Joachim M. Buhmann

Mario Frank, Joachim M. Buhmann, David A. Basin: Role Mining with Probabilistic Models. ACM Trans. Inf. Syst. Secur. 15(4): 15 (2013)

Joachim M. Buhmann, Matús Mihalák, Rastislav Srámek, Peter Widmayer: Robust optimization in the presence of uncertainty. ITCS 2013: 505-514

Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann: Multi-Assignment Clustering for Boolean Data. Journal of Machine Learning Research 13: 459-489 (2012)

Morteza Haghir Chehreghani, Alberto Giovanni Busetto, Joachim M. Buhmann: Information Theoretic Model Validation for Spectral Clustering. Journal of Machine Learning Research - Proceedings Track 22: 495-503 (2012)

Joachim M. Buhmann, Morteza Haghir Chehreghani, Mario Frank, Andreas P. Streich: Information Theoretic Model Selection for Pattern Analysis. Journal of Machine Learning Research - Proceedings Track 27: 51-64 (2012)

Kay Henning Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey: Decoding the perception of pain from fMRI using multivariate pattern analysis. NeuroImage 63(3): 1162-1170 (2012)

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann: Learning Dictionaries With Bounded Self-Coherence. IEEE Signal Process. Lett. 19(12): 861-864 (2012)

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann: Speech Enhancement Using Generative Dictionary Learning. IEEE Transactions on Audio, Speech & Language Processing 20(6): 1698-1712 (2012)

Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann: Weakly supervised structured output learning for semantic segmentation. CVPR 2012: 845-852

Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari: Active learning for semantic segmentation with expected change. CVPR 2012: 3162-3169

Joachim M. Buhmann: Context Sensitive Information: Model Validation by Information Theory. ICPRAM (1) 2012

Ludwig M. Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann: The information content in sorting algorithms. ISIT 2012: 2746-2750

Dwarikanath Mahapatra, Peter Schueffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, Franciscus M. Vos: A Supervised Learning Based Approach to Detect Crohn's Disease in Abdominal MR Volumes. Abdominal Imaging 2012: 97-106

Dwarikanath Mahapatra, Joachim M. Buhmann: Cardiac LV and RV Segmentation Using Mutual Context Information. MLMI 2012: 201-209

Dmitry Laptev, Alexander Vezhnevets, Sarvesh Dwivedi, Joachim M. Buhmann: Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. MICCAI (1) 2012: 323-330

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann: Learning Dictionaries with Bounded Self-Coherence. CoRR abs/1205.6210 (2012)

Mario Frank, Joachim M. Buhmann, David A. Basin: Role Mining with Probabilistic Models. CoRR abs/1212.4775 (2012)

Thomas J. Fuchs, Joachim M. Buhmann: Computational pathology: Challenges and promises for tissue analysis. Comp. Med. Imag. and Graph. 35(7-8): 515-530 (2011)

Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann: Proteome Coverage Prediction for Integrated Proteomics Datasets. Journal of Computational Biology 18(3): 283-293 (2011)

Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan: Model-based feature construction for multivariate decoding. NeuroImage 56(2): 601-615 (2011)

Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan: Generative Embedding for Model-Based Classification of fMRI Data. PLoS Computational Biology 7(6) (2011)

Gian-Marco Baschera, Alberto Giovanni Busetto, Severin Klingler, Joachim M. Buhmann, Markus H. Gross: Modeling Engagement Dynamics in Spelling Learning. AIED 2011: 31-38

Alexander Vezhnevets, Joachim M. Buhmann: Agnostic Domain Adaptation. DAGM-Symposium 2011: 376-385

Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann: Predicting Graduate-level Performance from Undergraduate Achievements. EDM 2011: 357-358

Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann: Weakly supervised semantic segmentation with a multi-image model. ICCV 2011: 643-650

Mario Frank, Joachim M. Buhmann: Selecting the rank of truncated SVD by maximum approximation capacity. ISIT 2011: 1036-1040

Joachim M. Buhmann: Context Sensitive Information: Model Validation by Information Theory. MCPR 2011: 12-21

Mario Frank, Morteza Haghir Chehreghani, Joachim M. Buhmann: The Minimum Transfer Cost Principle for Model-Order Selection. ECML/PKDD (1) 2011: 423-438

Ludwig M. Busse, Joachim M. Buhmann: Model-Based Clustering of Inhomogeneous Paired Comparison Data. SIMBAD 2011: 207-221

Mario Frank, Joachim M. Buhmann: Selecting the rank of SVD by Maximum Approximation Capacity. CoRR abs/1102.3176 (2011)

Sudhir Raman, Thomas J. Fuchs, Peter J. Wild, Edgar Dahl, Joachim M. Buhmann, Volker Roth: Infinite mixture-of-experts model for sparse survival regression with application to breast cancer. BMC Bioinformatics 11(S-8): S8 (2010)

Björn Ommer, Joachim M. Buhmann: Learning the Compositional Nature of Visual Object Categories for Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 32(3): 501-516 (2010)

Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann: Neuron geometry extraction by perceptual grouping in ssTEM images. CVPR 2010: 2902-2909

Alexander Vezhnevets, Joachim M. Buhmann: Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. CVPR 2010: 3249-3256

Peter J. Schüffler, Thomas J. Fuchs, Cheng Soon Ong, Volker Roth, Joachim M. Buhmann: Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma. DAGM-Symposium 2010: 202-211

Yvonne Moh, Joachim M. Buhmann: Regularized online learning of pseudometrics. ICASSP 2010: 1990-1993

Christian D. Sigg, Tomas Dikk, Joachim M. Buhmann: Speech enhancement with sparse coding in learned dictionaries. ICASSP 2010: 4758-4761

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann: The Balanced Accuracy and Its Posterior Distribution. ICPR 2010: 3121-3124

Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann: The Binormal Assumption on Precision-Recall Curves. ICPR 2010: 4263-4266

Joachim M. Buhmann: Information theoretic model validation for clustering. ISIT 2010: 1398-1402

Verena Kaynig, Thomas J. Fuchs, Joachim M. Buhmann: Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data. MICCAI (2) 2010: 209-216

Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann: Entropy and Margin Maximization for Structured Output Learning. ECML/PKDD (3) 2010: 83-98

Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann: Proteome Coverage Prediction for Integrated Proteomics Datasets. RECOMB 2010: 96-109

Mario Frank, Joachim M. Buhmann, David A. Basin: On the definition of role mining. SACMAT 2010: 35-44

Joachim M. Buhmann: Information theoretic model validation for clustering. CoRR abs/1006.0375 (2010)

Bernd Fischer, Volker Roth, Joachim M. Buhmann: Adaptive bandwidth selection for biomarker discovery in mass spectrometry. Artificial Intelligence in Medicine 45(2-3): 207-214 (2009)

Manfred Claassen, Ruedi Aebersold, Joachim M. Buhmann: Proteome coverage prediction with infinite Markov models. Bioinformatics 25(12) (2009)

Björn Ommer, Theodor Mader, Joachim M. Buhmann: Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. International Journal of Computer Vision 83(1): 57-71 (2009)

Alberto Giovanni Busetto, Joachim M. Buhmann: Structure Identification by Optimized Interventions. Journal of Machine Learning Research - Proceedings Track 5: 57-64 (2009)

Patrick Pletscher, Cheng Soon Ong, Joachim M. Buhmann: Spanning Tree Approximations for Conditional Random Fields. Journal of Machine Learning Research - Proceedings Track 5: 408-415 (2009)

Mario Frank, Andreas P. Streich, David A. Basin, Joachim M. Buhmann: A probabilistic approach to hybrid role mining. ACM Conference on Computer and Communications Security 2009: 101-111

Alberto Giovanni Busetto, Joachim M. Buhmann: Stable Bayesian Parameter Estimation for Biological Dynamical Systems. CSE (1) 2009: 148-157

Yvonne Moh, Joachim M. Buhmann: Manifold regularization for semi-supervised sequential learning. ICASSP 2009: 1617-1620

Alberto Giovanni Busetto, Cheng Soon Ong, Joachim M. Buhmann: Optimized expected information gain for nonlinear dynamical systems. ICML 2009: 13

Andreas P. Streich, Mario Frank, David A. Basin, Joachim M. Buhmann: Multi-assignment clustering for Boolean data. ICML 2009: 122

Thomas J. Fuchs, Johannes Haybaeck, Peter J. Wild, Mathias Heikenwalder, Holger Moch, Adriano Aguzzi, Joachim M. Buhmann: Randomized Tree Ensembles for Object Detection in Computational Pathology. ISVC (1) 2009: 367-378

Xenofon E. Floros, Thomas J. Fuchs, Markus P. Rechsteiner, Giatgen Spinas, Holger Moch, Joachim M. Buhmann: Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue. MICCAI (1) 2009: 633-640

Peter Orbanz, Joachim M. Buhmann: Nonparametric Bayesian Image Segmentation. International Journal of Computer Vision 77(1-3): 25-45 (2008)

Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller: On Relevant Dimensions in Kernel Feature Spaces. Journal of Machine Learning Research 9: 1875-1908 (2008)

Mario Frank, David A. Basin, Joachim M. Buhmann: A class of probabilistic models for role engineering. ACM Conference on Computer and Communications Security 2008: 299-310

Verena Kaynig, Bernd Fischer, Joachim M. Buhmann: Probabilistic image registration and anomaly detection by nonlinear warping. CVPR 2008

Thomas J. Fuchs, Tilman Lange, Peter J. Wild, Holger Moch, Joachim M. Buhmann: Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma. DAGM-Symposium 2008: 173-182

Yvonne Moh, Wolfgang Einhäuser, Joachim M. Buhmann: Automatic Detection of Learnability under Unreliable and Sparse User Feedback. DAGM-Symposium 2008: 224-233

Yvonne Moh, Peter Orbanz, Joachim M. Buhmann: Music preference learning with partial information. ICASSP 2008: 2021-2024

Christian D. Sigg, Joachim M. Buhmann: Expectation-maximization for sparse and non-negative PCA. ICML 2008: 960-967

Yvonne Moh, Joachim M. Buhmann: Kernel Expansion for Online Preference Tracking. ISMIR 2008: 167-172

Thomas J. Fuchs, Peter J. Wild, Holger Moch, Joachim M. Buhmann: Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients. MICCAI (2) 2008: 1-8

Andreas P. Streich, Joachim M. Buhmann: Classification of Multi-labeled Data: A Generative Approach. ECML/PKDD (2) 2008: 390-405

Franz F. Roos, Riko Jacob, Jonas Grossmann, Bernd Fischer, Joachim M. Buhmann, Wilhelm Gruissem, Sacha Baginsky, Peter Widmayer: PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra. Bioinformatics 23(22): 3016-3023 (2007)

Bernd Fischer, Volker Roth, Joachim M. Buhmann: Time-series alignment by non-negative multiple generalized canonical correlation analysis. BMC Bioinformatics 8(S-10) (2007)

Thomas Zöller, Joachim M. Buhmann: Robust Image Segmentation Using Resampling and Shape Constraints. IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1147-1164 (2007)

Björn Ommer, Joachim M. Buhmann: Learning the Compositional Nature of Visual Objects. CVPR 2007

Tilman Lange, Joachim M. Buhmann: Regularized Data Fusion Improves Image Segmentation. DAGM-Symposium 2007: 234-243

Tilman Lange, Joachim M. Buhmann: Kernel-Based Grouping of Histogram Data. ECML 2007: 632-639

Björn Ommer, Joachim M. Buhmann: Compositional Object Recognition, Segmentation, and Tracking in Video. EMMCVPR 2007: 318-333

Peter Orbanz, Samuel Braendle, Joachim M. Buhmann: Bayesian Order-Adaptive Clustering for Video Segmentation. EMMCVPR 2007: 334-349

Ludwig M. Busse, Peter Orbanz, Joachim M. Buhmann: Cluster analysis of heterogeneous rank data. ICML 2007: 113-120

Joachim M. Buhmann: Complex Statistical Models for Object Recognition and Mass Spectrometry. PRIS 2007: 3-8

Bernd Fischer, Volker Roth, Joachim M. Buhmann: Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis. WILF 2007: 505-511

Julian Laub, Volker Roth, Joachim M. Buhmann, Klaus-Robert Müller: On the information and representation of non-Euclidean pairwise data. Pattern Recognition 39(10): 1815-1826 (2006)

Andrew Rabinovich, Serge Belongie, Tilman Lange, Joachim M. Buhmann: Model Order Selection and Cue Combination for Image Segmentation. CVPR (1) 2006: 1130-1137

Mikio L. Braun, Tilman Lange, Joachim M. Buhmann: Model Selection in Kernel Methods Based on a Spectral Analysis of Label Information. DAGM-Symposium 2006: 344-353

Hansruedi Peter, Bernd Fischer, Joachim M. Buhmann: Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions. DAGM-Symposium 2006: 424-433

Peter Wey, Bernd Fischer, Herbert Bay, Joachim M. Buhmann: Dense Stereo by Triangular Meshing and Cross Validation. DAGM-Symposium 2006: 708-717

Björn Ommer, Joachim M. Buhmann: Learning Compositional Categorization Models. ECCV (3) 2006: 316-329

Peter Orbanz, Joachim M. Buhmann: Smooth Image Segmentation by Nonparametric Bayesian Inference. ECCV (1) 2006: 444-457

Isabelle Guyon, Amir Reza Saffari Azar Alamdari, Gideon Dror, Joachim M. Buhmann: PerformancePrediction Challenge. IJCNN 2006: 1649-1656

Bernd Fischer, Jonas Grossmann, Volker Roth, Wilhelm Gruissem, Sacha Baginsky, Joachim M. Buhmann: Semi-supervised LC/MS alignment for differential proteomics. ISMB (Supplement of Bioinformatics) 2006: 132-140

Mikio L. Braun, Joachim M. Buhmann, Klaus-Robert Müller: Denoising and Dimension Reduction in Feature Space. NIPS 2006: 185-192

Joachim M. Buhmann, Tilman Lange, Ulrich Ramacher: Image Segmentation by Networks of Spiking Neurons. Neural Computation 17(5): 1010-1031 (2005)

Tilman Lange, Martin H. C. Law, Anil K. Jain, Joachim M. Buhmann: Learning with Constrained and Unlabelled Data. CVPR (1) 2005: 731-738

Björn Ommer, Joachim M. Buhmann: Object Categorization by Compositional Graphical Models. EMMCVPR 2005: 235-250

Peter Orbanz, Joachim M. Buhmann: SAR images as mixtures of Gaussian mixtures. ICIP (2) 2005: 209-212

Tilman Lange, Joachim M. Buhmann: Combining partitions by probabilistic label aggregation. KDD 2005: 147-156

Tilman Lange, Joachim M. Buhmann: Fusion of Similarity Data in Clustering. NIPS 2005

Tilman Lange, Volker Roth, Mikio L. Braun, Joachim M. Buhmann: Stability-Based Validation of Clustering Solutions. Neural Computation 16(6): 1299-1323 (2004)

Lothar Hermes, Joachim M. Buhmann: Boundary-constrained agglomerative segmentation. IEEE T. Geoscience and Remote Sensing 42(9): 1984-1995 (2004)

Thomas Zöller, Joachim M. Buhmann: Shape Constrained Image Segmentation by Parametric Distributional Clustering. CVPR (1) 2004: 386-393

Anil K. Jain, Alexander P. Topchy, Martin H. C. Law, Joachim M. Buhmann: Landscape of Clustering Algorithms. ICPR (1) 2004: 260-263

Bernd Fischer, Volker Roth, Joachim M. Buhmann, Jonas Grossmann, Sacha Baginsky, Wilhelm Gruissem, Franz F. Roos, Peter Widmayer: A Hidden Markov Model for de Novo Peptide Sequencing. NIPS 2004

Joachim M. Buhmann: Clustering in Computer Vision and Data Analysis. PRIS 2004: 3

Bernd Fischer, Joachim M. Buhmann: Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 513-518 (2003)

Bernd Fischer, Joachim M. Buhmann: Bagging for Path-Based Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1411-1415 (2003)

Volker Roth, Julian Laub, Motoaki Kawanabe, Joachim M. Buhmann: Optimal Cluster Preserving Embedding of Nonmetric Proximity Data. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1540-1551 (2003)

Lothar Hermes, Joachim M. Buhmann: A minimum entropy approach to adaptive image polygonization. IEEE Transactions on Image Processing 12(10): 1243-1258 (2003)

Wei-Jun Chen, Joachim M. Buhmann: A New Distance Measure for Probabilistic Shape Modeling. DAGM-Symposium 2003: 507-514

Lothar Hermes, Joachim M. Buhmann: Semi-supervised Image Segmentation by Parametric Distributional Clustering. EMMCVPR 2003: 229-245

Björn Ommer, Joachim M. Buhmann: A Compositionally Architecture for Perceptual Feature Grouping. EMMCVPR 2003: 275-290

Bernd Fischer, Volker Roth, Joachim M. Buhmann: Clustering with the Connectivity Kernel. NIPS 2003

Zvika Marx, Ido Dagan, Joachim M. Buhmann, Eli Shamir: Coupled Clustering: A Method for Detecting Structural Correspondence. Journal of Machine Learning Research 3: 747-780 (2002)

Bernd Fischer, Joachim M. Buhmann: Data Resampling for Path Based Clustering. DAGM-Symposium 2002: 206-214

Lothar Hermes, Thomas Zöller, Joachim M. Buhmann: Parametric Distributional Clustering for Image Segmentation. ECCV (3) 2002: 577-591

Volker Roth, Mikio L. Braun, Tilman Lange, Joachim M. Buhmann: Stability-Based Model Order Selection in Clustering with Applications to Gene Expression Data. ICANN 2002: 607-612

Thomas Zöller, Lothar Hermes, Joachim M. Buhmann: Combined Color And Texture Segmentation by Parametric Distributional Clustering. ICPR (2) 2002: 627-630

Tilman Lange, Mikio L. Braun, Volker Roth, Joachim M. Buhmann: Stability-Based Model Selection. NIPS 2002: 617-624

Volker Roth, Julian Laub, Joachim M. Buhmann, Klaus-Robert Müller: Going Metric: Denoising Pairwise Data. NIPS 2002: 817-824

Yossi Rubner, Jan Puzicha, Carlo Tomasi, Joachim M. Buhmann: Empirical Evaluation of Dissimilarity Measures for Color and Texture. Computer Vision and Image Understanding 84(1): 25-43 (2001)

Lothar Hermes, Joachim M. Buhmann: Contextual Classification by Entropy-Based Polygonization. CVPR (2) 2001: 442-447

Markus Suing, Lothar Hermes, Joachim M. Buhmann: A New Contour-Based Approach to Object Recognition for Assembly Line Robots. DAGM-Symposium 2001: 329-336

Bernd Fischer, Thomas Zöller, Joachim M. Buhmann: Path Based Pairwise Data Clustering with Application to Texture Segmentation. EMMCVPR 2001: 235-250

Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios, Frans Coetzee, Joachim M. Buhmann: Topology Free Hidden Markov Models: Application to Background Modeling. ICCV 2001: 294-301

Zvika Marx, Ido Dagan, Joachim M. Buhmann: Coupled Clustering: a Method for Detecting Structural Correspondence. ICML 2001: 353-360

Mikio L. Braun, Joachim M. Buhmann: The Noisy Euclidean Traveling Salesman Problem and Learning. NIPS 2001: 351-358

Zvika Marx, Ido Dagan, Joachim M. Buhmann: Coupled Clustering: a Method for Detecting Structural Correspondence. CoRR cs.LG/0107032 (2001)

Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann: A theory of proximity based clustering: structure detection by optimization. Pattern Recognition 33(4): 617-634 (2000)

Hansjörg Klock, Joachim M. Buhmann: Data visualization by multidimensional scaling: a deterministic annealing approach. Pattern Recognition 33(4): 651-669 (2000)

Jan Puzicha, Marcus Held, Jens Ketterer, Joachim M. Buhmann, Dieter W. Fellner: On spatial quantization of color images. IEEE Transactions on Image Processing 9(4): 666-682 (2000)

Stefan Will, Lothar Hermes, Joachim M. Buhmann, Jan Puzicha: On Learning Optimal Texture Edge Detectors. ICIP 2000: 877-880

Joachim M. Buhmann, Thomas Zöller: Active Learning for Hierarchical Pairwise Data Clustering. ICPR 2000: 2186-2189

Lothar Hermes, Joachim M. Buhmann: Feature Selection for Support Vector Machines. ICPR 2000: 2712-2715

Jan Puzicha, Joachim M. Buhmann: Multiscale Annealing for Grouping and Unsupervised Texture Segmentation. Computer Vision and Image Understanding 76(3): 213-230 (1999)

Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann: Histogram clustering for unsupervised segmentation and image retrieval. Pattern Recognition Letters 20(9): 899-909 (1999)

Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann: Histogram Clustering for Unsupervised Image Segmentation. CVPR 1999: 2602-2608

Jan Puzicha, Yossi Rubner, Carlo Tomasi, Joachim M. Buhmann: Empirical Evaluation of Dissimilarity Measures for Color and Texture. ICCV 1999: 1165-1172

Joachim M. Buhmann, Marcus Held: Model Selection in Clustering by Uniform Convergence Bounds. NIPS 1999: 216-222

Wolfgang Förstner, Joachim M. Buhmann, Annett Faber, Petko Faber (Eds.): Mustererkennung 1999, 21. DAGM-Symposium, Bonn, 15.-17. September 1999, Proceedings. Informatik Aktuell, Springer 1999, isbn 3-540-66381-9

Joachim M. Buhmann, Dieter W. Fellner, Marcus Held, Jens Ketterer, Jan Puzicha: Dithered Color Quantization. Comput. Graph. Forum 17(3): 219-232 (1998)

Joachim M. Buhmann: Knowledge-Discovery: Wie können wir Muster und Strukturen in Daten zuverlässig erkennen? KI 12(1): 37 (1998)

Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann: Unsupervised Texture Segmentation in a Deterministic Annealing Framework. IEEE Trans. Pattern Anal. Mach. Intell. 20(8): 803-818 (1998)

Thomas Hofmann, Joachim M. Buhmann: Competitive learning algorithms for robust vector quantization. IEEE Transactions on Signal Processing 46(6): 1665-1675 (1998)

Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann: Discrete Mixture Models for Unsupervised Image Segmentation. DAGM-Symposium 1998: 135-142

Jens Ketterer, Jan Puzicha, Marcus Held, Martin Fischer, Joachim M. Buhmann, Dieter W. Fellner: On Spatial Quantization of Color Images. ECCV (1) 1998: 563-577

Jan Puzicha, Joachim M. Buhmann: Multiscale Annealing for Real-Time Unsupervised Texture Segmentation. ICCV 1998: 267-273

Marcus Held, Jan Puzicha, Joachim M. Buhmann: Visualizing Group Structure. NIPS 1998: 452-458

Joachim M. Buhmann, Jan Puzicha: Unsupervised Learning for Robust Texture Segmentation. Theoretical Foundations of Computer Vision 1998: 195-209

Thomas Hofmann, Joachim M. Buhmann: Pairwise Data Clustering by Deterministic Annealing. IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 1-14 (1997)

Thomas Hofmann, Joachim M. Buhmann: Correction to "Pairwise Data Clustering by Deterministic Annealing". IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 192 (1997)

Jan Puzicha, Thomas Hofmann, Joachim M. Buhmann: Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval. CVPR 1997: 267-272

Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann: Deterministic Annealing for Unsupervised Texture Segmentation. EMMCVPR 1997: 213-228

Hansjörg Klock, Joachim M. Buhmann: Multidimensional Scaling by Deterministic Annealing. EMMCVPR 1997: 245-260

Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann: An Optimization Approach to Unsupervised Hierarchical Texture Segmentation. ICIP (3) 1997: 213-216

Andreas Polzer, Hansjörg Klock, Joachim M. Buhmann: Video coding by region-based motion compensation and spatio-temporal wavelet transform. ICIP (3) 1997: 436-439

Hansjörg Klock, Andreas Polzer, Joachim M. Buhmann: Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video. ICIP (2) 1997: 776-779

Marcus Held, Joachim M. Buhmann: Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis. NIPS 1997

Thomas Hofmann, Joachim M. Buhmann: Active Data Clustering. NIPS 1997

Thomas Hofmann, Joachim M. Buhmann: An Annealed ``Neural Gas'' Network for Robust Vector Quantization. ICANN 1996: 151-156

Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann: Unsupervised segmentation of textured images by pairwise data clustering. ICIP (3) 1996: 137-140

Thomas Hofmann, Joachim M. Buhmann: Inferring Hierarchical Clustering Structures by Deterministic Annealing. KDD 1996: 363-366

Joachim M. Buhmann, Wolfram Burgard, Armin B. Cremers, Dieter Fox, Thomas Hofmann, Frank E. Schneider, Jiannis Strikos, Sebastian Thrun: The Mobile Robot RHINO. AI Magazine 16(2): 31-38 (1995)

Armin B. Cremers, Joachim M. Buhmann, Sebastian Thrun: Komplexe lernende Systeme: der mobile Roboter RHINO. KI 9(2): 48-49 (1995)

Thomas Hofmann, Joachim M. Buhmann: Multidimensional Scaling and Data Clustering. NIPS 1994: 459-466

Joachim M. Buhmann, Hans Kühnel: Complexity Optimized Data Clustering by Competitive Neural Networks. Neural Computation 5(1): 75-88 (1993)

Martin Lades, Jan C. Vorbrüggen, Joachim M. Buhmann, Jörg Lange, Christoph von der Malsburg, Rolf P. Würtz, Wolfgang Konen: Distortion Invariant Object Recognition in the Dynamic Link Architecture. IEEE Trans. Computers 42(3): 300-311 (1993)

Joachim M. Buhmann, Hans Kühnel: Vector quantization with complexity costs. IEEE Transactions on Information Theory 39(4): 1133-1145 (1993)

Joachim M. Buhmann, Thomas Hofmann: Central and Pairwise Data Clustering by Competitive Neural Networks. NIPS 1993: 104-111

Joachim M. Buhmann, Martin Lades, Frank H. Eeckman: Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina. NIPS 1993: 769-776

Christoph von der Malsburg, Joachim M. Buhmann: Sensory segmentation with coupled neural oscillators. Biological Cybernetics 67(3): 233-242 (1992)

Joachim M. Buhmann, Hans Kühnel: Complexity Optimized Vector Quantization: A Neutral Network Approach. Data Compression Conference 1992: 12-21