Joachim M. Buhmann

Orcid: 0000-0002-6613-7101

Affiliations:
  • ETH Zurich, Switzerland
  • University of Bonn, Germany


According to our database1, Joachim M. Buhmann authored at least 281 papers between 1988 and 2024.

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Bibliography

2024
Fundamentals of Arthroscopic Surgery Training and beyond: a reinforcement learning exploration and benchmark.
Int. J. Comput. Assist. Radiol. Surg., September, 2024

Learning Causally Invariant Reward Functions from Diverse Demonstrations.
CoRR, 2024

Measuring Orthogonality in Representations of Generative Models.
CoRR, 2024

Breeding Programs Optimization with Reinforcement Learning.
CoRR, 2024

Gaussian Representation for Deformable Image Registration.
CoRR, 2024

TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM.
CoRR, 2024

CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation.
CoRR, 2024

Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods.
CoRR, 2024

Point-In-Context: Understanding Point Cloud via In-Context Learning.
CoRR, 2024

Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.
CoRR, 2024

Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction.
CoRR, 2024

2023
ChromaX: a fast and scalable breeding program simulator.
Bioinform., December, 2023

Gated Domain Units for Multi-source Domain Generalization.
Trans. Mach. Learn. Res., 2023

Weakly supervised inference of personalized heart meshes based on echocardiography videos.
Medical Image Anal., 2023

Regularizing Adversarial Imitation Learning Using Causal Invariance.
CoRR, 2023

Explore In-Context Learning for 3D Point Cloud Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Domain Generalization for Diagnosis of Pulmonary Fibrosis Using Dose-Invariant Feature Selection.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
How to Enable Uncertainty Estimation in Proximal Policy Optimization.
CoRR, 2022

BARReL: Bottleneck Attention for Adversarial Robustness in Vision-Based Reinforcement Learning.
CoRR, 2022

Gated Domain Units for Multi-source Domain Generalization.
CoRR, 2022

Learning Long-Term Crop Management Strategies with CyclesGym.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Improving Explainability of Disentangled Representations using Multipath-Attribution Mappings.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Holistic Modeling In Medical Image Segmentation Using Spatial Recurrence.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Statistical and computational thresholds for the planted k-densest sub-hypergraph problem.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Entrack: Probabilistic Spherical Regression with Entropy Regularization for Fiber Tractography.
Int. J. Comput. Vis., 2021

Spatially Dependent U-Nets: Highly Accurate Architectures for Medical Imaging Segmentation.
CoRR, 2021

Self-supervised representation learning for surgical activity recognition.
Int. J. Comput. Assist. Radiol. Surg., 2021

On maximum-likelihood estimation in the all-or-nothing regime.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Continuous Submodular Function Maximization.
CoRR, 2020

Neural collaborative filtering for unsupervised mitral valve segmentation in echocardiography.
Artif. Intell. Medicine, 2020

Instance Segmentation for the Quantification of Microplastic Fiber Images.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

DeepHeartBeat: Latent trajectory learning of cardiac cycles using cardiac ultrasounds.
Proceedings of the Machine Learning for Health Workshop, 2020

From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning Counterfactual Representations for Estimating Individual Dose-Response Curves.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
SPINDLE: End-to-end learning from EEG/EMG to extrapolate animal sleep scoring across experimental settings, labs and species.
PLoS Comput. Biol., 2019

Variational Federated Multi-Task Learning.
CoRR, 2019

Disentangled State Space Representations.
CoRR, 2019

Exact Recovery for a Family of Community-Detection Generative Models.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Generative Aging Of Brain MRI For Early Prediction Of MCI-AD Conversion.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference.
Proceedings of the 36th International Conference on Machine Learning, 2019

Disentangled State Space Models: Unsupervised Learning of dynamics across Heterogeneous Environments.
Proceedings of the Deep Generative Models for Highly Structured Data, 2019

Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression.
Proceedings of the Pattern Recognition, 2019

Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography.
Proceedings of the Pattern Recognition, 2019

Fast Gaussian process based gradient matching for parameter identification in systems of nonlinear ODEs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Unsupervised Mitral Valve Segmentation in Echocardiography with Neural Network Matrix Factorization.
Proceedings of the Artificial Intelligence in Medicine, 2019

2018
Wheel Defect Detection With Machine Learning.
IEEE Trans. Intell. Transp. Syst., 2018

Posterior agreement for large parameter-rich optimization problems.
Theor. Comput. Sci., 2018

Pipeline validation for connectivity-based cortex parcellation.
NeuroImage, 2018

A generative model of whole-brain effective connectivity.
NeuroImage, 2018

Robust optimization in the presence of uncertainty: A generic approach.
J. Comput. Syst. Sci., 2018

Optimal DR-Submodular Maximization and Applications to Provable Mean Field Inference.
CoRR, 2018

Classification of brain MRI with big data and deep 3D convolutional neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Free Energy Asymptotics for Problems with Weak Solution Dependencies.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Data-driven fiber tractography with neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

VIS Capstone Address : Can I believe what I see?-Information theoretic algorithm validation.
Proceedings of the 13th IEEE Conference on Visual Analytics Science and Technology, 2018

2017
Regression DCM for fMRI.
NeuroImage, 2017

Glaucoma detection using entropy sampling and ensemble learning for automatic optic cup and disc segmentation.
Comput. Medical Imaging Graph., 2017

Scalable Variational Inference for Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient and Flexible Inference for Stochastic Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

MRI-Based Surgical Planning for Lumbar Spinal Stenosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Guarantees for Greedy Maximization of Non-submodular Functions with Applications.
Proceedings of the 34th International Conference on Machine Learning, 2017

Model Selection for Gaussian Process Regression.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

Phase Transitions in Parameter Rich Optimization Problems.
Proceedings of the Fourteenth Workshop on Analytic Algorithmics and Combinatorics, 2017

Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Multi-Organ Cancer Classification and Survival Analysis.
CoRR, 2016

Active learning based segmentation of Crohns disease from abdominal MRI.
Comput. Methods Programs Biomed., 2016

Scalable Adaptive Stochastic Optimization Using Random Projections.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Information-theoretic analysis of MaxCut algorithms.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

TI-POOLING: Transformation-Invariant Pooling for Feature Learning in Convolutional Neural Networks.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Inversion of hierarchical Bayesian models using Gaussian processes.
NeuroImage, 2015

Asymptotic analysis of estimators on multi-label data.
Mach. Learn., 2015

Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Visual Saliency Based Active Learning for Prostate MRI Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Greedy MaxCut algorithms and their information content.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Crohn's disease segmentation from MRI using learned image priors.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Joint segmentation and groupwise registration of cardiac DCE MRI using sparse data representations.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

A field of experts model for optic cup and disc segmentation from retinal fundus images.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Transformation-Invariant Convolutional Jungles.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Kickback Cuts Backprop's Red-Tape: Biologically Plausible Credit Assignment in Neural Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Prostate MRI Segmentation Using Learned Semantic Knowledge and Graph Cuts.
IEEE Trans. Biomed. Eng., 2014

Fast and Robust Least Squares Estimation in Corrupted Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Semi-automatic Crohn's Disease Severity Estimation on MR Imaging.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn's Disease Segmentation.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2014

Sparse feature selection by information theory.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

How informative are Minimum Spanning Tree algorithms?
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Active learning based segmentation of Crohn's disease using principles of visual saliency.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Superslicing frame restoration for anisotropic sstem.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data.
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014

Convolutional Decision Trees for Feature Learning and Segmentation.
Proceedings of the Pattern Recognition - 36th German Conference, 2014

2013
Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Structure Preserving Embedding of Dissimilarity Data.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

SIMBAD: Emergence of Pattern Similarity.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI.
IEEE Trans. Medical Imaging, 2013

Role Mining with Probabilistic Models.
ACM Trans. Inf. Syst. Secur., 2013

Variational Bayesian mixed-effects inference for classification studies.
NeuroImage, 2013

A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure.
J. Digit. Imaging, 2013

Near-optimal experimental design for model selection in systems biology.
Bioinform., 2013

Towards a Framework for Modelling Engagement Dynamics in Multiple Learning Domains.
Int. J. Artif. Intell. Educ., 2013

Correlated random features for fast semi-supervised learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

A Model Development Pipeline for Crohn's Disease Severity Assessment from Magnetic Resonance Images.
Proceedings of the Abdominal Imaging. Computation and Clinical Applications, 2013

Semi-Supervised and Active Learning for Automatic Segmentation of Crohn's Disease.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Automatic cardiac RV segmentation using semantic information with graph cuts.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Robust optimization in the presence of uncertainty.
Proceedings of the Innovations in Theoretical Computer Science, 2013

Ellipsoidal Multiple Instance Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

Approximate Sorting.
Proceedings of the Pattern Recognition - 35th German Conference, 2013

2012
Speech Enhancement Using Generative Dictionary Learning.
IEEE Trans. Speech Audio Process., 2012

Learning Dictionaries With Bounded Self-Coherence.
IEEE Signal Process. Lett., 2012

Decoding the perception of pain from fMRI using multivariate pattern analysis.
NeuroImage, 2012

Multi-Assignment Clustering for Boolean Data.
J. Mach. Learn. Res., 2012

Information Theoretic Model Validation for Spectral Clustering.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Information Theoretic Model Selection for Pattern Analysis.
Proceedings of the Unsupervised and Transfer Learning, 2012

Bayesian mixed-effects inference on classification performance in hierarchical data sets.
J. Mach. Learn. Res., 2012

A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

Cardiac LV and RV Segmentation Using Mutual Context Information.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012

Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

The information content in sorting algorithms.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Computational modeling for assessment of IBD: To be or not to be?
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Weakly supervised structured output learning for semantic segmentation.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Active learning for semantic segmentation with expected change.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Generative Embedding for Model-Based Classification of fMRI Data.
PLoS Comput. Biol., 2011

Model-based feature construction for multivariate decoding.
NeuroImage, 2011

Proteome Coverage Prediction for Integrated Proteomics Datasets.
J. Comput. Biol., 2011

Selecting the rank of SVD by Maximum Approximation Capacity
CoRR, 2011

Computational pathology: Challenges and promises for tissue analysis.
Comput. Medical Imaging Graph., 2011

Model-Based Clustering of Inhomogeneous Paired Comparison Data.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

The Minimum Transfer Cost Principle for Model-Order Selection.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Context Sensitive Information: Model Validation by Information Theory.
Proceedings of the Pattern Recognition - Third Mexican Conference, 2011

Selecting the rank of truncated SVD by maximum approximation capacity.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Weakly supervised semantic segmentation with a multi-image model.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Predicting Graduate-level Performance from Undergraduate Achievements.
Proceedings of the 4th International Conference on Educational Data Mining, 2011

Agnostic Domain Adaptation.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

Modeling Engagement Dynamics in Spelling Learning.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

2010
Learning the Compositional Nature of Visual Object Categories for Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Infinite mixture-of-experts model for sparse survival regression with application to breast cancer.
BMC Bioinform., 2010

On the definition of role mining.
Proceedings of the 15th ACM Symposium on Access Control Models and Technologies, 2010

Entropy and Margin Maximization for Structured Output Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Information theoretic model validation for clustering.
Proceedings of the IEEE International Symposium on Information Theory, 2010

The Binormal Assumption on Precision-Recall Curves.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

The Balanced Accuracy and Its Posterior Distribution.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Speech enhancement with sparse coding in learned dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2010

Regularized online learning of pseudometrics.
Proceedings of the IEEE International Conference on Acoustics, 2010

Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma.
Proceedings of the Pattern Recognition, 2010

Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Neuron geometry extraction by perceptual grouping in ssTEM images.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Spanning Tree Approximations for Conditional Random Fields.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Structure Identification by Optimized Interventions.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera.
Int. J. Comput. Vis., 2009

Proteome coverage prediction with infinite Markov models.
Bioinform., 2009

Adaptive bandwidth selection for biomarker discovery in mass spectrometry.
Artif. Intell. Medicine, 2009

Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Randomized Tree Ensembles for Object Detection in Computational Pathology.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Optimized expected information gain for nonlinear dynamical systems.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Inter-active learning of randomized tree ensembles for object detection.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Manifold regularization for semi-supervised sequential learning.
Proceedings of the IEEE International Conference on Acoustics, 2009

Stable Bayesian Parameter Estimation for Biological Dynamical Systems.
Proceedings of the 12th IEEE International Conference on Computational Science and Engineering, 2009

A probabilistic approach to hybrid role mining.
Proceedings of the 2009 ACM Conference on Computer and Communications Security, 2009

2008
On Relevant Dimensions in Kernel Feature Spaces.
J. Mach. Learn. Res., 2008

Nonparametric Bayesian Image Segmentation.
Int. J. Comput. Vis., 2008

Classification of Multi-labeled Data: A Generative Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Kernel Expansion for Online Preference Tracking.
Proceedings of the ISMIR 2008, 2008

Expectation-maximization for sparse and non-negative PCA.
Proceedings of the Machine Learning, 2008

Music preference learning with partial information.
Proceedings of the IEEE International Conference on Acoustics, 2008

Automatic Detection of Learnability under Unreliable and Sparse User Feedback.
Proceedings of the Pattern Recognition, 2008

Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma.
Proceedings of the Pattern Recognition, 2008

Probabilistic image registration and anomaly detection by nonlinear warping.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

A class of probabilistic models for role engineering.
Proceedings of the 2008 ACM Conference on Computer and Communications Security, 2008

2007
Robust Image Segmentation Using Resampling and Shape Constraints.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Time-series alignment by non-negative multiple generalized canonical correlation analysis.
BMC Bioinform., 2007

PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra.
Bioinform., 2007

Complex Statistical Models for Object Recognition and Mass Spectrometry.
Proceedings of the Pattern Recognition in Information Systems, 2007

Cluster analysis of heterogeneous rank data.
Proceedings of the Machine Learning, 2007

Bayesian Order-Adaptive Clustering for Video Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Compositional Object Recognition, Segmentation, and Tracking in Video.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2007

Kernel-Based Grouping of Histogram Data.
Proceedings of the Machine Learning: ECML 2007, 2007

Regularized Data Fusion Improves Image Segmentation.
Proceedings of the Pattern Recognition, 2007

Learning the Compositional Nature of Visual Objects.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
On the information and representation of non-Euclidean pairwise data.
Pattern Recognit., 2006

Denoising and Dimension Reduction in Feature Space.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Semi-supervised LC/MS alignment for differential proteomics.
Proceedings of the Proceedings 14th International Conference on Intelligent Systems for Molecular Biology 2006, 2006

PerformancePrediction Challenge.
Proceedings of the International Joint Conference on Neural Networks, 2006

Smooth Image Segmentation by Nonparametric Bayesian Inference.
Proceedings of the Computer Vision, 2006

Learning Compositional Categorization Models.
Proceedings of the Computer Vision, 2006

Dense Stereo by Triangular Meshing and Cross Validation.
Proceedings of the Pattern Recognition, 2006

Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions.
Proceedings of the Pattern Recognition, 2006

Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information.
Proceedings of the Pattern Recognition, 2006

Model Order Selection and Cue Combination for Image Segmentation.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

Learning Top-Down Grouping of Compositional Hierarchies for Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005
Image Segmentation by Networks of Spiking Neurons.
Neural Comput., 2005

Fusion of Similarity Data in Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Combining partitions by probabilistic label aggregation.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

SAR images as mixtures of Gaussian mixtures.
Proceedings of the 2005 International Conference on Image Processing, 2005

Object Categorization by Compositional Graphical Models.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Learning with Constrained and Unlabelled Data.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Boundary-constrained agglomerative segmentation.
IEEE Trans. Geosci. Remote. Sens., 2004

Stability-Based Validation of Clustering Solutions.
Neural Comput., 2004

Clustering in Computer Vision and Data Analysis.
Proceedings of the Pattern Recognition in Information Systems, 2004

A Hidden Markov Model for de Novo Peptide Sequencing.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Landscape of Clustering Algorithms.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Shape Constrained Image Segmentation by Parametric Distributional Clustering.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

2003
A minimum entropy approach to adaptive image polygonization.
IEEE Trans. Image Process., 2003

Optimal Cluster Preserving Embedding of Nonmetric Proximity Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Bagging for Path-Based Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Clustering with the Connectivity Kernel.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

A Compositionally Architecture for Perceptual Feature Grouping.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Semi-supervised Image Segmentation by Parametric Distributional Clustering.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

A New Distance Measure for Probabilistic Shape Modeling.
Proceedings of the Pattern Recognition, 2003

2002
Coupled Clustering: A Method for Detecting Structural Correspondence.
J. Mach. Learn. Res., 2002

Going Metric: Denoising Pairwise Data.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Stability-Based Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Combined Color And Texture Segmentation by Parametric Distributional Clustering.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data.
Proceedings of the Artificial Neural Networks, 2002

Parametric Distributional Clustering for Image Segmentation.
Proceedings of the Computer Vision, 2002

Data Resampling for Path Based Clustering.
Proceedings of the Pattern Recognition, 2002

A Resampling Approach to Cluster Validation.
Proceedings of the COMPSTAT 2002, 2002

2001
Empirical Evaluation of Dissimilarity Measures for Color and Texture.
Comput. Vis. Image Underst., 2001

The Noisy Euclidean Traveling Salesman Problem and Learning.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Coupled Clustering: a Method for Detecting Structural Correspondence.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Topology Free Hidden Markov Models: Application to Background Modeling.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Path Based Pairwise Data Clustering with Application to Texture Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

A New Contour-Based Approach to Object Recognition for Assembly Line Robots.
Proceedings of the Pattern Recognition, 2001

Contextual Classification by Entropy-Based Polygonization.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
On spatial quantization of color images.
IEEE Trans. Image Process., 2000

A theory of proximity based clustering: structure detection by optimization.
Pattern Recognit., 2000

Data visualization by multidimensional scaling: a deterministic annealing approach.
Pattern Recognit., 2000

Feature Selection for Support Vector Machines.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Active Learning for Hierarchical Pairwise Data Clustering.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

On Learning Optimal Texture Edge Detectors.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
Histogram clustering for unsupervised segmentation and image retrieval.
Pattern Recognit. Lett., 1999

Multiscale Annealing for Grouping and Unsupervised Texture Segmentation.
Comput. Vis. Image Underst., 1999

Model Selection in Clustering by Uniform Convergence Bounds.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Histogram Clustering for Unsupervised Image Segmentation.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
Competitive learning algorithms for robust vector quantization.
IEEE Trans. Signal Process., 1998

Unsupervised Texture Segmentation in a Deterministic Annealing Framework.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

Knowledge-Discovery: Wie können wir Muster und Strukturen in Daten zuverlässig erkennen?
Künstliche Intell., 1998

Dithered Color Quantization.
Comput. Graph. Forum, 1998

Unsupervised Learning for Robust Texture Segmentation.
Proceedings of the Performance Characterization in Computer Vision [9. Theoretical Foundations of Computer Vision, 1998

Visualizing Group Structure.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Multiscale Annealing for Real-Time Unsupervised Texture Segmentation.
Proceedings of the Sixth International Conference on Computer Vision (ICCV-98), 1998

On Spatial Quantization of Color Images.
Proceedings of the Computer Vision, 1998

Discrete Mixture Models for Unsupervised Image Segmentation.
Proceedings of the Mustererkennung 1998, 20. DAGM-Symposium, Stuttgart, 29. September, 1998

Stochastic Algorithms for Exploratory Data Analysis: Data Clustering and Data Visualization.
Proceedings of the Learning in Graphical Models, 1998

1997
Correction to "Pairwise Data Clustering by Deterministic Annealing".
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Pairwise Data Clustering by Deterministic Annealing.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Active Data Clustering.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Video coding by region-based motion compensation and spatio-temporal wavelet transform.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

An Optimization Approach to Unsupervised Hierarchical Texture Segmentation.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Robust vector quantization by competitive learning.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Multidimensional Scaling by Deterministic Annealing.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Deterministic Annealing for Unsupervised Texture Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Inferring Hierarchical Clustering Structures by Deterministic Annealing.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

Regularizing phase-based stereo.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Unsupervised segmentation of textured images by pairwise data clustering.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

An Annealed "Neural Gas" Network for Robust Vector Quantization.
Proceedings of the Artificial Neural Networks, 1996

1995
Komplexe lernende Systeme: der mobile Roboter RHINO.
Künstliche Intell., 1995

The Mobile Robot RHINO.
AI Mag., 1995

1994
Multidimensional Scaling and Data Clustering.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

A maximum entropy approach to pairwise data clustering.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Vector quantization with complexity costs.
IEEE Trans. Inf. Theory, 1993

Distortion Invariant Object Recognition in the Dynamic Link Architecture.
IEEE Trans. Computers, 1993

Complexity Optimized Data Clustering by Competitive Neural Networks.
Neural Comput., 1993

Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Central and Pairwise Data Clustering by Competitive Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Sensory segmentation with coupled neural oscillators.
Biol. Cybern., 1992

Complexity Optimized Vector Quantization: A Neutral Network Approach.
Proceedings of the IEEE Data Compression Conference, 1992

1990
Pattern Segmentation in Associative Memory.
Neural Comput., 1990

Size and distortion invariant object recognition by hierarchical graph matching.
Proceedings of the IJCNN 1990, 1990

1988
Neuronale Netzwerke als assoziative Speicher und als Systeme zur Mustererkennung.
PhD thesis, 1988

Invariant pattern recognition by means of fast synaptic plasticity.
Proceedings of International Conference on Neural Networks (ICNN'88), 1988


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