Jacobi's Algorithm on Compact Lie Algebras. - Martin Kleinsteuber; Uwe Helmke; Knut Hüper (SIAM J. Matrix Anal. Appl., 2004)

Spin Dynamics: A Paradigm for Time Optimal Control on Compact Lie Groups. - Gunther Dirr; Uwe Helmke; Knut Hüper; Martin Kleinsteuber; Y. Liu (J. Glob. Optim., 2006)

Efficient geometric methods for kernel density estimation based Independent Component Analysis. - Hao Shen 002; Martin Kleinsteuber; Knut Hüper (EUSIPCO, 2007)

An Intrinsic CG Algorithm for Computing Dominant Subspaces. - Martin Kleinsteuber; Knut Hüper (ICASSP (4), 2007)

Rolling Stiefel manifolds. - Knut Hüper; Martin Kleinsteuber; Fatima Silva Leite (Int. J. Syst. Sci., 2008)

Local Convergence Analysis of FastICA and Related Algorithms. - Hao Shen 002; Martin Kleinsteuber; Knut Hüper (IEEE Trans. Neural Networks, 2008)

On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays. - Martin Kleinsteuber; Abd-Krim Seghouane (IEEE Trans. Signal Process., 2008)

Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2010)

A differential equation for diagonalizing complex semisimple Lie algebra elements. - Uwe Helmke; Martin Kleinsteuber (Syst. Control. Lett., 2010)

Resource monitoring in industrial production with knowledge-based models and rules. - Lisa Abele; Martin Kleinsteuber; Thorbjørn Hansen (PIKM@CIKM, 2011)

A Compressive Sensing Scheme of Frequency Sparse Signals for Mobile and Wearable Platforms. - Stephan da Costa Ribeiro; Martin Kleinsteuber; Andreas Möller; Matthias Kranz (EUROCAST (2), 2011)

Dense disparity maps from sparse disparity measurements. - Simon Hawe; Martin Kleinsteuber; Klaus Diepold (ICCV, 2011)

Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization - Martin Kleinsteuber; Hao Shen 002 (CoRR, 2011)

A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2012)

Algebraic Solutions to Complex Blind Source Separation. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2012)

Cartoon-like image reconstruction via constrained ℓp-minimization. - Simon Hawe; Martin Kleinsteuber; Klaus Diepold (ICASSP, 2012)

Tracking Solutions of Time Varying Linear Inverse Problems. - Martin Kleinsteuber; Simon Hawe (ICPRAM (1), 2012)

Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. - Hao Shen 002; Martin Kleinsteuber (EURASIP J. Adv. Signal Process., 2012)

Blind Source Separation With Compressively Sensed Linear Mixtures. - Martin Kleinsteuber; Hao Shen 002 (IEEE Signal Process. Lett., 2012)

Separable Dictionary Learning. - Simon Hawe; Matthias Seibert; Martin Kleinsteuber (CVPR, 2013)

A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. - Martin Kleinsteuber; Hao Shen 002 (GSI, 2013)

A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. - Martin Kiechle; Simon Hawe; Martin Kleinsteuber (ICCV, 2013)

Combining Knowledge Modeling and Machine Learning for Alarm Root Cause Analysis. - Lisa Abele; Maja Anic; Tim Gutmann; Jens Folmer; Martin Kleinsteuber; Birgit Vogel-Heuser (MIM, 2013)

A Knowledge Engineering Methodology for Resource Monitoring in the Industrial Domain. - Lisa Abele; Thorbjørn Hansen; Martin Kleinsteuber (MIM, 2013)

A conjugate gradient algorithm for blind sensor calibration in sparse recovery. - Hao Shen 002; Martin Kleinsteuber; Cagdas Bilen; Rémi Gribonval (MLSP, 2013)

Co-Sparse Textural Similarity for Image Segmentation. - Claudia Nieuwenhuis; Daniel Cremers; Simon Hawe; Martin Kleinsteuber (CoRR, 2013)

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video - Florian Seidel; Clemens Hage; Martin Kleinsteuber (CoRR, 2013)

Averaging complex subspaces via a Karcher mean approach. - Knut Hüper; Martin Kleinsteuber; Hao Shen 002 (Signal Process., 2013)

Analysis Based Blind Compressive Sensing. - Julian Wörmann; Simon Hawe; Martin Kleinsteuber (IEEE Signal Process. Lett., 2013)

Analysis Operator Learning and its Application to Image Reconstruction. - Simon Hawe; Martin Kleinsteuber; Klaus Diepold (IEEE Trans. Image Process., 2013)

Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. - Martin Kleinsteuber; Hao Shen 002 (IEEE Trans. Signal Process., 2013)

Co-Sparse Textural Similarity for Interactive Segmentation. - Claudia Nieuwenhuis; Simon Hawe; Martin Kleinsteuber; Daniel Cremers (ECCV (6), 2014)

Separable cosparse Analysis Operator learning. - Matthias Seibert; Julian Wörmann; Rémi Gribonval; Martin Kleinsteuber (EUSIPCO, 2014)

An adaptive dictionary learning approach for modeling dynamical textures. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (ICASSP, 2014)

An ontology-based approach for decentralized monitoring and diagnostics. - Lisa Abele; Stephan Grimm; Sonja Zillner; Martin Kleinsteuber (INDIN, 2014)

Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter. - Justus Jordan; Nils Hirsenkorn; Felix Klanner; Martin Kleinsteuber (ITSC, 2014)

On the sample complexity of sparse dictionary learning. - Matthias Seibert; Martin Kleinsteuber; Rémi Gribonval; Rodolphe Jenatton; Francis R. Bach (SSP, 2014)

Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics. - Clemens Hage; Tim Habigt; Martin Kleinsteuber (CoRR, 2014)

Robust PCA and subspace tracking from incomplete observations using (ℓ0)-surrogates. - Clemens Hage; Martin Kleinsteuber (Comput. Stat., 2014)

Sparse matrices in data analysis. - Nickolay T. Trendafilov; Martin Kleinsteuber; Hui Zou (Comput. Stat., 2014)

pROST: a smoothed ℓp-norm robust online subspace tracking method for background subtraction in video. - Florian Seidel; Clemens Hage; Martin Kleinsteuber (Mach. Vis. Appl., 2014)

Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications. - Gilles Chabriel; Martin Kleinsteuber; Eric Moreau; Hao Shen 002; Petr Tichavský; Arie Yeredor (IEEE Signal Process. Mag., 2014)

Improving Non-profiled Attacks on Exponentiations Based on Clustering and Extracting Leakage from Multi-channel High-Resolution EM Measurements. - Robert Specht; Johann Heyszl; Martin Kleinsteuber; Georg Sigl (COSADE, 2015)

Gaussian process dynamical models over dual quaternions. - Muriel Lang; Martin Kleinsteuber; Oliver Dunkley; Sandra Hirche (ECC, 2015)

Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. - Martin Kleinsteuber; Hao Shen 002 (GSI, 2015)

Robust Structured Low-Rank Approximation on the Grassmannian. - Clemens Hage; Martin Kleinsteuber (LVA/ICA, 2015)

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. - Hao Shen 002; Martin Kleinsteuber (LVA/ICA, 2015)

Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. - Xian Wei; Martin Kleinsteuber; Hao Shen 002 (LVA/ICA, 2015)

Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data. - Justus Jordan; Christian Ruhhammer; Horst Kloeden; Martin Kleinsteuber (ITSC, 2015)

A Bimodal Co-sparse Analysis Model for Image Processing. - Martin Kiechle; Tim Habigt; Simon Hawe; Martin Kleinsteuber (Int. J. Comput. Vis., 2015)

Sample Complexity of Dictionary Learning and Other Matrix Factorizations. - Rémi Gribonval; Rodolphe Jenatton; Francis R. Bach; Martin Kleinsteuber; Matthias Seibert (IEEE Trans. Inf. Theory, 2015)

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (CVPR, 2016)

Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. - Maximilian Durner; Zoltan Csaba Marton; Ulrich Hillenbrand; Haider Ali; Martin Kleinsteuber (ICMV, 2016)

Joint learning dictionary and discriminative features for high dimensional data. - Xian Wei; Yuanxiang Li; Hao Shen 002; Martin Kleinsteuber; Yi Lu Murphey (ICPR, 2016)

A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction. - Jonathan Ah Sue; Ralph Hasholzner; Johannes Brendel; Martin Kleinsteuber; Jürgen Teich (FAS*W@SASO/ICCAC, 2016)

Network Volume Anomaly Detection and Identification in Large-Scale Networks Based on Online Time-Structured Traffic Tensor Tracking. - Hiroyuki Kasai; Wolfgang Kellerer; Martin Kleinsteuber (IEEE Trans. Netw. Serv. Manag., 2016)

Learning Co-Sparse Analysis Operators With Separable Structures. - Matthias Seibert; Julian Wörmann; Rémi Gribonval; Martin Kleinsteuber (IEEE Trans. Signal Process., 2016)

A RGB/NIR Data Set For Evaluating Dehazing Algorithms. - Julia Lüthen; Julian Wörmann; Martin Kleinsteuber; Johannes Steurer (IQSP, 2017)

A Framework for Training Hybrid Recommender Systems. - Simon Bremer; Alan Schelten; Enrico Lohmann; Martin Kleinsteuber (RecSysKTL, 2017)

Towards Glyph-based visualizations for big data clustering. - Mandy Keck; Dietrich Kammer; Thomas Gründer; Thomas Thom; Martin Kleinsteuber; Alexander Maasch; Rainer Groh 001 (VINCI, 2017)

Data estimation with predictive switching mechanism in wireless sensor networks. - Jyotirmoy Karjee; Martin Kleinsteuber (Int. J. Sens. Networks, 2017)

Dynamical Textures Modeling via Joint Video Dictionary Learning. - Xian Wei; Yuanxiang Li; Hao Shen 002; Fang Chen; Martin Kleinsteuber; Zhongfeng Wang 001 (IEEE Trans. Image Process., 2017)

Gaussian process for 6-DoF rigid motions. - Muriel Lang; Martin Kleinsteuber; Sandra Hirche (Auton. Robots, 2018)

Clustering with Simultaneous Local and Global View of Data: A message passing based approach. - Rayyan Ahmad Khan; Rana Ali Amjad; Martin Kleinsteuber (CoRR, 2018)

Alignment Distances on Systems of Bags. - Alexander Sagel; Martin Kleinsteuber (IEEE Trans. Circuits Syst. Video Technol., 2018)

Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. - Martin Kiechle; Martin Storath; Andreas Weinmann; Martin Kleinsteuber (IEEE Trans. Image Process., 2018)

Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. - Muhammad Umer Anwaar; Dmytro Rybalko; Martin Kleinsteuber (CoRR, 2019)

Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. - Xian Wei; Hao Shen 002; Yuanxiang Li; Xuan Tang; Fengxiang Wang; Martin Kleinsteuber; Yi Lu Murphey (IEEE Trans. Neural Networks Learn. Syst., 2019)

Epitomic Variational Graph Autoencoder. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Martin Kleinsteuber (ICPR, 2020)

Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. - Muhammad Umer Anwaar; Dmytro Rybalko; Martin Kleinsteuber (ECML/PKDD (5), 2020)

Epitomic Variational Graph Autoencoder. - Rayyan Ahmad Khan; Martin Kleinsteuber (CoRR, 2020)

Metapath- and Entity-aware Graph Neural Network for Recommendation. - Zhiwei Han; Muhammad Umer Anwaar; Shyam Arumugaswamy; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (CoRR, 2020)

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. - Xian Wei; Hao Shen 002; Martin Kleinsteuber (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction. - Dietrich Kammer; Mandy Keck; Thomas Gründer; Alexander Maasch; Thomas Thom; Martin Kleinsteuber; Rainer Groh 001 (IEEE Trans. Vis. Comput. Graph., 2020)

A Contrastive Learning Approach for Compositional Zero-Shot Learning. - Muhammad Umer Anwaar; Rayyan Ahmad Khan; Zhihui Pan; Martin Kleinsteuber (ICMI, 2021)

Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Omran Kaddah; Zhiwei Han; Martin Kleinsteuber (ECML/PKDD (2), 2021)

Compositional Learning of Image-Text Query for Image Retrieval. - Muhammad Umer Anwaar; Egor Labintcev; Martin Kleinsteuber (WACV, 2021)

Variational Embeddings for Community Detection and Node Representation. - Rayyan Ahmad Khan; Muhammad Umer Anwaar; Omran Kaddah; Martin Kleinsteuber (CoRR, 2021)

A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. - Rayyan Ahmad Khan; Martin Kleinsteuber (CoRR, 2021)

Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. - Hans Weytjens; Enrico Lohmann; Martin Kleinsteuber (Electron. Commer. Res., 2021)

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. - Muhammad Umer Anwaar; Zhiwei Han; Shyam Arumugaswamy; Rayyan Ahmad Khan; Thomas Weber 005; Tianming Qiu; Hao Shen 002; Yuanting Liu; Martin Kleinsteuber (MCFR@MM, 2022)

On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. - Muhammad Umer Anwaar; Zhihui Pan; Martin Kleinsteuber (ACM Multimedia, 2022)

Cluster-Aware Heterogeneous Information Network Embedding. - Rayyan Ahmad Khan; Martin Kleinsteuber (WSDM, 2022)

Barlow Graph Auto-Encoder for Unsupervised Network Embedding. - Rayyan Ahmad Khan; Martin Kleinsteuber (AISTATS, 2023)