Martin Kleinsteuber

101 papers A* 5A 3B 3C 3Misc 2Journal 56Unranked 29

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Barlow Graph Auto-Encoder for Unsupervised Network Embedding. AISTATS Rayyan Ahmad Khan, Martin Kleinsteuber
2022	A	`conf`	Cluster-Aware Heterogeneous Information Network Embedding. WSDM Rayyan Ahmad Khan, Martin Kleinsteuber
2022	A*	`conf`	On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. ACM Multimedia Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
2022	J	`jnl`	On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
2022	—	`conf`	On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation. MCFR@MM Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
2021	B	`conf`	A Contrastive Learning Approach for Compositional Zero-Shot Learning. ICMI Muhammad Umer Anwaar, Rayyan Ahmad Khan, Zhihui Pan, Martin Kleinsteuber
2021	J	`jnl`	A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. CoRR Rayyan Ahmad Khan, Martin Kleinsteuber
2021	J	`jnl`	Barlow Graph Auto-Encoder for Unsupervised Network Embedding. CoRR Rayyan Ahmad Khan, Martin Kleinsteuber
2021	J	`jnl`	Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. Electron. Commer. Res. Hans Weytjens, Enrico Lohmann, Martin Kleinsteuber
2021	A	`conf`	Compositional Learning of Image-Text Query for Image Retrieval. WACV Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
2021	—	`conf`	Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection. ECML/PKDD (2) Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Zhiwei Han, Martin Kleinsteuber
2021	J	`jnl`	Variational Embeddings for Community Detection and Node Representation. CoRR Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber
2020	J	`jnl`	Compositional Learning of Image-Text Query for Image Retrieval. CoRR Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
2020	B	`conf`	Epitomic Variational Graph Autoencoder. ICPR Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber
2020	J	`jnl`	Epitomic Variational Graph Autoencoder. CoRR Rayyan Ahmad Khan, Martin Kleinsteuber
2020	J	`jnl`	Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. Dietrich Kammer, Mandy Keck, Thomas Gründer, Alexander Maasch, Thomas Thom, Martin Kleinsteuber, Rainer Groh
2020	—	`conf`	Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. ECML/PKDD (5) Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
2020	J	`jnl`	Metapath- and Entity-aware Graph Neural Network for Recommendation. CoRR Zhiwei Han, Muhammad Umer Anwaar, Shyam Arumugaswamy, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
2020	J	`jnl`	Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. IEEE Trans. Pattern Anal. Mach. Intell. Xian Wei, Hao Shen, Martin Kleinsteuber
2019	J	`jnl`	Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. CoRR Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
2019	J	`jnl`	Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. Xian Wei, Hao Shen, Yuanxiang Li, Xuan Tang, Fengxiang Wang, Martin Kleinsteuber, Yi Lu Murphey
2018	J	`jnl`	Alignment Distances on Systems of Bags. IEEE Trans. Circuits Syst. Video Technol. Alexander Sagel, Martin Kleinsteuber
2018	J	`jnl`	Clustering with Simultaneous Local and Global View of Data: A message passing based approach. CoRR Rayyan Ahmad Khan, Rana Ali Amjad, Martin Kleinsteuber
2018	J	`jnl`	Gaussian process for 6-DoF rigid motions. Auton. Robots Muriel Lang, Martin Kleinsteuber, Sandra Hirche
2018	J	`jnl`	Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation. IEEE Trans. Image Process. Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
2018	J	`jnl`	Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. CoRR Xian Wei, Hao Shen, Martin Kleinsteuber
2017	—	`conf`	A Framework for Training Hybrid Recommender Systems. RecSysKTL Simon Bremer, Alan Schelten, Enrico Lohmann, Martin Kleinsteuber
2017	—	`conf`	A RGB/NIR Data Set For Evaluating Dehazing Algorithms. IQSP Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer
2017	J	`jnl`	Alignment Distances on Systems of Bags. CoRR Alexander Sagel, Martin Kleinsteuber
2017	J	`jnl`	Data estimation with predictive switching mechanism in wireless sensor networks. Int. J. Sens. Networks Jyotirmoy Karjee, Martin Kleinsteuber
2017	J	`jnl`	Dynamical Textures Modeling via Joint Video Dictionary Learning. IEEE Trans. Image Process. Xian Wei, Yuanxiang Li, Hao Shen, Fang Chen, Martin Kleinsteuber, Zhongfeng Wang
2017	J	`jnl`	Model-based learning of local image features for unsupervised texture segmentation. CoRR Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
2017	C	`conf`	Towards Glyph-based visualizations for big data clustering. VINCI Mandy Keck, Dietrich Kammer, Thomas Gründer, Thomas Thom, Martin Kleinsteuber, Alexander Maasch, Rainer Groh
2016	—	`conf`	A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction. FAS*W@SASO/ICCAC Jonathan Ah Sue, Ralph Hasholzner, Johannes Brendel, Martin Kleinsteuber, Jürgen Teich
2016	C	`conf`	Active classifier selection for RGB-D object categorization using a Markov random field ensemble method. ICMV Maximilian Durner, Zoltan Csaba Marton, Ulrich Hillenbrand, Haider Ali, Martin Kleinsteuber
2016	B	`conf`	Joint learning dictionary and discriminative features for high dimensional data. ICPR Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey
2016	J	`jnl`	Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2016	J	`jnl`	Network Volume Anomaly Detection and Identification in Large-Scale Networks Based on Online Time-Structured Traffic Tensor Tracking. IEEE Trans. Netw. Serv. Manag. Hiroyuki Kasai, Wolfgang Kellerer, Martin Kleinsteuber
2016	J	`jnl`	Network Volume Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking. CoRR Hiroyuki Kasai, Wolfgang Kellerer, Martin Kleinsteuber
2016	A*	`conf`	Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. CVPR Xian Wei, Hao Shen, Martin Kleinsteuber
2015	J	`jnl`	A Bimodal Co-sparse Analysis Model for Image Processing. Int. J. Comput. Vis. Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber
2015	—	`conf`	A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. LVA/ICA Hao Shen, Martin Kleinsteuber
2015	—	`conf`	Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. GSI Martin Kleinsteuber, Hao Shen
2015	—	`conf`	Gaussian process dynamical models over dual quaternions. ECC Muriel Lang, Martin Kleinsteuber, Oliver Dunkley, Sandra Hirche
2015	—	`conf`	Improving Non-profiled Attacks on Exponentiations Based on Clustering and Extracting Leakage from Multi-channel High-Resolution EM Measurements. COSADE Robert Specht, Johann Heyszl, Martin Kleinsteuber, Georg Sigl
2015	—	`conf`	Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. LVA/ICA Xian Wei, Martin Kleinsteuber, Hao Shen
2015	J	`jnl`	Learning Co-Sparse Analysis Operators with Separable Structures. CoRR Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2015	—	`conf`	Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data. ITSC Justus Jordan, Christian Ruhhammer, Horst Kloeden, Martin Kleinsteuber
2015	—	`conf`	Robust Structured Low-Rank Approximation on the Grassmannian. LVA/ICA Clemens Hage, Martin Kleinsteuber
2015	J	`jnl`	Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Trans. Inf. Theory Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2014	J	`jnl`	A Bimodal Co-Sparse Analysis Model for Image Processing. CoRR Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber
2014	Misc	`conf`	An adaptive dictionary learning approach for modeling dynamical textures. ICASSP Xian Wei, Hao Shen, Martin Kleinsteuber
2014	C	`conf`	An ontology-based approach for decentralized monitoring and diagnostics. INDIN Lisa Abele, Stephan Grimm, Sonja Zillner, Martin Kleinsteuber
2014	—	`conf`	Co-Sparse Textural Similarity for Interactive Segmentation. ECCV (6) Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers
2014	J	`jnl`	Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications. IEEE Signal Process. Mag. Gilles Chabriel, Martin Kleinsteuber, Eric Moreau, Hao Shen, Petr Tichavský, Arie Yeredor
2014	—	`conf`	On the sample complexity of sparse dictionary learning. SSP Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2014	J	`jnl`	Robust PCA and subspace tracking from incomplete observations using (ℓ Comput. Stat. Clemens Hage, Martin Kleinsteuber
2014	J	`jnl`	Separable Cosparse Analysis Operator Learning. CoRR Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014	—	`conf`	Separable cosparse Analysis Operator learning. EUSIPCO Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014	J	`jnl`	Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics. CoRR Clemens Hage, Tim Habigt, Martin Kleinsteuber
2014	J	`jnl`	Sparse matrices in data analysis. Comput. Stat. Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou
2014	—	`conf`	Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter. ITSC Justus Jordan, Nils Hirsenkorn, Felix Klanner, Martin Kleinsteuber
2014	J	`jnl`	pROST: a smoothed ℓ Mach. Vis. Appl. Florian Seidel, Clemens Hage, Martin Kleinsteuber
2013	—	`conf`	A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. GSI Martin Kleinsteuber, Hao Shen
2013	J	`jnl`	A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution CoRR Martin Kiechle, Simon Hawe, Martin Kleinsteuber
2013	A*	`conf`	A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. ICCV Martin Kiechle, Simon Hawe, Martin Kleinsteuber
2013	—	`conf`	A Knowledge Engineering Methodology for Resource Monitoring in the Industrial Domain. MIM Lisa Abele, Thorbjørn Hansen, Martin Kleinsteuber
2013	—	`conf`	A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval
2013	J	`jnl`	An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures. CoRR Xian Wei, Hao Shen, Martin Kleinsteuber
2013	J	`jnl`	Analysis Based Blind Compressive Sensing CoRR Julian Wörmann, Simon Hawe, Martin Kleinsteuber
2013	J	`jnl`	Analysis Based Blind Compressive Sensing. IEEE Signal Process. Lett. Julian Wörmann, Simon Hawe, Martin Kleinsteuber
2013	J	`jnl`	Analysis Operator Learning and its Application to Image Reconstruction. IEEE Trans. Image Process. Simon Hawe, Martin Kleinsteuber, Klaus Diepold
2013	J	`jnl`	Averaging complex subspaces via a Karcher mean approach. Signal Process. Knut Hüper, Martin Kleinsteuber, Hao Shen
2013	J	`jnl`	Co-Sparse Textural Similarity for Image Segmentation. CoRR Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe, Martin Kleinsteuber
2013	—	`conf`	Combining Knowledge Modeling and Machine Learning for Alarm Root Cause Analysis. MIM Lisa Abele, Maja Anic, Tim Gutmann, Jens Folmer, Martin Kleinsteuber, Birgit Vogel-Heuser
2013	J	`jnl`	Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2013	J	`jnl`	Separable Dictionary Learning CoRR Simon Hawe, Matthias Seibert, Martin Kleinsteuber
2013	A*	`conf`	Separable Dictionary Learning. CVPR Simon Hawe, Matthias Seibert, Martin Kleinsteuber
2013	J	`jnl`	Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. IEEE Trans. Signal Process. Martin Kleinsteuber, Hao Shen
2013	J	`jnl`	pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video CoRR Florian Seidel, Clemens Hage, Martin Kleinsteuber
2012	—	`conf`	A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. LVA/ICA Hao Shen, Martin Kleinsteuber
2012	—	`conf`	Algebraic Solutions to Complex Blind Source Separation. LVA/ICA Hao Shen, Martin Kleinsteuber
2012	J	`jnl`	Analysis Operator Learning and Its Application to Image Reconstruction CoRR Simon Hawe, Martin Kleinsteuber, Klaus Diepold
2012	J	`jnl`	Blind Source Separation With Compressively Sensed Linear Mixtures. IEEE Signal Process. Lett. Martin Kleinsteuber, Hao Shen
2012	Misc	`conf`	Cartoon-like image reconstruction via constrained ℓp-minimization. ICASSP Simon Hawe, Martin Kleinsteuber, Klaus Diepold
2012	J	`jnl`	Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. EURASIP J. Adv. Signal Process. Hao Shen, Martin Kleinsteuber
2012	—	`conf`	Tracking Solutions of Time Varying Linear Inverse Problems. ICPRAM (1) Martin Kleinsteuber, Simon Hawe
2011	—	`conf`	A Compressive Sensing Scheme of Frequency Sparse Signals for Mobile and Wearable Platforms. EUROCAST (2) Stephan da Costa Ribeiro, Martin Kleinsteuber, Andreas Möller, Matthias Kranz
2011	J	`jnl`	Blind Source Separation with Compressively Sensed Linear Mixtures CoRR Martin Kleinsteuber, Hao Shen
2011	A*	`conf`	Dense disparity maps from sparse disparity measurements. ICCV Simon Hawe, Martin Kleinsteuber, Klaus Diepold
2011	J	`jnl`	Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization CoRR Martin Kleinsteuber, Hao Shen
2011	—	`conf`	Resource monitoring in industrial production with knowledge-based models and rules. PIKM@CIKM Lisa Abele, Martin Kleinsteuber, Thorbjørn Hansen
2010	J	`jnl`	A differential equation for diagonalizing complex semisimple Lie algebra elements. Syst. Control. Lett. Uwe Helmke, Martin Kleinsteuber
2010	—	`conf`	Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. LVA/ICA Hao Shen, Martin Kleinsteuber
2008	J	`jnl`	Local Convergence Analysis of FastICA and Related Algorithms. IEEE Trans. Neural Networks Hao Shen, Martin Kleinsteuber, Knut Hüper
2008	J	`jnl`	On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays. IEEE Trans. Signal Process. Martin Kleinsteuber, Abd-Krim Seghouane
2008	J	`jnl`	Rolling Stiefel manifolds. Int. J. Syst. Sci. Knut Hüper, Martin Kleinsteuber, Fatima Silva Leite
2007	—	`conf`	An Intrinsic CG Algorithm for Computing Dominant Subspaces. ICASSP (4) Martin Kleinsteuber, Knut Hüper
2007	—	`conf`	Efficient geometric methods for kernel density estimation based Independent Component Analysis. EUSIPCO Hao Shen, Martin Kleinsteuber, Knut Hüper
2006	J	`jnl`	Spin Dynamics: A Paradigm for Time Optimal Control on Compact Lie Groups. J. Glob. Optim. Gunther Dirr, Uwe Helmke, Knut Hüper, Martin Kleinsteuber, Y. Liu
2004	J	`jnl`	Jacobi's Algorithm on Compact Lie Algebras. SIAM J. Matrix Anal. Appl. Martin Kleinsteuber, Uwe Helmke, Knut Hüper