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- affiliation: Ca' Foscari Università Venezia
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2020 – today
- 2024
[j79]Antonio Emanuele Cinà
, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Machine Learning Security Against Data Poisoning: Are We There Yet? Computer 57(3): 26-34 (2024)- [j78]Jian Hou, Houshen Lin, Huaqiang Yuan, Marcello Pelillo:
Flexible density peak clustering for real-world data. Pattern Recognit. 156: 110772 (2024) - [j77]Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Hierarchical Glocal Attention Pooling for Graph Classification. Pattern Recognit. Lett. 186: 71-77 (2024) - [c122]Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo:
Understanding XAI Through the Philosopher's Lens: A Historical Perspective. ECAI 2024: 987-994 - [i52]Antonio Emanuele Cinà, Francesco Villani, Maura Pintor, Lea Schönherr, Battista Biggio, Marcello Pelillo:
σ-zero: Gradient-based Optimization of 𝓁0-norm Adversarial Examples. CoRR abs/2402.01879 (2024) - [i51]Martina Mattioli, Antonio Emanuele Cinà, Marcello Pelillo:
Understanding XAI Through the Philosopher's Lens: A Historical Perspective. CoRR abs/2407.18782 (2024) - [i50]Sara Ferro, Alessandro Torcinovich, Arianna Traviglia, Marcello Pelillo:
Boosting CNN-based Handwriting Recognition Systems with Learnable Relaxation Labeling. CoRR abs/2409.05699 (2024) - 2023
- [j76]Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli:
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55(13s): 294:1-294:39 (2023) - [j75]Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2505-2518 (2023) - [j74]Jian Hou, Huaqiang Yuan, Marcello Pelillo:
Game-theoretic hypergraph matching with density enhancement. Pattern Recognit. 133: 109035 (2023) - [j73]Jian Hou, Huaqiang Yuan, Marcello Pelillo:
Towards Parameter-Free Clustering for Real-World Data. Pattern Recognit. 134: 109062 (2023) - [j72]Hebatallah A. Mohamed, Diego Pilutti, Stuart James, Alessio Del Bue, Marcello Pelillo, Sebastiano Vascon:
Locality-aware subgraphs for inductive link prediction in knowledge graphs. Pattern Recognit. Lett. 167: 90-97 (2023) - [c121]Aref Enayati, Luca Palmieri, Sebastiano Vascon, Marcello Pelillo, Sinem Aslan:
Semantic Motif Segmentation of Archaeological Fresco Fragments. ICCV (Workshops) 2023: 1709-1717 - [c120]Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. ICIAP (2) 2023: 515-526 - [c119]Sara Ferro, Debora Pasquariello, Marcello Pelillo, Arianna Traviglia:
The Specchieri MarVen Dataset: an Abbreviation-Rich Dataset in Venetian Idiom. ICIAP (2) 2023: 527-539 - [c118]Sara Ferro, Alessandro Torcinovich, Arianna Traviglia, Marcello Pelillo:
Exploiting Context in Handwriting Recognition Using Trainable Relaxation Labeling. ICPRAM 2023: 574-581 - [c117]Waqar Ali, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Quasi-CliquePool: Hierarchical Graph Pooling for Graph Classification. SAC 2023: 544-552 - [c116]Ben Vardi, Alessandro Torcinovich, Marina Khoroshiltseva, Marcello Pelillo, Ohad Ben-Shahar:
Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving. VISIGRAPP (4: VISAPP) 2023: 785-795 - [i49]Ben Vardi, Alessandro Torcinovich, Marina Khoroshiltseva, Marcello Pelillo, Ohad Ben-Shahar:
Multi-Phase Relaxation Labeling for Square Jigsaw Puzzle Solving. CoRR abs/2303.14793 (2023) - [i48]Ali Alagrami, Luca Palmieri, Sinem Aslan, Marcello Pelillo, Sebastiano Vascon:
Reassembling Broken Objects using Breaking Curves. CoRR abs/2306.02782 (2023) - [i47]Dario Lazzaro, Antonio Emanuele Cinà, Maura Pintor, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training. CoRR abs/2307.00368 (2023) - [i46]G. Beretta, G. Chiarot, Antonio Emanuele Cinà, Marcello Pelillo:
Vector Flows and the Capacity of a Discrete Memoryless Channel. CoRR abs/2312.16472 (2023) - 2022
- [j71]Paul Lukowicz, Anton Nijholt, Kaleem Siddiqi, Marcello Pelillo, Kristof Van Laerhoven, Luca Viganò, Nicola Zannone:
Editorial: 2021 editors' pick: Computer science. Frontiers Comput. Sci. 4 (2022) - [j70]Qihua Li, Xing Tian, Wing W. Y. Ng, Marcello Pelillo:
Hashing-based affinity matrix for dominant set clustering. Neurocomputing 501: 544-554 (2022) - [j69]Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7778-7796 (2022) - [j68]Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo:
A black-box adversarial attack for poisoning clustering. Pattern Recognit. 122: 108306 (2022) - [j67]Jian Hou, Marcello Pelillo, Huaqiang Yuan:
Hypergraph matching via game-theoretic hypergraph clustering. Pattern Recognit. 125: 108526 (2022) - [j66]Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo, Liangpei Zhang:
Asymmetric Siamese Networks for Semantic Change Detection in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c115]Marina Khoroshiltseva, Arianna Traviglia, Marcello Pelillo, Sebastiano Vascon:
Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders. ICIAP (3) 2022: 27-38 - [c114]Hebatallah A. Mohamed Hassan, Sebastiano Vascon, Feliks Hibraj, Stuart James, Diego Pilutti, Alessio Del Bue, Marcello Pelillo:
Geolocation of Cultural Heritage Using Multi-view Knowledge Graph Embedding. ICPR Workshops (3) 2022: 142-154 - [i45]Antonio Emanuele Cinà, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Energy-Latency Attacks via Sponge Poisoning. CoRR abs/2203.08147 (2022) - [i44]Marina Khoroshiltseva, Arianna Traviglia, Marcello Pelillo, Sebastiano Vascon:
Relaxation Labeling Meets GANs: Solving Jigsaw Puzzles with Missing Borders. CoRR abs/2203.14428 (2022) - [i43]Ismail Elezi, Jenny Seidenschwarz, Laurin Wagner, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss++: A deeper look into group loss for deep metric learning. CoRR abs/2204.01509 (2022) - [i42]Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Machine Learning Security against Data Poisoning: Are We There Yet? CoRR abs/2204.05986 (2022) - [i41]Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli:
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR abs/2205.01992 (2022) - [i40]Hebatallah A. Mohamed, Sebastiano Vascon, Feliks Hibraj, Stuart James, Diego Pilutti, Alessio Del Bue, Marcello Pelillo:
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding. CoRR abs/2209.03638 (2022) - 2021
- [j65]Pascal Bohleber, Marco Roman, Carlo Barbante, Sebastiano Vascon, Kaleem Siddiqi, Marcello Pelillo:
Ice Core Science Meets Computer Vision: Challenges and Perspectives. Frontiers Comput. Sci. 3: 690276 (2021) - [j64]Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong:
HELP: An LSTM-based approach to hyperparameter exploration in neural network learning. Neurocomputing 442: 161-172 (2021) - [j63]Sebastiano Smaniotto, Marcello Pelillo:
Two metrics for attributed hypergraphs. Pattern Recognit. Lett. 149: 143-149 (2021) - [j62]Ting Wang, Wing W. Y. Ng, Marcello Pelillo, Sam Kwong:
LiSSA: Localized Stochastic Sensitive Autoencoders. IEEE Trans. Cybern. 51(5): 2748-2760 (2021) - [c113]Marina Khoroshiltseva, Ben Vardi, Alessandro Torcinovich, Arianna Traviglia, Ohad Ben-Shahar, Marcello Pelillo:
Jigsaw Puzzle Solving as a Consistent Labeling Problem. CAIP (2) 2021: 392-402 - [c112]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. ICCVW 2021: 762-768 - [c111]Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? IJCNN 2021: 1-8 - [c110]Sebastiano Vascon, Sinem Aslan, Gianluca Bigaglia, Lorenzo Giudice, Marcello Pelillo:
Transductive Visual Verb Sense Disambiguation. WACV 2021: 3049-3058 - [e16]Wil M. P. van der Aalst, Vladimir Batagelj, Alexey Buzmakov, Dmitry I. Ignatov, Anna A. Kalenkova, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Ilya Makarov, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Recent Trends in Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020 Revised Supplementary Proceedings. Communications in Computer and Information Science 1357, Springer 2021, ISBN 978-3-030-71213-6 [contents] - [e15]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 9th International Conference, AIST 2020, Skolkovo, Moscow, Russia, October 15-16, 2020, Revised Selected Papers. Lecture Notes in Computer Science 12602, Springer 2021, ISBN 978-3-030-72609-6 [contents] - [e14]Andrea Torsello, Luca Rossi, Marcello Pelillo, Battista Biggio, Antonio Robles-Kelly:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, S+SSPR 2020, Padua, Italy, January 21-22, 2021, Proceedings. Lecture Notes in Computer Science 12644, Springer 2021, ISBN 978-3-030-73972-0 [contents] - [i39]Jian Ding, Nan Xue, Gui-Song Xia, Xiang Bai, Wen Yang, Michael Ying Yang, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
Object Detection in Aerial Images: A Large-Scale Benchmark and Challenges. CoRR abs/2102.12219 (2021) - [i38]Antonio Emanuele Cinà, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
The Hammer and the Nut: Is Bilevel Optimization Really Needed to Poison Linear Classifiers? CoRR abs/2103.12399 (2021) - [i37]Pascal Bohleber, Marco Roman, Carlo Barbante, Sebastiano Vascon, Kaleem Siddiqi, Marcello Pelillo:
Ice Core Science Meets Computer Vision: Challenges and Perspectives. CoRR abs/2104.04430 (2021) - [i36]Antonio Emanuele Cinà, Kathrin Grosse, Sebastiano Vascon, Ambra Demontis, Battista Biggio, Fabio Roli, Marcello Pelillo:
Backdoor Learning Curves: Explaining Backdoor Poisoning Beyond Influence Functions. CoRR abs/2106.07214 (2021) - [i35]Gui-Song Xia, Jian Ding, Ming Qian, Nan Xue, Jiaming Han, Xiang Bai, Michael Ying Yang, Shengyang Li, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, Qiang Zhou, Chao-hui Yu, Kaixuan Hu, Yingjia Bu, Wenming Tan, Zhe Yang, Wei Li, Shang Liu, Jiaxuan Zhao, Tianzhi Ma, Zi-han Gao, Lingqi Wang, Yi Zuo, Licheng Jiao, Chang Meng, Hao Wang, Jiahao Wang, Yiming Hui, Zhuojun Dong, Jie Zhang, Qianyue Bao, Zixiao Zhang, Fang Liu:
LUAI Challenge 2021 on Learning to Understand Aerial Images. CoRR abs/2108.13246 (2021) - [i34]Alessandro Betti, Marco Gori, Stefano Melacci, Marcello Pelillo, Fabio Roli:
Can machines learn to see without visual databases? CoRR abs/2110.05973 (2021) - 2020
- [j61]Leulseged Tesfaye Alemu, Marcello Pelillo:
Multi-feature fusion for image retrieval using constrained dominant sets. Image Vis. Comput. 94: 103862 (2020) - [j60]Wing W. Y. Ng, Xiaoxia Jiang, Xing Tian, Marcello Pelillo, Hui Wang, Sam Kwong:
Incremental hashing with sample selection using dominant sets. Int. J. Mach. Learn. Cybern. 11(12): 2689-2702 (2020) - [j59]Fu-Dong Wang, Nan Xue, Yipeng Zhang, Gui-Song Xia, Marcello Pelillo:
A Functional Representation for Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2737-2754 (2020) - [j58]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. Pattern Recognit. 98 (2020) - [j57]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Sebastiano Vascon, Marcello Pelillo:
Biclustering with dominant sets. Pattern Recognit. 104: 107318 (2020) - [j56]Sinem Aslan, Sebastiano Vascon, Marcello Pelillo:
Two sides of the same coin: Improved ancient coin classification using Graph Transduction Games. Pattern Recognit. Lett. 131: 158-165 (2020) - [j55]Sebastiano Vascon, Marco Frasca, Rocco Tripodi, Giorgio Valentini, Marcello Pelillo:
Protein function prediction as a graph-transduction game. Pattern Recognit. Lett. 134: 96-105 (2020) - [c109]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. ECCV (7) 2020: 277-294 - [e13]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [i33]Feliks Hibraj, Marcello Pelillo, Saverio Salzo, Massimiliano Pontil:
Efficient Tensor Kernel methods for sparse regression. CoRR abs/2003.10482 (2020) - [i32]Antonio Emanuele Cinà, Alessandro Torcinovich, Marcello Pelillo:
A Black-box Adversarial Attack for Poisoning Clustering. CoRR abs/2009.05474 (2020) - [i31]Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo:
Asymmetric Siamese Networks for Semantic Change Detection. CoRR abs/2010.05687 (2020) - [i30]Sebastiano Vascon, Samuel Rota Bulò, Vittorio Murino, Marcello Pelillo:
DSLib: An open source library for the dominant set clustering method. CoRR abs/2010.07906 (2020) - [i29]Sebastiano Vascon, Sinem Aslan, Gianluca Bigaglia, Lorenzo Giudice, Marcello Pelillo:
Transductive Visual Verb Sense Disambiguation. CoRR abs/2012.10821 (2020)
2010 – 2019
- 2019
- [j54]Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati, Marcello Pelillo, Mubarak Shah:
Multi-target Tracking in Multiple Non-overlapping Cameras Using Fast-Constrained Dominant Sets. Int. J. Comput. Vis. 127(9): 1303-1320 (2019) - [j53]Eyasu Zemene, Yonatan Tariku Tesfaye, Haroon Idrees, Andrea Prati, Marcello Pelillo, Mubarak Shah:
Large-Scale Image Geo-Localization Using Dominant Sets. IEEE Trans. Pattern Anal. Mach. Intell. 41(1): 148-161 (2019) - [j52]Eyasu Zemene Mequanint, Leulseged Tesfaye Alemu, Marcello Pelillo:
Dominant Sets for "Constrained" Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2438-2451 (2019) - [j51]Giulia Sandi, Sebastiano Vascon, Marcello Pelillo:
Hypergraph isomorphism using association hypergraphs. Pattern Recognit. Lett. 128: 393-399 (2019) - [c108]Leulseged Tesfaye Alemu, Mubarak Shah, Marcello Pelillo:
Deep Constrained Dominant Sets for Person Re-Identification. ICCV 2019: 9854-9863 - [c107]Sinem Aslan, Marcello Pelillo:
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets. ICIAP (2) 2019: 425-436 - [c106]Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. IJCNN 2019: 1-8 - [e12]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Yu. Khachay, Valentina V. Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [i28]Fudong Wang, Gui-Song Xia, Nan Xue, Yipeng Zhang, Marcello Pelillo:
A Functional Representation for Graph Matching. CoRR abs/1901.05179 (2019) - [i27]Leulseged Tesfaye Alemu, Mubarak Shah, Marcello Pelillo:
Deep Constrained Dominant Sets for Person Re-identification. CoRR abs/1904.11397 (2019) - [i26]Sebastiano Vascon, Sinem Aslan, Alessandro Torcinovich, Twan van Laarhoven, Elena Marchiori, Marcello Pelillo:
Unsupervised Domain Adaptation using Graph Transduction Games. CoRR abs/1905.02036 (2019) - [i25]Marco Fiorucci, Francesco Pelosin, Marcello Pelillo:
Separating Structure from Noise in Large Graphs Using the Regularity Lemma. CoRR abs/1905.06917 (2019) - [i24]Chu Wang, Marcello Pelillo, Kaleem Siddiqi:
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. CoRR abs/1906.01592 (2019) - [i23]Sinem Aslan, Marcello Pelillo:
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets. CoRR abs/1909.09414 (2019) - [i22]Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé:
The Group Loss for Deep Metric Learning. CoRR abs/1912.00385 (2019) - 2018
- [c105]Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
DOTA: A Large-Scale Dataset for Object Detection in Aerial Images. CVPR 2018: 3974-3983 - [c104]Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo:
Characterization of Visual Object Representations in Rat Primary Visual Cortex. ECCV Workshops (3) 2018: 577-586 - [c103]Jian Ding, Zhen Zhu, Gui-Song Xia, Xiang Bai, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
ICPR2018 Contest on Object Detection in Aerial Images (ODAI-18). ICPR 2018: 1-6 - [c102]Jian Hou, Marcello Pelillo:
A Game- Theoretic Hyper-Graph Matching Algorithm. ICPR 2018: 1012-1017 - [c101]Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo:
Transductive Label Augmentation for Improved Deep Network Learning. ICPR 2018: 1432-1437 - [c100]Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Speaker Clustering Using Dominant Sets. ICPR 2018: 3549-3554 - [c99]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects. ICPR 2018: 3704-3709 - [c98]Giulia Sandi, Sebastiano Vascon, Marcello Pelillo:
On Association Graph Techniques for Hypergraph Matching. S+SSPR 2018: 481-490 - [e11]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Olessia Koltsova, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Supplementary Proceedings of the Seventh International Conference on Analysis of Images, Social Networks and Texts (AIST 2018), Moscow, Russia, July 5 - 7, 2018. CEUR Workshop Proceedings 2268, CEUR-WS.org 2018 [contents] - [e10]Wil M. P. van der Aalst, Vladimir Batagelj, Goran Glavas, Dmitry I. Ignatov, Michael Yu. Khachay, Sergei O. Kuznetsov, Olessia Koltsova, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Alexander Panchenko, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko:
Analysis of Images, Social Networks and Texts - 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11179, Springer 2018, ISBN 978-3-030-11026-0 [contents] - [e9]Marcello Pelillo, Edwin R. Hancock:
Energy Minimization Methods in Computer Vision and Pattern Recognition - 11th International Conference, EMMCVPR 2017, Venice, Italy, October 30 - November 1, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10746, Springer 2018, ISBN 978-3-319-78198-3 [contents] - [e8]Marcello Pelillo, Irene Poli, Andrea Roli, Roberto Serra, Debora Slanzi, Marco Villani:
Artificial Life and Evolutionary Computation - 12th Italian Workshop, WIVACE 2017, Venice, Italy, September 19-21, 2017, Revised Selected Papers. Communications in Computer and Information Science 830, Springer 2018, ISBN 978-3-319-78657-5 [contents] - [i21]Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Marcello Pelillo, Thilo Stadelmann:
DeepScores - A Dataset for Segmentation, Detection and Classification of Tiny Objects. CoRR abs/1804.00525 (2018) - [i20]Feliks Hibraj, Sebastiano Vascon, Thilo Stadelmann, Marcello Pelillo:
Speaker Clustering Using Dominant Sets. CoRR abs/1805.08641 (2018) - [i19]Ismail Elezi, Alessandro Torcinovich, Sebastiano Vascon, Marcello Pelillo:
Transductive Label Augmentation for Improved Deep Network Learning. CoRR abs/1805.10546 (2018) - [i18]Tewodros Mulugeta Dagnew, Dalia Coppi, Marcello Pelillo, Rita Cucchiara:
A Graph Transduction Game for Multi-target Tracking. CoRR abs/1806.07227 (2018) - [i17]Leulseged Tesfaye Alemu, Marcello Pelillo:
Multi-feature Fusion for Image Retrieval Using Constrained Dominant Sets. CoRR abs/1808.05075 (2018) - [i16]Sinem Aslan, Sebastiano Vascon, Marcello Pelillo:
Ancient Coin Classification Using Graph Transduction Games. CoRR abs/1810.01091 (2018) - [i15]Sebastiano Vascon, Ylenia Parin, Eis Annavini, Mattia D'Andola, Davide Zoccolan, Marcello Pelillo:
Characterization of Visual Object Representations in Rat Primary Visual Cortex. CoRR abs/1810.01193 (2018) - [i14]Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann:
DeepScores and Deep Watershed Detection: current state and open issues. CoRR abs/1810.05423 (2018) - [i13]Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli:
Is Data Clustering in Adversarial Settings Secure? CoRR abs/1811.09982 (2018) - 2017
- [j50]Rocco Tripodi, Marcello Pelillo:
A Game-Theoretic Approach to Word Sense Disambiguation. Comput. Linguistics 43(1): 31-70 (2017) - [j49]Samuel Rota Bulò, Marcello Pelillo:
Dominant-set clustering: A review. Eur. J. Oper. Res. 262(1): 1-13 (2017) - [j48]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing structure in large graphs: Szemerédi's regularity lemma and its use in pattern recognition. Pattern Recognit. Lett. 87: 4-11 (2017) - [j47]Samuel Rota Bulò, Battista Biggio, Ignazio Pillai, Marcello Pelillo, Fabio Roli:
Randomized Prediction Games for Adversarial Machine Learning. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2466-2478 (2017) - [c97]Chu Wang, Marcello Pelillo, Kaleem Siddiqi:
Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition. BMVC 2017 - [c96]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Marcello Pelillo:
Dominant Set Biclustering. EMMCVPR 2017: 49-61 - [c95]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay Between Strong Regularity and Graph Densification. GbRPR 2017: 165-174 - [c94]Alessandro Torcinovich, Marco Fratton, Marcello Pelillo, Alberto Pravato, Alessandro Roncato:
A Computer Vision System for Monitoring Ice-Cream Freezers. ICIAP (2) 2017: 333-342 - [c93]Marco Fiorucci, Marco Fratton, Tinsae G. Dulecha, Marcello Pelillo, Alberto Pravato, Alessandro Roncato:
A Computer Vision System for the Automatic Inventory of a Cooler. ICIAP (1) 2017: 575-585 - [i12]Eyasu Zemene, Yonatan Tariku, Haroon Idrees, Andrea Prati, Marcello Pelillo, Mubarak Shah:
Large-scale Image Geo-Localization Using Dominant Sets. CoRR abs/1702.01238 (2017) - [i11]Marco Fiorucci, Alessandro Torcinovich, Manuel Curado, Francisco Escolano, Marcello Pelillo:
On the Interplay between Strong Regularity and Graph Densification. CoRR abs/1703.07107 (2017) - [i10]Yonatan Tariku Tesfaye, Eyasu Zemene, Andrea Prati, Marcello Pelillo, Mubarak Shah:
Multi-Target Tracking in Multiple Non-Overlapping Cameras using Constrained Dominant Sets. CoRR abs/1706.06196 (2017) - [i9]Eyasu Zemene, Leulseged Tesfaye Alemu, Marcello Pelillo:
Dominant Sets for "Constrained" Image Segmentation. CoRR abs/1707.05309 (2017) - [i8]Gui-Song Xia, Xiang Bai, Jian Ding, Zhen Zhu, Serge J. Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang:
DOTA: A Large-scale Dataset for Object Detection in Aerial Images. CoRR abs/1711.10398 (2017) - 2016
- [j46]Sebastiano Vascon, Eyasu Zemene Mequanint, Marco Cristani, Hayley Hung, Marcello Pelillo, Vittorio Murino:
Detecting conversational groups in images and sequences: A robust game-theoretic approach. Comput. Vis. Image Underst. 143: 11-24 (2016) - [j45]Yonatan Tariku Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati:
Multi-object tracking using dominant sets. IET Comput. Vis. 10(4): 289-297 (2016) - [j44]Marcello Pelillo, Edwin R. Hancock, Xuelong Li, Vittorio Murino:
Guest Editorial Special Section on Learning in Non-(geo)metric Spaces. IEEE Trans. Neural Networks Learn. Syst. 27(6): 1290-1293 (2016) - [c92]Eyasu Zemene, Marcello Pelillo:
Interactive Image Segmentation Using Constrained Dominant Sets. ECCV (8) 2016: 278-294 - [c91]Jian Hou, Marcello Pelillo:
A new density kernel in density peak based clustering. ICPR 2016: 468-473 - [c90]Rocco Tripodi, Sebastiano Vascon, Marcello Pelillo:
Context aware nonnegative matrix factorization clustering. ICPR 2016: 1719-1724 - [c89]Eyasu Zemene, Yonatan Tariku Tesfaye, Andrea Prati, Marcello Pelillo:
Simultaneous clustering and outlier detection using dominant sets. ICPR 2016: 2325-2330 - [c88]Eyasu Zemene, Leulseged Tesfaye Alemu, Marcello Pelillo:
Constrained dominant sets for retrieval. ICPR 2016: 2568-2573 - [c87]Rocco Tripodi, Marcello Pelillo:
Document Clustering Games in Static and Dynamic Scenarios. ICPRAM (Revised Selected Papers) 2016: 20-42 - [c86]Rocco Tripodi, Marcello Pelillo:
Document Clustering Games. ICPRAM 2016: 109-118 - [i7]Rocco Tripodi, Marcello Pelillo:
A Game-Theoretic Approach to Word Sense Disambiguation. CoRR abs/1606.07711 (2016) - [i6]Rocco Tripodi, Marcello Pelillo:
Document Clustering Games in Static and Dynamic Scenarios. CoRR abs/1607.02436 (2016) - [i5]Eyasu Zemene, Marcello Pelillo:
Interactive Image Segmentation Using Constrained Dominant Sets. CoRR abs/1608.00641 (2016) - [i4]Samuel Rota Bulò, Battista Biggio, Ignazio Pillai, Marcello Pelillo, Fabio Roli:
Randomized Prediction Games for Adversarial Machine Learning. CoRR abs/1609.00804 (2016) - [i3]Rocco Tripodi, Sebastiano Vascon, Marcello Pelillo:
Context Aware Nonnegative Matrix Factorization Clustering. CoRR abs/1609.04628 (2016) - [i2]Marcello Pelillo, Ismail Elezi, Marco Fiorucci:
Revealing Structure in Large Graphs: Szemerédi's Regularity Lemma and its Use in Pattern Recognition. CoRR abs/1609.06583 (2016) - 2015
- [j43]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Probabilistic consensus clustering using evidence accumulation. Mach. Learn. 98(1-2): 331-357 (2015) - [j42]Farshad Nourbakhsh, Samuel Rota Bulò, Marcello Pelillo:
A matrix factorization approach to graph compression with partial information. Int. J. Mach. Learn. Cybern. 6(4): 523-536 (2015) - [j41]Marcello Pelillo:
Special issue on "Philosophical Aspects of Pattern Recognition". Pattern Recognit. Lett. 64: 1-2 (2015) - [j40]Marcello Pelillo, Teresa Scantamburlo, Viola Schiaffonati:
Pattern recognition between science and engineering: A red herring? Pattern Recognit. Lett. 64: 3-10 (2015) - [c85]A. K. Hamid, L. S. Melaku, Marcello Pelillo, Andrea Prati:
Using dominant sets for data association in multi-camera tracking. ICDSC 2015: 38-43 - [c84]Eyasu Zemene, Marcello Pelillo:
Path-Based Dominant-Set Clustering. ICIAP (1) 2015: 150-160 - [c83]Marco Gori, Marco Lippi, Marco Maggini, Stefano Melacci, Marcello Pelillo:
En Plein Air Visual Agents. ICIAP (2) 2015: 697-709 - [c82]Marcello Pelillo:
Towards a Holistic Theory of Pattern Recognition - A Game-theoretic Perspective. ICPRAM (1) 2015: IS-9 - [c81]Rocco Tripodi, Marcello Pelillo:
WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation. SemEval@NAACL-HLT 2015: 329-334 - [c80]Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo:
Similarity Analysis from Limiting Quantum Walks. SIMBAD 2015: 38-53 - [c79]Eyasu Zemene Mequanint, Samuel Rota Bulò, Marcello Pelillo:
Dominant-Set Clustering Using Multiple Affinity Matrices. SIMBAD 2015: 186-198 - [e7]Aasa Feragen, Marcello Pelillo, Marco Loog:
Similarity-Based Pattern Recognition - Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015, Proceedings. Lecture Notes in Computer Science 9370, Springer 2015, ISBN 978-3-319-24260-6 [contents] - 2014
- [j39]Peter Kontschieder, Samuel Rota Bulò, Marcello Pelillo, Horst Bischof:
Structured Labels in Random Forests for Semantic Labelling and Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 36(10): 2104-2116 (2014) - [j38]Marcello Pelillo:
Alhazen and the nearest neighbor rule. Pattern Recognit. Lett. 38: 34-37 (2014) - [c78]Sebastiano Vascon, Eyasu Zemene Mequanint, Marco Cristani, Hayley Hung, Marcello Pelillo, Vittorio Murino:
A Game-Theoretic Probabilistic Approach for Detecting Conversational Groups. ACCV (5) 2014: 658-675 - [c77]Farshad Nourbakhsh, Samuel Rota Bulò, Marcello Pelillo:
A Matrix Factorization Approach to Graph Compression. ICPR 2014: 76-81 - [c76]Battista Biggio, Samuel Rota Bulò, Ignazio Pillai, Michele Mura, Eyasu Zemene Mequanint, Marcello Pelillo, Fabio Roli:
Poisoning Complete-Linkage Hierarchical Clustering. S+SSPR 2014: 42-52 - [p5]Marcello Pelillo, Samuel Rota Bulò:
Clustering Games. Registration and Recognition in Images and Videos 2014: 157-186 - [e6]Pasi Fränti, Gavin Brown, Marco Loog, Francisco Escolano, Marcello Pelillo:
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2014, Joensuu, Finland, August 20-22, 2014. Proceedings. Lecture Notes in Computer Science 8621, Springer 2014, ISBN 978-3-662-44414-6 [contents] - 2013
- [j37]Nicola Di Mauro, Paolo Frasconi, Fabrizio Angiulli, Davide Bacciu, Marco de Gemmis, Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Marco Gori, Francesca A. Lisi, Pasquale Lops, Donato Malerba, Alessio Micheli, Marcello Pelillo, Francesco Ricci, Fabrizio Riguzzi, Lorenza Saitta, Giovanni Semeraro:
Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 7(2): 77-89 (2013) - [j36]Samuel Rota Bulò, Marcello Pelillo:
A Game-Theoretic Approach to Hypergraph Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1312-1327 (2013) - [j35]Jian Hou, Marcello Pelillo:
A simple feature combination method based on dominant sets. Pattern Recognit. 46(11): 3129-3139 (2013) - [c75]Marcello Pelillo, Teresa Scantamburlo:
How Mature Is the Field of Machine Learning? AI*IA 2013: 121-132 - [c74]Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli:
Is data clustering in adversarial settings secure? AISec 2013: 87-98 - [c73]André Lourenço, Samuel Rota Bulò, Carlos Carreiras, Hugo Silva, Ana L. N. Fred, Marcello Pelillo:
Dominant Set Approach to ECG Biometrics. CIARP (1) 2013: 535-542 - [c72]André Lourenço, Samuel Rota Bulò, Ana L. N. Fred, Marcello Pelillo:
Consensus Clustering with Robust Evidence Accumulation. EMMCVPR 2013: 307-320 - [c71]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Consensus Clustering Using Partial Evidence Accumulation. IbPRIA 2013: 69-78 - [c70]Sebastiano Vascon, Marco Cristani, Marcello Pelillo, Vittorio Murino:
Using Dominant Sets for k-NN Prototype Selection. ICIAP (2) 2013: 131-140 - [c69]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Probabilistic Evidence Accumulation for Clustering Ensembles. ICPRAM 2013: 58-67 - [c68]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
A MAP Approach to Evidence Accumulation Clustering. ICPRAM (Selected Papers) 2013: 85-100 - [c67]Nicola Rebagliati, Samuel Rota Bulò, Marcello Pelillo:
Correlation Clustering with Stochastic Labellings. SIMBAD 2013: 120-133 - [p4]Marcello Pelillo:
Introduction: The SIMBAD Project. Similarity-Based Pattern Analysis and Recognition 2013: 1-10 - [p3]Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário A. T. Figueiredo, Marcello Pelillo:
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm. Similarity-Based Pattern Analysis and Recognition 2013: 85-117 - [p2]Marcello Pelillo, Samuel Rota Bulò, Andrea Torsello, Andrea Albarelli, Emanuele Rodolà:
A Game-Theoretic Approach to Pairwise Clustering and Matching. Similarity-Based Pattern Analysis and Recognition 2013: 179-216 - [e5]Edwin R. Hancock, Marcello Pelillo:
Similarity-Based Pattern Recognition - Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings. Lecture Notes in Computer Science 7953, Springer 2013, ISBN 978-3-642-39139-2 [contents] - [e4]Marcello Pelillo:
Similarity-Based Pattern Analysis and Recognition. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-5627-7 [contents] - 2012
- [j34]Peter Kontschieder, Samuel Rota Bulò, Michael Donoser, Marcello Pelillo, Horst Bischof:
Evolutionary Hough Games for coherent object detection. Comput. Vis. Image Underst. 116(11): 1149-1158 (2012) - [j33]Aykut Erdem, Marcello Pelillo:
Graph Transduction as a Noncooperative Game. Neural Comput. 24(3): 700-723 (2012) - [c66]Samuel Rota Bulò, Peter Kontschieder, Marcello Pelillo, Horst Bischof:
Structured Local Predictors for image labelling. CVPR 2012: 3530-3537 - [c65]Nicola Rebagliati, Albert Solé-Ribalta, Marcello Pelillo, Francesc Serratosa:
Computing the graph edit distance using dominant sets. ICPR 2012: 1080-1083 - [c64]Peter Kontschieder, Samuel Rota Bulò, Antonio Criminisi, Pushmeet Kohli, Marcello Pelillo, Horst Bischof:
Context-Sensitive Decision Forests for Object Detection. NIPS 2012: 440-448 - [c63]Nicola Rebagliati, Albert Solé-Ribalta, Marcello Pelillo, Francesc Serratosa:
On the Relation between the Common Labelling and the Median Graph. SSPR/SPR 2012: 107-115 - [i1]Nicola Rebagliati, Albert Solé-Ribalta, Marcello Pelillo, Francesc Serratosa:
On the Relation Between the Common Labelling and the Median Graph. CoRR abs/1210.8262 (2012) - 2011
- [j32]Samuel Rota Bulò, Marcello Pelillo, Immanuel M. Bomze:
Graph-based quadratic optimization: A fast evolutionary approach. Comput. Vis. Image Underst. 115(7): 984-995 (2011) - [j31]Samuel Rota Bulò, Massimo Rabbi, Marcello Pelillo:
Content-based image retrieval with relevance feedback using random walks. Pattern Recognit. 44(9): 2109-2122 (2011) - [c62]Peter Kontschieder, Samuel Rota Bulò, Michael Donoser, Marcello Pelillo, Horst Bischof:
Semantic Image Labelling as a Label Puzzle Game. BMVC 2011: 1-12 - [c61]Aykut Erdem, Marcello Pelillo:
Graph Transduction as a Non-cooperative Game. GbRPR 2011: 195-204 - [c60]Peter Kontschieder, Samuel Rota Bulò, Horst Bischof, Marcello Pelillo:
Structured class-labels in random forests for semantic image labelling. ICCV 2011: 2190-2197 - [e3]Marcello Pelillo, Edwin R. Hancock:
Similarity-Based Pattern Recognition - First International Workshop, SIMBAD 2011, Venice, Italy, September 28-30, 2011. Proceedings. Lecture Notes in Computer Science 7005, Springer 2011, ISBN 978-3-642-24470-4 [contents] - 2010
- [c59]Samuel Rota Bulò, Marcello Pelillo:
Probabilistic Clustering Using the Baum-Eagon Inequality. ICPR 2010: 1429-1432 - [c58]Samuel Rota Bulò, Immanuel M. Bomze, Marcello Pelillo:
Fast Population Game Dynamics for Dominant Sets and Other Quadratic Optimization Problems. SSPR/SPR 2010: 275-285 - [c57]Samuel Rota Bulò, André Lourenço, Ana L. N. Fred, Marcello Pelillo:
Pairwise Probabilistic Clustering Using Evidence Accumulation. SSPR/SPR 2010: 395-404 - [c56]Samuel Rota Bulò, Marcello Pelillo:
A New Spectral Bound on the Clique Number of Graphs. SSPR/SPR 2010: 680-689
2000 – 2009
- 2009
- [j30]Samuel Rota Bulò, Andrea Torsello, Marcello Pelillo:
A game-theoretic approach to partial clique enumeration. Image Vis. Comput. 27(7): 911-922 (2009) - [j29]Samuel Rota Bulò, Marcello Pelillo:
A generalization of the Motzkin-Straus theorem to hypergraphs. Optim. Lett. 3(2): 287-295 (2009) - [c55]Andrea Torsello, Marcello Pelillo:
Hierarchical Pairwise Segmentation Using Dominant Sets and Anisotropic Diffusion Kernels. EMMCVPR 2009: 182-192 - [c54]Andrea Albarelli, Samuel Rota Bulò, Andrea Torsello, Marcello Pelillo:
Matching as a non-cooperative game. ICCV 2009: 1319-1326 - [c53]Samuel Rota Bulò, Marcello Pelillo:
New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory. LION 2009: 45-58 - [c52]Samuel Rota Bulò, Marcello Pelillo:
A Game-Theoretic Approach to Hypergraph Clustering. NIPS 2009: 1571-1579 - [c51]Marcello Pelillo:
From Cliques to Equilibria: The Dominant-Set Framework for Pairwise Data Clustering. PRIS 2009: 5-5 - [r2]Marcello Pelillo:
Heuristics for Maximum Clique and Independent Set. Encyclopedia of Optimization 2009: 1508-1520 - [r1]Marcello Pelillo:
Replicator Dynamics in Combinatorial Optimization. Encyclopedia of Optimization 2009: 3279-3291 - 2008
- [c50]Samuel Rota Bulò, Andrea Albarelli, Andrea Torsello, Marcello Pelillo:
A hypergraph-based approach to affine parameters estimation. ICPR 2008: 1-4 - [c49]Andrea Torsello, Samuel Rota Bulò, Marcello Pelillo:
Beyond partitions: Allowing overlapping groups in pairwise clustering. ICPR 2008: 1-4 - [c48]Andrea Albarelli, Marcello Pelillo, Sebastiano Viviani:
Consensus Graphs for Symmetry Plane Estimation. SSPR/SPR 2008: 197-206 - 2007
- [j28]Massimiliano Pavan, Marcello Pelillo:
Dominant Sets and Pairwise Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 167-172 (2007) - [c47]Anna Sperotto, Marcello Pelillo:
Szemerédi's Regularity Lemma and Its Applications to Pairwise Clustering and Segmentation. EMMCVPR 2007: 13-27 - [c46]Samuel Rota Bulò, Andrea Torsello, Marcello Pelillo:
A Continuous-Based Approach for Partial Clique Enumeration. GbRPR 2007: 61-70 - [c45]Andrea Torsello, Marco Di Gesu, Marcello Pelillo:
Integrating Boundary Information in Pairwise Segmentation. ICIAP 2007: 23-28 - [c44]Andrea Torsello, Andrea Albarelli, Marcello Pelillo:
Matching Relational Structures using the Edge-Association Graph. ICIAP 2007: 775-780 - [c43]Samuel Rota Bulò, Marcello Pelillo:
A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs. LION 2007: 220-233 - 2006
- [j27]Roland Glantz, Marcello Pelillo:
Graph polynomials from principal pivoting. Discret. Math. 306(24): 3253-3266 (2006) - [j26]Marcello Pelillo, Andrea Torsello:
Payoff-Monotonic Game Dynamics and the Maximum Clique Problem. Neural Comput. 18(5): 1215-1258 (2006) - [j25]Manuele Bicego, Vittorio Murino, Marcello Pelillo, Andrea Torsello:
Similarity-based pattern recognition. Pattern Recognit. 39(10): 1813-1814 (2006) - [c42]Andrea Torsello, Samuel Rota Bulò, Marcello Pelillo:
Grouping with Asymmetric Affinities: A Game-Theoretic Perspective. CVPR (1) 2006: 292-299 - 2005
- [j24]Andrea Torsello, Dzena Hidovic Rowe, Marcello Pelillo:
Polynomial-Time Metrics for Attributed Trees. IEEE Trans. Pattern Anal. Mach. Intell. 27(7): 1087-1099 (2005) - [c41]Andrea Torsello, Massimiliano Pavan, Marcello Pelillo:
Spatio-temporal Segmentation Using Dominant Sets. EMMCVPR 2005: 301-315 - 2004
- [j23]Dzena Hidovic, Marcello Pelillo:
Metrics For Attributed Graphs Based On The Maximal Similarity Common Subgraph. Int. J. Pattern Recognit. Artif. Intell. 18(3): 299-313 (2004) - [j22]Roland Glantz, Marcello Pelillo, Walter G. Kropatsch:
Matching Segmentation Hierarchies. Int. J. Pattern Recognit. Artif. Intell. 18(3): 397-424 (2004) - [j21]Marco Locatelli, Immanuel M. Bomze, Marcello Pelillo:
The combinatorics of pivoting for the maximum weight clique. Oper. Res. Lett. 32(6): 523-529 (2004) - [j20]Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 145-146 (2004) - [c40]Andrea Torsello, Dzena Hidovic, Marcello Pelillo:
A Polynomial-Time Metric for Attributed Trees. ECCV (4) 2004: 414-427 - [c39]Massimiliano Pavan, Marcello Pelillo:
Efficiently Segmenting Images with Dominant Sets. ICIAR (1) 2004: 17-24 - [c38]Giacomo Colle, Marcello Pelillo:
Relaxation Labeling Processes for Protein Secondary Structure Prediction. ICPR (2) 2004: 355-358 - [c37]Andrea Torsello, Dzena Hidovic, Marcello Pelillo:
Four Metrics for Efficiently Comparing Attributed Trees. ICPR (2) 2004: 467-470 - [c36]Massimiliano Pavan, Marcello Pelillo:
Efficient Out-of-Sample Extension of Dominant-Set Clusters. NIPS 2004: 1057-1064 - [c35]Massimiliano Pavan, Marcello Pelillo:
Fast Dominant-Set Clustering. WIRN 2004: 281-289 - 2003
- [j19]Massimiliano Pavan, Marcello Pelillo:
Image Segmentation by Dominant Sets. Electron. Notes Discret. Math. 12: 166-177 (2003) - [j18]Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1361-1363 (2003) - [j17]Alessio Massaro, Marcello Pelillo:
Matching graphs by pivoting. Pattern Recognit. Lett. 24(8): 1099-1106 (2003) - [c34]Massimiliano Pavan, Marcello Pelillo:
Pairwise Data Clustering Using Monotone Game Dynamics. AI*IA 2003: 201-212 - [c33]Massimiliano Pavan, Marcello Pelillo:
Graph-Theoretic Approach to Clustering and Segmentation. CVPR (1) 2003: 145-152 - [c32]Massimiliano Pavan, Marcello Pelillo:
Generalizing the Motzkin-Straus Theorem to Edge-Weighted Graphs, with Applications to Image Segmentation. EMMCVPR 2003: 485-500 - [c31]Paolo Fosser, Roland Glantz, Marco Locatelli, Marcello Pelillo:
Swap Strategies for Graph Matching. GbRPR 2003: 142-153 - [c30]Roland Glantz, Marcello Pelillo:
Graph Polynomials, Principal Piovoting, and Maximum Independent Sets. GbRPR 2003: 166-177 - [c29]Massimiliano Pavan, Marcello Pelillo:
Dominant Sets and Hierarchical Clustering. ICCV 2003: 362-369 - [c28]Massimiliano Pavan, Marcello Pelillo:
Unsupervised texture segmentation by dominant sets and game dynamics. ICIAP 2003: 302-307 - [c27]Roland Glantz, Marcello Pelillo, Walter G. Kropatsch:
Hierarchical matching of panoramic images. ICIAP 2003: 328-333 - 2002
- [j16]Immanuel M. Bomze, Marco Budinich, Marcello Pelillo, Claudio Rossi:
Annealed replication: a new heuristic for the maximum clique problem. Discret. Appl. Math. 121(1-3): 27-49 (2002) - [j15]Marcello Pelillo:
Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 24(11): 1535-1541 (2002) - [j14]Alessio Massaro, Marcello Pelillo, Immanuel M. Bomze:
A Complementary Pivoting Approach to the Maximum Weight Clique Problem. SIAM J. Optim. 12(4): 928-948 (2002) - 2001
- [j13]Sven J. Dickinson, Marcello Pelillo, Ramin Zabih:
Introduction to the Special Section on Graph Algorithms in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 23(10): 1049-1052 (2001) - [c26]Marcello Pelillo:
Matching Free Trees, Maximal Cliques, and Monotone Game Dynamics. EMMCVPR 2001: 423-437 - [c25]Alessio Massaro, Marcello Pelillo:
A Complementary Pivoting Approach to Graph Matching. EMMCVPR 2001: 469-479 - [c24]Marcello Pelillo:
Evolutionary Game Dynamics in Combinatorial Optimization: An Overview. EvoWorkshops 2001: 182-192 - [c23]Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker:
Many-to-many Matching of Attributed Trees Using Association Graphs and Game Dynamics. IWVF 2001: 583-593 - [c22]Marcello Pelillo:
Matching Free Trees with Replicator Equations. NIPS 2001: 865-872 - [c21]Marcello Pelillo, Claudio Rossi:
Payoff-monotonic Game Dynamics for the Maximum Clique Problem. WIRN 2001: 144-150 - 2000
- [j12]Andrea Torsello, Marcello Pelillo:
Continuous-time relaxation labeling processes. Pattern Recognit. 33(11): 1897-1908 (2000) - [j11]Immanuel M. Bomze, Marcello Pelillo, Volker Stix:
Approximating the maximum weight clique using replicator dynamics. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1228-1241 (2000) - [c20]Massimo Bartoli, Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker:
Attributed Tree Homomorphism Using Association Graphs. ICPR 2000: 2133-2136 - [c19]Arun Jagota, Marcello Pelillo, Anand Rangarajan:
A New Deterministic Annealing Algorithm for Maximum Clique. IJCNN (6) 2000: 505-508
1990 – 1999
- 1999
- [j10]Marcello Pelillo:
Replicator Equations, Maximal Cliques, and Graph Isomorphism. Neural Comput. 11(8): 1933-1955 (1999) - [j9]Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker:
Matching Hierarchical Structures Using Association Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 21(11): 1105-1120 (1999) - [c18]Andrea Torsello, Marcello Pelillo:
Continuous-Time Relaxation Labeling Processes. EMMCVPR 1999: 253-268 - [c17]Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker:
Attributed Tree Matching and Maximum Weight Cliques. ICIAP 1999: 1154-1159 - [p1]Immanuel M. Bomze, Marco Budinich, Panos M. Pardalos, Marcello Pelillo:
The Maximum Clique Problem. Handbook of Combinatorial Optimization 1999: 1-74 - [e2]Edwin R. Hancock, Marcello Pelillo:
Energy Minimization Methods in Computer Vision and Pattern Recognition, Second International Workshop, EMMCVPR'99, York, UK, July 26-29, 1999, Proceedings. Lecture Notes in Computer Science 1654, Springer 1999, ISBN 3-540-66294-4 [contents] - 1998
- [j8]Edwin R. Hancock, Marcello Pelillo:
A Bayesian interpretation for the exponential correlation associative memory. Pattern Recognit. Lett. 19(2): 149-159 (1998) - [c16]Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker:
Matching Hierarchical Structures Using Association Graphs. ECCV (2) 1998: 3-16 - [c15]Marcello Pelillo:
A unifying framework for relational structure matching. ICPR 1998: 1316-1319 - [c14]Marcello Pelillo:
Replicator Equations, Maximal Cliques, and Graph Isomorphism. NIPS 1998: 550-556 - 1997
- [j7]Marcello Pelillo:
The Dynamics of Nonlinear Relaxation Labeling Processes. J. Math. Imaging Vis. 7(4): 309-323 (1997) - [j6]Marcello Pelillo, Anna Maria Fanelli:
Autoassociative learning in relaxation labeling networks. Pattern Recognit. Lett. 18(1): 3-12 (1997) - [j5]Giovanna Castellano, Anna Maria Fanelli, Marcello Pelillo:
An iterative pruning algorithm for feedforward neural networks. IEEE Trans. Neural Networks 8(3): 519-531 (1997) - [e1]Marcello Pelillo, Edwin R. Hancock:
Energy Minimization Methods in Computer Vision and Pattern Recognition, First International Workshop, EMMCVPR'97, Venice, Italy, May 21-23, 1997, Proceedings. Lecture Notes in Computer Science 1223, Springer 1997, ISBN 3-540-62909-2 [contents] - 1996
- [j4]Marcello Pelillo:
A Relaxation Algorithm for Estimating the Domain of Validity of Feedforward Neural Networks. Neural Process. Lett. 3(3): 113-121 (1996) - [c13]Marcello Pelillo, Anna Maria Fanelli:
Autoassociative learning in relaxation labeling networks. ICPR 1996: 105-110 - [c12]Edwin R. Hancock, Marcello Pelillo:
An analysis of the exponential correlation associative memory. ICPR 1996: 291-295 - [c11]Marcello Pelillo, Immanuel M. Bomze:
Parallelizable Evolutionary Dynamics Principles for Solving the Maximum Clique Problem. PPSN 1996: 676-685 - 1995
- [j3]Giovanna Castellano, Anna Maria Fanelli, Marcello Pelillo:
Iterative pruning in second-order recurrent neural networks. Neural Process. Lett. 2(6): 5-8 (1995) - [j2]Marcello Pelillo, Fabio Abbattista, Angelo Maffione:
An evolutionary approach to training relaxation labeling processes. Pattern Recognit. Lett. 16(10): 1069-1078 (1995) - [c10]Marcello Pelillo:
Clique Finding Relaxation Labeling Networks. ACCV 1995: 343-352 - [c9]Marcello Pelillo, Anna Maria Fanelli:
An asymmetric associative memory model based on relaxation labeling processes. ESANN 1995 - [c8]Marcello Pelillo, Fabio Abbattista, Angelo Maffione:
Teaching Relaxation Labeling Processes Using Genetic Algorithms. ICANNGA 1995: 57-60 - 1994
- [j1]Marcello Pelillo, Mario Refice:
Learning Compatibility Coefficients for Relaxation Labeling Processes. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 933-945 (1994) - [c7]Marcello Pelillo:
Nonlinear relaxation labeling as growth transformation. ICPR (2) 1994: 201-206 - 1993
- [c6]Marcello Pelillo, Fabio Abbattista, Angelo Maffione:
Evolutionary Learning for Relaxation Labeling Processes. AI*IA 1993: 230-241 - [c5]Marcello Pelillo, Anna Maria Fanelli:
A Method of Pruning Layered Feed-Forward Neural Networks. IWANN 1993: 278-283 - 1992
- [c4]Marcello Pelillo, Mario Refice:
An optimization algorithm for determining the compatibility coefficients of relaxation labeling processes. ICPR (2) 1992: 145-148 - [c3]Marcello Pelillo, Mario Refice:
Learning compatibility coefficients for word-class disambiguation relaxation processes. ICSLP 1992: 389-392 - [c2]Marcello Pelillo, Franca Moro, Mario Refice:
Probabilistic prediction of parts-of-speech from word spelling using decision trees. ICSLP 1992: 1343-1346 - 1991
- [c1]Marcello Pelillo, Mario Refice:
Syntactic category disambiguation through relaxation processes. EUROSPEECH 1991: 757-760
Coauthor Index
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