Martin Kleinsteuber

ORCID

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 40

Top Venues

CoRR

IEEE Trans. Image Process.

LVA/ICA

MIM

Publications

Rayyan Ahmad Khan, Martin Kleinsteuber
Barlow Graph Auto-Encoder for Unsupervised Network Embedding. AISTATS (2023)
Rayyan Ahmad Khan, Martin Kleinsteuber
Cluster-Aware Heterogeneous Information Network Embedding. WSDM (2022)
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)
Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR (2022)
Muhammad Umer Anwaar, Zhihui Pan, Martin Kleinsteuber
On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning. ACM Multimedia (2022)
Rayyan Ahmad Khan, Muhammad Umer Anwaar, Omran Kaddah, Martin Kleinsteuber
Variational Embeddings for Community Detection and Node Representation. CoRR (2021)
Rayyan Ahmad Khan, Martin Kleinsteuber
Barlow Graph Auto-Encoder for Unsupervised Network Embedding. CoRR (2021)
Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
Compositional Learning of Image-Text Query for Image Retrieval. WACV (2021)
Muhammad Umer Anwaar, Rayyan Ahmad Khan, Zhihui Pan, Martin Kleinsteuber
A Contrastive Learning Approach for Compositional Zero-Shot Learning. ICMI (2021)
Rayyan Ahmad Khan, Martin Kleinsteuber
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks. CoRR (2021)
Hans Weytjens, Enrico Lohmann, Martin Kleinsteuber
Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet. Electron. Commer. Res. 21 (2) (2021)
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)
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) (2020)
Rayyan Ahmad Khan, Martin Kleinsteuber
Epitomic Variational Graph Autoencoder. CoRR (2020)
Muhammad Umer Anwaar, Egor Labintcev, Martin Kleinsteuber
Compositional Learning of Image-Text Query for Image Retrieval. CoRR (2020)
Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products. ECML/PKDD (5) (2020)
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) (2020)
Rayyan Ahmad Khan, Muhammad Umer Anwaar, Martin Kleinsteuber
Epitomic Variational Graph Autoencoder. ICPR (2020)
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 (2020)
Muhammad Umer Anwaar, Dmytro Rybalko, Martin Kleinsteuber
Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products. CoRR (2019)
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) (2019)
Muriel Lang, Martin Kleinsteuber, Sandra Hirche
Gaussian process for 6-DoF rigid motions. Auton. Robots 42 (6) (2018)
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) (2018)
Rayyan Ahmad Khan, Rana Ali Amjad, Martin Kleinsteuber
Clustering with Simultaneous Local and Global View of Data: A message passing based approach. CoRR (2018)
Alexander Sagel, Martin Kleinsteuber
Alignment Distances on Systems of Bags. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Xian Wei, Hao Shen, Martin Kleinsteuber
Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations. CoRR (2018)
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) (2017)
Simon Bremer, Alan Schelten, Enrico Lohmann, Martin Kleinsteuber
A Framework for Training Hybrid Recommender Systems. RecSysKTL (2017)
Jyotirmoy Karjee, Martin Kleinsteuber
Data estimation with predictive switching mechanism in wireless sensor networks. Int. J. Sens. Networks 25 (3) (2017)
Martin Kiechle, Martin Storath, Andreas Weinmann, Martin Kleinsteuber
Model-based learning of local image features for unsupervised texture segmentation. CoRR (2017)
Mandy Keck, Dietrich Kammer, Thomas Gründer, Thomas Thom, Martin Kleinsteuber, Alexander Maasch, Rainer Groh
Towards Glyph-based visualizations for big data clustering. VINCI (2017)
Julia Lüthen, Julian Wörmann, Martin Kleinsteuber, Johannes Steurer
A RGB/NIR Data Set For Evaluating Dehazing Algorithms. IQSP (2017)
Alexander Sagel, Martin Kleinsteuber
Alignment Distances on Systems of Bags. CoRR (2017)
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)
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. 64 (1) (2016)
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 (2016)
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) (2016)
Xian Wei, Hao Shen, Martin Kleinsteuber
Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations. CVPR (2016)
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)
Xian Wei, Yuanxiang Li, Hao Shen, Martin Kleinsteuber, Yi Lu Murphey
Joint learning dictionary and discriminative features for high dimensional data. ICPR (2016)
Clemens Hage, Martin Kleinsteuber
Robust Structured Low-Rank Approximation on the Grassmannian. LVA/ICA (2015)
Xian Wei, Martin Kleinsteuber, Hao Shen
Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning. LVA/ICA (2015)
Martin Kleinsteuber, Hao Shen
Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization. GSI (2015)
Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber
A Bimodal Co-sparse Analysis Model for Image Processing. Int. J. Comput. Vis. 114 (2-3) (2015)
Hao Shen, Martin Kleinsteuber
A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices. LVA/ICA (2015)
Muriel Lang, Martin Kleinsteuber, Oliver Dunkley, Sandra Hirche
Gaussian process dynamical models over dual quaternions. ECC (2015)
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
Learning Co-Sparse Analysis Operators with Separable Structures. CoRR (2015)
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) (2015)
Justus Jordan, Christian Ruhhammer, Horst Kloeden, Martin Kleinsteuber
Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data. ITSC (2015)
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)
Clemens Hage, Martin Kleinsteuber
)-surrogates. Comput. Stat. 29 (3) (2014)
Justus Jordan, Nils Hirsenkorn, Felix Klanner, Martin Kleinsteuber
Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter. ITSC (2014)
Xian Wei, Hao Shen, Martin Kleinsteuber
An adaptive dictionary learning approach for modeling dynamical textures. ICASSP (2014)
Clemens Hage, Tim Habigt, Martin Kleinsteuber
Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics. CoRR (2014)
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
Separable cosparse Analysis Operator learning. EUSIPCO (2014)
Claudia Nieuwenhuis, Simon Hawe, Martin Kleinsteuber, Daniel Cremers
Co-Sparse Textural Similarity for Interactive Segmentation. ECCV (6) (2014)
Florian Seidel, Clemens Hage, Martin Kleinsteuber
-norm robust online subspace tracking method for background subtraction in video. Mach. Vis. Appl. 25 (5) (2014)
Martin Kiechle, Tim Habigt, Simon Hawe, Martin Kleinsteuber
A Bimodal Co-Sparse Analysis Model for Image Processing. CoRR (2014)
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) (2014)
Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
On the sample complexity of sparse dictionary learning. SSP (2014)
Nickolay T. Trendafilov, Martin Kleinsteuber, Hui Zou
Sparse matrices in data analysis. Comput. Stat. 29 (3) (2014)
Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
Separable Cosparse Analysis Operator Learning. CoRR (2014)
Lisa Abele, Stephan Grimm, Sonja Zillner, Martin Kleinsteuber
An ontology-based approach for decentralized monitoring and diagnostics. INDIN (2014)
Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval
A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP (2013)
Xian Wei, Hao Shen, Martin Kleinsteuber
An Adaptive Dictionary Learning Approach for Modeling Dynamical Textures. CoRR (2013)
Julian Wörmann, Simon Hawe, Martin Kleinsteuber
Analysis Based Blind Compressive Sensing. IEEE Signal Process. Lett. 20 (5) (2013)
Claudia Nieuwenhuis, Daniel Cremers, Simon Hawe, Martin Kleinsteuber
Co-Sparse Textural Similarity for Image Segmentation. CoRR (2013)
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Analysis Operator Learning and its Application to Image Reconstruction. IEEE Trans. Image Process. 22 (6) (2013)
Martin Kleinsteuber, Hao Shen
A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices. GSI (2013)
Julian Wörmann, Simon Hawe, Martin Kleinsteuber
Analysis Based Blind Compressive Sensing CoRR (2013)
Martin Kiechle, Simon Hawe, Martin Kleinsteuber
A Joint Intensity and Depth Co-Sparse Analysis Model for Depth Map Super-Resolution CoRR (2013)
Florian Seidel, Clemens Hage, Martin Kleinsteuber
pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video CoRR (2013)
Martin Kiechle, Simon Hawe, Martin Kleinsteuber
A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution. ICCV (2013)
Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR (2013)
Simon Hawe, Matthias Seibert, Martin Kleinsteuber
Separable Dictionary Learning CoRR (2013)
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)
Lisa Abele, Thorbjørn Hansen, Martin Kleinsteuber
A Knowledge Engineering Methodology for Resource Monitoring in the Industrial Domain. MIM (2013)
Knut Hüper, Martin Kleinsteuber, Hao Shen
Averaging complex subspaces via a Karcher mean approach. Signal Process. 93 (2) (2013)
Simon Hawe, Matthias Seibert, Martin Kleinsteuber
Separable Dictionary Learning. CVPR (2013)
Martin Kleinsteuber, Hao Shen
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization. IEEE Trans. Signal Process. 61 (7) (2013)
Hao Shen, Martin Kleinsteuber
Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis. EURASIP J. Adv. Signal Process. 2012 (2012)
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Cartoon-like image reconstruction via constrained ℓp-minimization. ICASSP (2012)
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Analysis Operator Learning and Its Application to Image Reconstruction CoRR (2012)
Martin Kleinsteuber, Hao Shen
Blind Source Separation With Compressively Sensed Linear Mixtures. IEEE Signal Process. Lett. 19 (2) (2012)
Hao Shen, Martin Kleinsteuber
A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis. LVA/ICA (2012)
Martin Kleinsteuber, Simon Hawe
Tracking Solutions of Time Varying Linear Inverse Problems. ICPRAM (1) (2012)
Hao Shen, Martin Kleinsteuber
Algebraic Solutions to Complex Blind Source Separation. LVA/ICA (2012)
Lisa Abele, Martin Kleinsteuber, Thorbjørn Hansen
Resource monitoring in industrial production with knowledge-based models and rules. PIKM@CIKM (2011)
Martin Kleinsteuber, Hao Shen
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization CoRR (2011)
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)
Martin Kleinsteuber, Hao Shen
Blind Source Separation with Compressively Sensed Linear Mixtures CoRR (2011)
Simon Hawe, Martin Kleinsteuber, Klaus Diepold
Dense disparity maps from sparse disparity measurements. ICCV (2011)
Uwe Helmke, Martin Kleinsteuber
A differential equation for diagonalizing complex semisimple Lie algebra elements. Syst. Control. Lett. 59 (1) (2010)
Hao Shen, Martin Kleinsteuber
Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform. LVA/ICA (2010)
Knut Hüper, Martin Kleinsteuber, Fatima Silva Leite
Rolling Stiefel manifolds. Int. J. Syst. Sci. 39 (9) (2008)
Hao Shen, Martin Kleinsteuber, Knut Hüper
Local Convergence Analysis of FastICA and Related Algorithms. IEEE Trans. Neural Networks 19 (6) (2008)
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) (2008)
Hao Shen, Martin Kleinsteuber, Knut Hüper
Efficient geometric methods for kernel density estimation based Independent Component Analysis. EUSIPCO (2007)
Martin Kleinsteuber, Knut Hüper
An Intrinsic CG Algorithm for Computing Dominant Subspaces. ICASSP (4) (2007)
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) (2006)

Martin Kleinsteuber.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Martin Kleinsteuber