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2020 – today
- 2024
[j34]Momojit Biswas
, Himanshu Buckchash, Dilip K. Prasad:
pNNCLR: Stochastic pseudo neighborhoods for contrastive learning based unsupervised representation learning problems. Neurocomputing 593: 127810 (2024)- [j33]Pragyan Banerjee, Shivam Milind Akarte, Prakhar Kumar, Muhammad Shamsuzzaman, Ankit Butola, Krishna Agarwal, Dilip K. Prasad, Frank Melandsø, Anowarul Habib:
High-resolution imaging in acoustic microscopy using deep learning. Mach. Learn. Sci. Technol. 5(1): 15007 (2024) - [c31]Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta:
Partial Binarization of Neural Networks for Budget-Aware Efficient Learning. WACV 2024: 2325-2334 - [i31]Rohit Agarwal, Arijit Das, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis. CoRR abs/2404.04903 (2024) - [i30]Ronny Paul, Himanshu Buckchash, Shantipriya Parida, Dilip K. Prasad:
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language. CoRR abs/2405.05777 (2024) - [i29]Himanshu Buckchash, Momojit Biswas, Rohit Agarwal, Dilip K. Prasad:
Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs. CoRR abs/2409.10242 (2024) - 2023
- [b2]Ayush Somani, Alexander Horsch, Dilip K. Prasad:
Interpretability in Deep Learning. Springer 2023, ISBN 978-3-031-20638-2, pp. 1-466 - [j32]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. Trans. Mach. Learn. Res. 2023 (2023) - [c30]Nirwan Banerjee, Samir Malakar, Deepak Kumar Gupta, Alexander Horsch, Dilip K. Prasad:
Guided U-Net Aided Efficient Image Data Storing with Shape Preservation. ACPR (1) 2023: 317-330 - [c29]Ayush Somani, Pragyan Banerjee, Krishna Agarwal, Manu Rastogi, Dilip K. Prasad, Anowarul Habib:
Image Inpainting with Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy. CVPR Workshops 2023: 3113-3122 - [c28]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
Mabnet: Master Assistant Buddy Network With Hybrid Learning for Image Retrieval. ICASSP 2023: 1-5 - [c27]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On Designing Light-Weight Object Trackers Through Network Pruning: Use CNNS or Transformers? ICASSP 2023: 1-5 - [c26]Rishabh Tiwari, Arnav Chavan, Deepak K. Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535 - [i28]Deepak K. Gupta, Gowreesh Mago, Arnav Chavan, Dilip K. Prasad:
Patch Gradient Descent: Training Neural Networks on Very Large Images. CoRR abs/2301.13817 (2023) - [i27]Abhinanda R. Punnakkal, Suyog S. Jadhav, Alexander Horsch, Krishna Agarwal, Dilip K. Prasad:
MiShape: 3D Shape Modelling of Mitochondria in Microscopy. CoRR abs/2303.01546 (2023) - [i26]Animesh Gupta, Irtiza Hasan, Dilip K. Prasad, Deepak K. Gupta:
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability Perspective. CoRR abs/2303.02095 (2023) - [i25]Rohit Agarwal, Gyanendra Das, Saksham Aggarwal, Alexander Horsch, Dilip K. Prasad:
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval. CoRR abs/2303.03050 (2023) - [i24]Rohit Agarwal, Deepak K. Gupta, Alexander Horsch, Dilip K. Prasad:
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts. CoRR abs/2303.05155 (2023) - [i23]Ayush Singh, Yash Bhambhu, Himanshu Buckchash, Deepak K. Gupta, Dilip K. Prasad:
Latent Graph Attention for Enhanced Spatial Context. CoRR abs/2307.04149 (2023) - [i22]Momojit Biswas, Himanshu Buckchash, Dilip K. Prasad:
pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems. CoRR abs/2308.06983 (2023) - [i21]Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez:
Modelling Irregularly Sampled Time Series Without Imputation. CoRR abs/2309.08698 (2023) - [i20]Iqra Qasim, Alexander Horsch, Dilip K. Prasad:
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols. CoRR abs/2311.02538 (2023) - 2022
- [j31]Xie Chen, Deepu Rajan, Dilip K. Prasad, Chai Quek:
An embedded deep fuzzy association model for learning and explanation. Appl. Soft Comput. 131: 109738 (2022) - [j30]Ratnabali Pal, Arif Ahmed Sekh, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Topic-based Video Analysis: A Survey. ACM Comput. Surv. 54(6): 118:1-118:34 (2022) - [j29]Jeow Li Huan, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
Emotionally charged text classification with deep learning and sentiment semantic. Neural Comput. Appl. 34(3): 2341-2351 (2022) - [j28]Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-Guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. IEEE Trans. Computational Imaging 8: 236-245 (2022) - [c25]S. Chattopadhyay, A. Malachowski, J. K. Swain, R. A. Dalmo, Alexander Horsch, Dilip K. Prasad:
Mapping Functional Changes in the Embryonic Heart of Atlantic Salmon Post Viral Infection Using AI Technique. ICIP 2022: 3101-3105 - [c24]Rohit Agarwal, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad:
Auxiliary Network: Scalable and Agile Online Learning for Dynamic System with Inconsistently Available Inputs. ICONIP (1) 2022: 549-561 - [c23]Huixu Dong, Jiadong Zhou, Chen Qiu, Dilip K. Prasad, I-Ming Chen:
Learning-based Ellipse Detection for Robotic Grasps of Cylinders and Ellipsoids. ICRA 2022: 1527-1532 - [c22]Divij Singh, Ayush Somani, Alexander Horsch, Dilip K. Prasad:
Counterfactual Explainable Gastrointestinal and Colonoscopy Image Segmentation. ISBI 2022: 1-5 - [i19]Deepak K. Gupta, Udbhav Bamba, Abhishek Thakur, Akash Gupta, Suraj Sharan, Ertugrul Demir, Dilip K. Prasad:
UltraMNIST Classification: A Benchmark to Train CNNs for Very Large Images. CoRR abs/2206.12681 (2022) - [i18]Udbhav Bamba, Neeraj Anand, Dilip K. Prasad, Deepak K. Gupta:
MixBin: Towards Budgeted Binarization. CoRR abs/2211.06739 (2022) - [i17]Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu, Arnav Chavan, Rishabh Tiwari, Dilip K. Prasad, Deepak K. Gupta:
On designing light-weight object trackers through network pruning: Use CNNs or transformers? CoRR abs/2211.13769 (2022) - 2021
- [j27]Soham Chattopadhyay, Laila Zary, Chai Quek, Dilip K. Prasad:
Motivation detection using EEG signal analysis by residual-in-residual convolutional neural network. Expert Syst. Appl. 184: 115548 (2021) - [j26]Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Physics-based machine learning for subcellular segmentation in living cells. Nat. Mach. Intell. 3(12): 1071-1080 (2021) - [j25]Feng Liu, Arif Ahmed Sekh, Chai Quek, Geok See Ng, Dilip K. Prasad:
RS-HeRR: a rough set-based Hebbian rule reduction neuro-fuzzy system. Neural Comput. Appl. 33(4): 1123-1137 (2021) - [j24]Seow Wen Jun, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
seMLP: Self-evolving Multi-layer Perceptron in Stock Trading Decision Making. SN Comput. Sci. 2(2): 111 (2021) - [j23]Huixu Dong, Dilip K. Prasad, I-Ming Chen:
Object Pose Estimation via Pruned Hough Forest With Combined Split Schemes for Robotic Grasp. IEEE Trans Autom. Sci. Eng. 18(4): 1814-1821 (2021) - [c21]Ayush Somani, Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad, Alexander Horsch:
Digital Staining of Mitochondria in Label-free Live-cell Microscopy. Bildverarbeitung für die Medizin 2021: 235-240 - [i16]Zicheng Liu, Mayank Roy, Dilip K. Prasad, Krishna Agarwal:
Physics-guided Loss Functions Improve Deep Learning Performance in Inverse Scattering. CoRR abs/2111.09109 (2021) - 2020
- [j22]Somdip Dey, Amit Kumar Singh, Dilip Kumar Prasad, Klaus D. McDonald-Maier:
IRON-MAN: An Approach to Perform Temporal Motionless Analysis of Video Using CNN in MPSoC. IEEE Access 8: 137101-137115 (2020) - [j21]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. Cogn. Syst. Res. 63: 30-41 (2020) - [j20]Mohammad Ashrafi, Dilip K. Prasad, Chai Quek:
IT2-GSETSK: An evolving interval Type-II TSK fuzzy neural system for online modeling of noisy data. Neurocomputing 407: 1-11 (2020) - [j19]Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Can we automate diagrammatic reasoning? Pattern Recognit. 106: 107412 (2020) - [j18]Dilip K. Prasad, Huixu Dong, Deepu Rajan, Chai Quek:
Are Object Detection Assessment Criteria Ready for Maritime Computer Vision? IEEE Trans. Intell. Transp. Syst. 21(12): 5295-5304 (2020) - [c20]Somdip Dey, Amit Kumar Singh, Dilip Kumar Prasad, Klaus D. McDonald-Maier:
Temporal Motionless Analysis of Video using CNN in MPSoC. ASAP 2020: 73-76 - [c19]Arif Ahmed Sekh, Ida Sundvor Opstad, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Learning Nanoscale Motion Patterns of Vesicles in Living Cells. CVPR 2020: 14011-14020 - [c18]Ayush Singh, Ajay Bhave, Dilip K. Prasad:
Single Image Dehazing for a Variety of Haze Scenarios Using Back Projected Pyramid Network. ECCV Workshops (4) 2020: 166-181 - [c17]Quah En Zhe, Arif Ahmed Sekh, Chai Quek, Dilip K. Prasad:
Recurrent Self-evolving Takagi-Sugeno-Kan Fuzzy Neural Network (RST-FNN) Based Type-2 Diabetic Modeling. IFIP TC12 ICIS 2020: 125-136 - [c16]Sheng Wei Pang, Chai Quek, Dilip K. Prasad:
GEMM-eMFIS (FRI/E): A Novel General Episodic Memory Mechanism For Fuzzy Neural Networks. IJCNN 2020: 1-8 - [i15]Ratnabali Pal, Arif Ahmed Sekh, Samarjit Kar, Dilip K. Prasad:
Neural network based country wise risk prediction of COVID-19. CoRR abs/2004.00959 (2020) - [i14]Ayush Singh, Ajay Bhave, Dilip K. Prasad:
Single image dehazing for a variety of haze scenarios using back projected pyramid network. CoRR abs/2008.06713 (2020) - [i13]Rohit Agarwal, Arif Ahmed Sekh, Krishna Agarwal, Dilip K. Prasad:
Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs. CoRR abs/2008.11828 (2020) - [i12]Arif Ahmed Sekh, Ida Sundvor Opstad, Rohit Agarwal, Åsa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad:
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells. CoRR abs/2008.12617 (2020)
2010 – 2019
- 2019
- [j17]Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus Dieter McDonald-Maier:
SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology. IEEE Access 7: 157158-157172 (2019) - [j16]Kajal Kansal, A. Venkata Subramanyam, Dilip K. Prasad, Mohan S. Kankanhalli:
CARF-Net: CNN attention and RNN fusion network for video-based person reidentification. J. Electronic Imaging 28(2): 023036 (2019) - [j15]Gaurav Tripathi, Habib Anowarul, Krishna Agarwal, Dilip K. Prasad:
Classification of Micro-Damage in Piezoelectric Ceramics Using Machine Learning of Ultrasound Signals. Sensors 19(19): 4216 (2019) - [j14]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Object Detection in a Maritime Environment: Performance Evaluation of Background Subtraction Methods. IEEE Trans. Intell. Transp. Syst. 20(5): 1787-1802 (2019) - [j13]Huixu Dong, Ehsan Asadi, Guangbin Sun, Dilip K. Prasad, I-Ming Chen:
Real-Time Robotic Manipulation of Cylindrical Objects in Dynamic Scenarios Through Elliptic Shape Primitives. IEEE Trans. Robotics 35(1): 95-113 (2019) - [i11]Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar, Partha Pratim Roy, Dilip K. Prasad:
Can We Automate Diagrammatic Reasoning? CoRR abs/1902.04955 (2019) - [i10]Somdip Dey, Amit Kumar Singh, Dilip K. Prasad, Klaus D. McDonald-Maier:
TMAV: Temporal Motionless Analysis of Video using CNN in MPSoC. CoRR abs/1902.05657 (2019) - 2018
- [j12]Aparna Ramesh Iyer, Dilip K. Prasad, Hiok Chai Quek:
PIE-RSPOP: A brain-inspired pseudo-incremental ensemble rough set pseudo-outer product fuzzy neural network. Expert Syst. Appl. 95: 172-189 (2018) - [j11]Dilip K. Prasad, Shijie Liu, Shen-Hsing Annabel Chen, Chai Quek:
Sentiment analysis using EEG activities for suicidology. Expert Syst. Appl. 103: 206-217 (2018) - [j10]Huixu Dong, Dilip K. Prasad, I-Ming Chen:
Accurate detection of ellipses with false detection control at video rates using a gradient analysis. Pattern Recognit. 81: 112-130 (2018) - [j9]Huixu Dong, Guangbin Sun, Wee Ching Pang, Ehsan Asadi, Dilip K. Prasad, I-Ming Chen:
Fast Ellipse Detection via Gradient Information for Robotic Manipulation of Cylindrical Objects. IEEE Robotics Autom. Lett. 3(4): 2754-2761 (2018) - [c15]Huixu Dong, Dilip K. Prasad, Qilong Yuan, Jiadong Zhou, Ehsan Asadi, I-Ming Chen:
Efficient Pose Estimation from Single RGB-D Image via Hough Forest with Auto-Context. IROS 2018: 7201-7206 - [i9]Dilip K. Prasad, Deepu Rajan, Chai Quek:
Are object detection assessment criteria ready for maritime computer vision? CoRR abs/1809.04659 (2018) - [i8]Huixu Dong, Chen Qiu, Dilip K. Prasad, Ye Pan, Jiansheng Dai, I-Ming Chen:
Enabling Grasp Action: Generalized Evaluation of Grasp Stability via Contact Stiffness from Contact Mechanics Insight. CoRR abs/1810.08317 (2018) - [i7]Mangayarkarasi Ramaiah, Dilip K. Prasad:
Polygonal approximation of digital planar curve using novel significant measure. CoRR abs/1812.09271 (2018) - 2017
- [j8]Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey. IEEE Trans. Intell. Transp. Syst. 18(8): 1993-2016 (2017) - [c14]Huixu Dong, I-Ming Chen, Dilip K. Prasad:
Robust Ellipse Detection via Duality Principle with a False Determination Control. CVIP (2) 2017: 223-234 - [c13]Huixu Dong, I-Ming Chen, Dilip K. Prasad:
Robust ellipse detection via arc segmentation and classification. ICIP 2017: 66-70 - [i6]Dilip K. Prasad, Deepu Rajan, Chandrashekar Krishna Prasath, Lily Rachmawati, Eshan Rajabally, Chai Quek:
MSCM-LiFe: Multi-scale cross modal linear feature for horizon detection in maritime images. CoRR abs/1701.08378 (2017) - [i5]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Maritime situational awareness using adaptive multi-sensor management under hazy conditions. CoRR abs/1702.00754 (2017) - 2016
- [j7]Dwarikanath Mahapatra, Krishna Agarwal, Reza Khosrowabadi, Dilip K. Prasad:
Recent Advances in Statistical Data and Signal Analysis: Application to Real World Diagnostics from Medical and Biological Signals. Comput. Math. Methods Medicine 2016: 1643687:1 (2016) - [j6]Dilip K. Prasad, Krishna Agarwal:
Classification of Hyperspectral or Trichromatic Measurements of Ocean Color Data into Spectral Classes. Sensors 16(3): 413 (2016) - [c12]Dilip K. Prasad:
Strategies for Resolving Camera Metamers Using 3+1 Channel. CVPR Workshops 2016: 954-962 - [i4]Dilip K. Prasad, Chandrashekar Krishna Prasath, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Challenges in video based object detection in maritime scenario using computer vision. CoRR abs/1608.01079 (2016) - [i3]Dilip K. Prasad, Deepu Rajan, Lily Rachmawati, Eshan Rajabally, Chai Quek:
Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey. CoRR abs/1611.05842 (2016) - 2015
- [j5]Ranjan Das, Dilip K. Prasad:
Prediction of porosity and thermal diffusivity in a porous fin using differential evolution algorithm. Swarm Evol. Comput. 23: 27-39 (2015) - 2014
- [j4]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Michael S. Brown:
DEB: Definite Error Bounded Tangent Estimator for Digital Curves. IEEE Trans. Image Process. 23(10): 4297-4310 (2014) - [c11]Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown:
Raw-to-Raw: Mapping between Image Sensor Color Responses. CVPR 2014: 3398-3405 - [c10]Nguyen Ho Man Rang, Dilip K. Prasad, Michael S. Brown:
Training-Based Spectral Reconstruction from a Single RGB Image. ECCV (7) 2014: 186-201 - 2013
- [j3]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek:
ElliFit: An unconstrained, non-iterative, least squares based geometric Ellipse Fitting method. Pattern Recognit. 46(5): 1449-1465 (2013) - [c9]Dilip K. Prasad, Chai Quek:
Comparison of error bounds for non-parametric dominant point detection. ICICS 2013: 1-5 - [c8]Dilip K. Prasad, Rang Ho Man Nguyen, Michael S. Brown:
Quick Approximation of Camera's Spectral Response from Casual Lighting. ICCV Workshops 2013: 844-851 - [i2]Dilip K. Prasad:
Object Detection in Real Images. CoRR abs/1302.5189 (2013) - [i1]Dilip K. Prasad:
Geometric primitive feature extraction - concepts, algorithms, and applications. CoRR abs/1305.3885 (2013) - 2012
- [b1]Dilip K. Prasad:
Geometric primitive feature extraction : concepts, algorithms and applications. Nanyang Technological University, Singapore, 2012 - [j2]Dilip K. Prasad, Maylor K. H. Leung, Chai Quek, Siu-Yeung Cho:
A novel framework for making dominant point detection methods non-parametric. Image Vis. Comput. 30(11): 843-859 (2012) - [j1]Dilip K. Prasad, Maylor K. H. Leung, Siu-Yeung Cho:
Edge curvature and convexity based ellipse detection method. Pattern Recognit. 45(9): 3204-3221 (2012) - [c7]Dilip K. Prasad, Chai Quek, Maylor K. H. Leung:
A Precise Ellipse Fitting Method for Noisy Data. ICIAR (1) 2012: 253-260 - [c6]Dilip K. Prasad, Chai Quek, Maylor K. H. Leung:
A Non-heuristic Dominant Point Detection Based on Suppression of Break Points. ICIAR (1) 2012: 269-276 - 2011
- [c5]Dilip K. Prasad:
Adaptive traffic signal control system with cloud computing based online learning. ICICS 2011: 1-5 - [c4]Dilip K. Prasad, Hiok Chai Quek, Maylor Karhang Leung, Siu-Yeung Cho:
A parameter independent line fitting method. ACPR 2011: 441-445 - [c3]Dilip K. Prasad, Raj Kumar Gupta, Maylor K. H. Leung:
An Error Bounded Tangent Estimator for Digitized Elliptic Curves. DGCI 2011: 272-283 - 2010
- [c2]Dilip K. Prasad, Maylor K. H. Leung:
A hybrid approach for ellipse detection in real images. ICDIP 2010: 75460I - [c1]Dilip K. Prasad, Maylor K. H. Leung:
Reliability / precision uncertainity in shape fitting problems. ICIP 2010: 4277-4280
Coauthor Index
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