Martin Kleinsteuber

According to our database1, Martin Kleinsteuber authored at least 84 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Barlow Graph Auto-Encoder for Unsupervised Network Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Cluster-Aware Heterogeneous Information Network Embedding.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

On Leveraging Variational Graph Embeddings for Open World Compositional Zero-Shot Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

On Leveraging the Metapath and Entity Aware Subgraphs for Recommendation.
Proceedings of the MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, 2022

2021
Cash flow prediction: MLP and LSTM compared to ARIMA and Prophet.
Electron. Commer. Res., 2021

A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks.
CoRR, 2021

Variational Embeddings for Community Detection and Node Representation.
CoRR, 2021

Compositional Learning of Image-Text Query for Image Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

A Contrastive Learning Approach for Compositional Zero-Shot Learning.
Proceedings of the ICMI '21: International Conference on Multimodal Interaction, 2021

2020
Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction.
IEEE Trans. Vis. Comput. Graph., 2020

Trace Quotient with Sparsity Priors for Learning Low Dimensional Image Representations.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Metapath- and Entity-aware Graph Neural Network for Recommendation.
CoRR, 2020

Epitomic Variational Graph Autoencoder.
CoRR, 2020

Mend the Learning Approach, Not the Data: Insights for Ranking E-Commerce Products.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020

Epitomic Variational Graph Autoencoder.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Counterfactual Learning from Logs for Improved Ranking of E-Commerce Products.
CoRR, 2019

2018
Model-Based Learning of Local Image Features for Unsupervised Texture Segmentation.
IEEE Trans. Image Process., 2018

Alignment Distances on Systems of Bags.
IEEE Trans. Circuits Syst. Video Technol., 2018

Clustering with Simultaneous Local and Global View of Data: A message passing based approach.
CoRR, 2018

Gaussian process for 6-DoF rigid motions.
Auton. Robots, 2018

2017
Dynamical Textures Modeling via Joint Video Dictionary Learning.
IEEE Trans. Image Process., 2017

Data estimation with predictive switching mechanism in wireless sensor networks.
Int. J. Sens. Networks, 2017

Towards Glyph-based visualizations for big data clustering.
Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

A Framework for Training Hybrid Recommender Systems.
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

A RGB/NIR Data Set For Evaluating Dehazing Algorithms.
Proceedings of the Image Quality and System Performance XIV, Electronic Imaging 2017, 2017

2016
Learning Co-Sparse Analysis Operators With Separable Structures.
IEEE Trans. Signal Process., 2016

Network Volume Anomaly Detection and Identification in Large-Scale Networks Based on Online Time-Structured Traffic Tensor Tracking.
IEEE Trans. Netw. Serv. Manag., 2016

A Binary Time Series Model of LTE Scheduling for Machine Learning Prediction.
Proceedings of the 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W), 2016

Joint learning dictionary and discriminative features for high dimensional data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Active classifier selection for RGB-D object categorization using a Markov random field ensemble method.
Proceedings of the Ninth International Conference on Machine Vision, 2016

Trace Quotient Meets Sparsity: A Method for Learning Low Dimensional Image Representations.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Sample Complexity of Dictionary Learning and Other Matrix Factorizations.
IEEE Trans. Inf. Theory, 2015

A Bimodal Co-sparse Analysis Model for Image Processing.
Int. J. Comput. Vis., 2015

Learning Driving Scene Prediction from Environmental Perception of Vehicle Fleet Data.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Invertible Nonlinear Dimensionality Reduction via Joint Dictionary Learning.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Robust Structured Low-Rank Approximation on the Grassmannian.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Block-Jacobi Methods with Newton-Steps and Non-unitary Joint Matrix Diagonalization.
Proceedings of the Geometric Science of Information - Second International Conference, 2015

Gaussian process dynamical models over dual quaternions.
Proceedings of the 14th European Control Conference, 2015

Improving Non-profiled Attacks on Exponentiations Based on Clustering and Extracting Leakage from Multi-channel High-Resolution EM Measurements.
Proceedings of the Constructive Side-Channel Analysis and Secure Design, 2015

2014
Joint Matrices Decompositions and Blind Source Separation: A survey of methods, identification, and applications.
IEEE Signal Process. Mag., 2014

pROST: a smoothed ℓ<sub>p</sub>-norm robust online subspace tracking method for background subtraction in video.
Mach. Vis. Appl., 2014

Sparse matrices in data analysis.
Comput. Stat., 2014

Robust PCA and subspace tracking from incomplete observations using (ℓ<sub>0</sub>)-surrogates.
Comput. Stat., 2014

Sparse DOA Estimation of Wideband Sound Sources Using Circular Harmonics.
CoRR, 2014

On the sample complexity of sparse dictionary learning.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Vehicle mass estimation based on vehicle vertical dynamics using a multi-model filter.
Proceedings of the 17th International IEEE Conference on Intelligent Transportation Systems, 2014

An ontology-based approach for decentralized monitoring and diagnostics.
Proceedings of the 12th IEEE International Conference on Industrial Informatics, 2014

An adaptive dictionary learning approach for modeling dynamical textures.
Proceedings of the IEEE International Conference on Acoustics, 2014

Separable cosparse Analysis Operator learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

Co-Sparse Textural Similarity for Interactive Segmentation.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Uniqueness Analysis of Non-Unitary Matrix Joint Diagonalization.
IEEE Trans. Signal Process., 2013

Analysis Operator Learning and its Application to Image Reconstruction.
IEEE Trans. Image Process., 2013

Analysis Based Blind Compressive Sensing.
IEEE Signal Process. Lett., 2013

Averaging complex subspaces via a Karcher mean approach.
Signal Process., 2013

pROST : A Smoothed Lp-norm Robust Online Subspace Tracking Method for Realtime Background Subtraction in Video
CoRR, 2013

Co-Sparse Textural Similarity for Image Segmentation.
CoRR, 2013

A conjugate gradient algorithm for blind sensor calibration in sparse recovery.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

A Knowledge Engineering Methodology for Resource Monitoring in the Industrial Domain.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

Combining Knowledge Modeling and Machine Learning for Alarm Root Cause Analysis.
Proceedings of the 7th IFAC Conference on Manufacturing Modelling, Management, and Control, 2013

A Joint Intensity and Depth Co-sparse Analysis Model for Depth Map Super-resolution.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Geometric Framework for Non-Unitary Joint Diagonalization of Complex Symmetric Matrices.
Proceedings of the Geometric Science of Information - First International Conference, 2013

Separable Dictionary Learning.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Blind Source Separation With Compressively Sensed Linear Mixtures.
IEEE Signal Process. Lett., 2012

Non-Unitary Matrix Joint Diagonalization for Complex Independent Vector Analysis.
EURASIP J. Adv. Signal Process., 2012

Tracking Solutions of Time Varying Linear Inverse Problems.
Proceedings of the ICPRAM 2012, 2012

Cartoon-like image reconstruction via constrained ℓp-minimization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Algebraic Solutions to Complex Blind Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

A Matrix Joint Diagonalization Approach for Complex Independent Vector Analysis.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
Identifiability of Complex Blind Source Separation via Non-Unitary Joint Diagonalization
CoRR, 2011

Dense disparity maps from sparse disparity measurements.
Proceedings of the IEEE International Conference on Computer Vision, 2011

A Compressive Sensing Scheme of Frequency Sparse Signals for Mobile and Wearable Platforms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Resource monitoring in industrial production with knowledge-based models and rules.
Proceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management, 2011

2010
A differential equation for diagonalizing complex semisimple Lie algebra elements.
Syst. Control. Lett., 2010

Complex Blind Source Separation via Simultaneous Strong Uncorrelating Transform.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2008
On the Deterministic CRB for DOA Estimation in Unknown Noise Fields Using Sparse Sensor Arrays.
IEEE Trans. Signal Process., 2008

Local Convergence Analysis of FastICA and Related Algorithms.
IEEE Trans. Neural Networks, 2008

Rolling Stiefel manifolds.
Int. J. Syst. Sci., 2008

2007
An Intrinsic CG Algorithm for Computing Dominant Subspaces.
Proceedings of the IEEE International Conference on Acoustics, 2007

Efficient geometric methods for kernel density estimation based Independent Component Analysis.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Spin Dynamics: A Paradigm for Time Optimal Control on Compact Lie Groups.
J. Glob. Optim., 2006

2004
Jacobi's Algorithm on Compact Lie Algebras.
SIAM J. Matrix Anal. Appl., 2004


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