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2020 – today
- 2023
[c45]Rayyan Ahmad Khan, Martin Kleinsteuber:
Barlow Graph Auto-Encoder for Unsupervised Network Embedding. AISTATS 2023: 306-322- 2022
- [c44]Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber:
On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. MCFR@MM 2022: 3-10 - [c43]Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber:
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. ACM Multimedia 2022: 4645-4654 - [c42]Rayyan Ahmad Khan
, Martin Kleinsteuber:
Cluster-Aware Heterogeneous Information Network Embedding. WSDM 2022: 476-486 - [i27]Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber:
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR abs/2204.11848 (2022) - 2021
- [j29]Hans Weytjens, Enrico Lohmann, Martin Kleinsteuber:
Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. Electron. Commer. Res. 21(2): 371-391 (2021) - [c41]Muhammad Umer Anwaar, Rayyan Ahmad Khan, Zhihui Pan, Martin Kleinsteuber:
A Contrastive Learning Approach for Compositional Zero-Shot Learning. ICMI 2021: 34-42 - [c40]Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han, Martin Kleinsteuber:
Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection. ECML/PKDD (2) 2021: 19-35 - [c39]Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber:
Compositional Learning of Image-Text Query for Image Retrieval. WACV 2021: 1139-1148 - [i26]Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber:
Variational Embeddings for Community Detection and Node Representation. CoRR abs/2101.03885 (2021) - [i25]Rayyan Ahmad Khan, Martin Kleinsteuber:
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. CoRR abs/2108.03953 (2021) - [i24]Rayyan Ahmad Khan, Martin Kleinsteuber:
Barlow Graph Auto-Encoder for Unsupervised Network Embedding. CoRR abs/2110.15742 (2021) - 2020
- [j28]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. IEEE Trans. Pattern Anal. Mach. Intell. 42(12): 3119-3135 (2020) - [j27]Dietrich Kammer, Mandy Keck, Thomas Gründer, Alexander Maasch, Thomas Thom, Martin Kleinsteuber, Rainer Groh:
Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. 26(4): 1661-1671 (2020) - [c38]Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber:
Epitomic Variational Graph Autoencoder. ICPR 2020: 7203-7210 - [c37]Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber:
Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. ECML/PKDD (5) 2020: 257-272 - [i23]Rayyan Ahmad Khan, Martin Kleinsteuber:
Epitomic Variational Graph Autoencoder. CoRR abs/2004.01468 (2020) - [i22]Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber:
Compositional Learning of Image-Text Query for Image Retrieval. CoRR abs/2006.11149 (2020) - [i21]Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber:
Metapath- and Entity-aware Graph Neural Network for Recommendation. CoRR abs/2010.11793 (2020)
2010 – 2019
- 2019
- [j26]Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey:
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30(1): 175-189 (2019) - [i20]Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber:
Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. CoRR abs/1907.10409 (2019) - 2018
- [j25]Muriel Lang, Martin Kleinsteuber, Sandra Hirche:
Gaussian process for 6-DoF rigid motions. Auton. Robots 42(6): 1151-1167 (2018) - [j24]Alexander Sagel, Martin Kleinsteuber:
Alignment Distances on Systems of Bags. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2551-2561 (2018) - [j23]Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. IEEE Trans. Image Process. 27(4): 1994-2007 (2018) - [i19]Rayyan Ahmad Khan, Rana Ali Amjad, Martin Kleinsteuber:
Clustering with Simultaneous Local and Global View of Data: A message passing based approach. CoRR abs/1803.04459 (2018) - [i18]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. CoRR abs/1810.03523 (2018) - 2017
- [j22]Jyotirmoy Karjee, Martin Kleinsteuber:
Data estimation with predictive switching mechanism in wireless sensor networks. Int. J. Sens. Networks 25(3): 184-197 (2017) - [j21]Xian Wei, Yuanxiang Li, Hao Shen, Fang Chen, Martin Kleinsteuber, Zhongfeng Wang:
Dynamical Textures Modeling via Joint Video Dictionary Learning. IEEE Trans. Image Process. 26(6): 2929-2943 (2017) - [c36]Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer:
A RGB/NIR Data Set For Evaluating Dehazing Algorithms. IQSP 2017: 79-87 - [c35]Simon Bremer, Alan Schelten, Enrico Lohmann, Martin Kleinsteuber:
A Framework for Training Hybrid Recommender Systems. RecSysKTL 2017: 30-37 - [c34]Mandy Keck, Dietrich Kammer, Thomas Gründer, Thomas Thom, Martin Kleinsteuber, Alexander Maasch, Rainer Groh:
Towards Glyph-based visualizations for big data clustering. VINCI 2017: 129-136 - [i17]Alexander Sagel, Martin Kleinsteuber:
Alignment Distances on Systems of Bags. CoRR abs/1706.04388 (2017) - [i16]Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber:
Model-based learning of local image features for unsupervised texture segmentation. CoRR abs/1708.00180 (2017) - 2016
- [j20]Hiroyuki Kasai, Wolfgang Kellerer, Martin Kleinsteuber:
Network Volume Anomaly Detection and Identification in Large-Scale Networks Based on Online Time-Structured Traffic Tensor Tracking. IEEE Trans. Netw. Serv. Manag. 13(3): 636-650 (2016) - [j19]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. 64(1): 120-130 (2016) - [c33]Xian Wei, Hao Shen, Martin Kleinsteuber:
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. CVPR 2016: 5268-5277 - [c32]Maximilian Durner, Zoltan Csaba Marton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber:
Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. ICMV 2016: 103411I - [c31]Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey:
Joint learning dictionary and discriminative features for high dimensional data. ICPR 2016: 366-371 - [c30]Jonathan Ah Sue, Ralph Hasholzner, Johannes Brendel, Martin Kleinsteuber, Jürgen Teich:
A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction. FAS*W@SASO/ICCAC 2016: 269-270 - [i15]Hiroyuki Kasai, Wolfgang Kellerer, Martin Kleinsteuber:
Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking. CoRR abs/1608.05493 (2016) - 2015
- [j18]Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber:
A Bimodal Co-sparse Analysis Model for Image Processing. Int. J. Comput. Vis. 114(2-3): 233-247 (2015) - [j17]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert:
Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Trans. Inf. Theory 61(6): 3469-3486 (2015) - [c29]Robert Specht, Johann Heyszl, Martin Kleinsteuber, Georg Sigl:
Improving Non-profiled Attacks on Exponentiations Based on Clustering and Extracting Leakage from Multi-channel High-Resolution EM Measurements. COSADE 2015: 3-19 - [c28]Muriel Lang, Martin Kleinsteuber, Oliver Dunkley, Sandra Hirche:
Gaussian process dynamical models over dual quaternions. ECC 2015: 2847-2852 - [c27]Martin Kleinsteuber, Hao Shen:
Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. GSI 2015: 476-483 - [c26]Xian Wei, Martin Kleinsteuber, Hao Shen:
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. LVA/ICA 2015: 279-286 - [c25]Clemens Hage, Martin Kleinsteuber:
Robust Structured Low-Rank Approximation on the Grassmannian. LVA/ICA 2015: 295-303 - [c24]Hao Shen, Martin Kleinsteuber:
A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. LVA/ICA 2015: 320-327 - [c23]Justus Jordan, Christian Ruhhammer, Horst Kloeden, Martin Kleinsteuber:
Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data. ITSC 2015: 547-552 - [i14]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators with Separable Structures. CoRR abs/1503.02398 (2015) - 2014
- [j16]Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou:
Sparse matrices in data analysis. Comput. Stat. 29(3): 403-405 (2014) - [j15]Clemens Hage, Martin Kleinsteuber:
Robust PCA and subspace tracking from incomplete observations using (ℓ0)-surrogates. Comput. Stat. 29(3): 467-487 (2014) - [j14]Florian Seidel, Clemens Hage, Martin Kleinsteuber:
pROST: a smoothed ℓp-norm robust online subspace tracking method for background subtraction in video. Mach. Vis. Appl. 25(5): 1227-1240 (2014) - [j13]Gilles Chabriel, Martin Kleinsteuber, Eric Moreau, Hao Shen, Petr Tichavský, Arie Yeredor:
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications. IEEE Signal Process. Mag. 31(3): 34-43 (2014) - [c22]Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers:
Co-Sparse Textural Similarity for Interactive Segmentation. ECCV (6) 2014: 285-301 - [c21]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable cosparse Analysis Operator learning. EUSIPCO 2014: 770-774 - [c20]Xian Wei, Hao Shen, Martin Kleinsteuber:
An adaptive dictionary learning approach for modeling dynamical textures. ICASSP 2014: 3567-3571 - [c19]Lisa Abele, Stephan Grimm, Sonja Zillner, Martin Kleinsteuber:
An ontology-based approach for decentralized monitoring and diagnostics. INDIN 2014: 706-712 - [c18]Justus Jordan, Nils Hirsenkorn, Felix Klanner, Martin Kleinsteuber:
Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter. ITSC 2014: 2041-2046 - [c17]Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach:
On the sample complexity of sparse dictionary learning. SSP 2014: 244-247 - [i13]Clemens Hage, Tim Habigt, Martin Kleinsteuber:
Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics. CoRR abs/1403.1501 (2014) - [i12]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable Cosparse Analysis Operator Learning. CoRR abs/1406.1621 (2014) - [i11]Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber:
A Bimodal Co-Sparse Analysis Model for Image Processing. CoRR abs/1406.6538 (2014) - 2013
- [j12]Knut Hüper, Martin Kleinsteuber, Hao Shen:
Averaging complex subspaces via a Karcher mean approach. Signal Process. 93(2): 459-467 (2013) - [j11]Julian Wörmann, Simon Hawe, Martin Kleinsteuber:
Analysis Based Blind Compressive Sensing. IEEE Signal Process. Lett. 20(5): 491-494 (2013) - [j10]Simon Hawe, Martin Kleinsteuber, Klaus Diepold:
Analysis Operator Learning and its Application to Image Reconstruction. IEEE Trans. Image Process. 22(6): 2138-2150 (2013) - [j9]Martin Kleinsteuber, Hao Shen:
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. IEEE Trans. Signal Process. 61(7): 1786-1796 (2013) - [c16]Simon Hawe, Matthias Seibert, Martin Kleinsteuber:
Separable Dictionary Learning. CVPR 2013: 438-445 - [c15]Martin Kleinsteuber, Hao Shen:
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. GSI 2013: 353-360 - [c14]Martin Kiechle, Simon Hawe, Martin Kleinsteuber:
A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. ICCV 2013: 1545-1552 - [c13]Lisa Abele, Thorbjørn Hansen, Martin Kleinsteuber:
A Knowledge Engineering Methodology for Resource Monitoring in the Industrial Domain. MIM 2013: 307-312 - [c12]Lisa Abele, Maja Anic, Tim Gutmann, Jens Folmer, Martin Kleinsteuber, Birgit Vogel-Heuser:
Combining Knowledge Modeling and Machine Learning for Alarm Root Cause Analysis. MIM 2013: 1843-1848 - [c11]Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval:
A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP 2013: 1-5 - [i10]Julian Wörmann, Simon Hawe, Martin Kleinsteuber:
Analysis Based Blind Compressive Sensing. CoRR abs/1302.1094 (2013) - [i9]Florian Seidel, Clemens Hage, Martin Kleinsteuber:
pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video. CoRR abs/1302.2073 (2013) - [i8]Simon Hawe, Matthias Seibert, Martin Kleinsteuber:
Separable Dictionary Learning. CoRR abs/1303.5244 (2013) - [i7]Martin Kiechle, Simon Hawe, Martin Kleinsteuber:
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution. CoRR abs/1304.5319 (2013) - [i6]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert:
Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR abs/1312.3790 (2013) - [i5]Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe, Martin Kleinsteuber:
Co-Sparse Textural Similarity for Image Segmentation. CoRR abs/1312.4746 (2013) - [i4]Xian Wei, Hao Shen, Martin Kleinsteuber:
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures. CoRR abs/1312.5568 (2013) - 2012
- [j8]Hao Shen, Martin Kleinsteuber:
Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. EURASIP J. Adv. Signal Process. 2012: 241 (2012) - [j7]Martin Kleinsteuber, Hao Shen:
Blind Source Separation With Compressively Sensed Linear Mixtures. IEEE Signal Process. Lett. 19(2): 107-110 (2012) - [c10]Hao Shen, Martin Kleinsteuber:
A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. LVA/ICA 2012: 66-73 - [c9]Hao Shen, Martin Kleinsteuber:
Algebraic Solutions to Complex Blind Source Separation. LVA/ICA 2012: 74-81 - [c8]Simon Hawe, Martin Kleinsteuber, Klaus Diepold:
Cartoon-like image reconstruction via constrained ℓp-minimization. ICASSP 2012: 717-720 - [c7]Martin Kleinsteuber, Simon Hawe:
Tracking Solutions of Time Varying Linear Inverse Problems. ICPRAM (1) 2012: 253-257 - [i3]Simon Hawe, Martin Kleinsteuber, Klaus Diepold:
Analysis Operator Learning and Its Application to Image Reconstruction. CoRR abs/1204.5309 (2012) - 2011
- [c6]Lisa Abele, Martin Kleinsteuber, Thorbjørn Hansen:
Resource monitoring in industrial production with knowledge-based models and rules. PIKM@CIKM 2011: 35-42 - [c5]Stephan da Costa Ribeiro, Martin Kleinsteuber, Andreas Möller, Matthias Kranz:
A Compressive Sensing Scheme of Frequency Sparse Signals for Mobile and Wearable Platforms. EUROCAST (2) 2011: 510-518 - [c4]Simon Hawe, Martin Kleinsteuber, Klaus Diepold:
Dense disparity maps from sparse disparity measurements. ICCV 2011: 2126-2133 - [i2]Martin Kleinsteuber, Hao Shen:
Blind Source Separation with Compressively Sensed Linear Mixtures. CoRR abs/1110.2593 (2011) - [i1]Martin Kleinsteuber, Hao Shen:
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization. CoRR abs/1111.7088 (2011) - 2010
- [j6]Uwe Helmke, Martin Kleinsteuber:
A differential equation for diagonalizing complex semisimple Lie algebra elements. Syst. Control. Lett. 59(1): 72-78 (2010) - [c3]Hao Shen, Martin Kleinsteuber:
Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. LVA/ICA 2010: 287-294
2000 – 2009
- 2008
- [j5]Knut Hüper, Martin Kleinsteuber, Fatima Silva Leite:
Rolling Stiefel manifolds. Int. J. Syst. Sci. 39(9): 881-887 (2008) - [j4]Hao Shen, Martin Kleinsteuber, Knut Hüper:
Local Convergence Analysis of FastICA and Related Algorithms. IEEE Trans. Neural Networks 19(6): 1022-1032 (2008) - [j3]Martin Kleinsteuber, Abd-Krim Seghouane:
On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays. IEEE Trans. Signal Process. 56(2): 860-864 (2008) - 2007
- [c2]Hao Shen, Martin Kleinsteuber, Knut Hüper:
Efficient geometric methods for kernel density estimation based Independent Component Analysis. EUSIPCO 2007: 1711-1715 - [c1]Martin Kleinsteuber, Knut Hüper:
An Intrinsic CG Algorithm for Computing Dominant Subspaces. ICASSP (4) 2007: 1405-1408 - 2006
- [j2]Gunther Dirr, Uwe Helmke, Knut Hüper, Martin Kleinsteuber, Y. Liu:
Spin Dynamics: A Paradigm for Time Optimal Control on Compact Lie Groups. J. Glob. Optim. 35(3): 443-474 (2006) - 2004
- [j1]Martin Kleinsteuber, Uwe Helmke, Knut Hüper:
Jacobi's Algorithm on Compact Lie Algebras. SIAM J. Matrix Anal. Appl. 26(1): 42-69 (2004)
Coauthor Index
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