| 2008 |
|---|
| 102 | EE | 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 |
| 101 | EE | Verena Kaynig,
Bernd Fischer,
Joachim M. Buhmann:
Probabilistic image registration and anomaly detection by nonlinear warping.
CVPR 2008 |
| 100 | EE | 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 |
| 99 | EE | Yvonne Moh,
Wolfgang Einhäuser,
Joachim M. Buhmann:
Automatic Detection of Learnability under Unreliable and Sparse User Feedback.
DAGM-Symposium 2008: 224-233 |
| 98 | EE | Andreas P. Streich,
Joachim M. Buhmann:
Classification of Multi-labeled Data: A Generative Approach.
ECML/PKDD (2) 2008: 390-405 |
| 97 | EE | Christian D. Sigg,
Joachim M. Buhmann:
Expectation-maximization for sparse and non-negative PCA.
ICML 2008: 960-967 |
| 96 | EE | 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 |
| 95 | EE | Peter Orbanz,
Joachim M. Buhmann:
Nonparametric Bayesian Image Segmentation.
International Journal of Computer Vision 77(1-3): 25-45 (2008) |
| 2007 |
|---|
| 94 | EE | Björn Ommer,
Joachim M. Buhmann:
Learning the Compositional Nature of Visual Objects.
CVPR 2007 |
| 93 | EE | Tilman Lange,
Joachim M. Buhmann:
Regularized Data Fusion Improves Image Segmentation.
DAGM-Symposium 2007: 234-243 |
| 92 | EE | Tilman Lange,
Joachim M. Buhmann:
Kernel-Based Grouping of Histogram Data.
ECML 2007: 632-639 |
| 91 | EE | Björn Ommer,
Joachim M. Buhmann:
Compositional Object Recognition, Segmentation, and Tracking in Video.
EMMCVPR 2007: 318-333 |
| 90 | EE | Peter Orbanz,
Samuel Braendle,
Joachim M. Buhmann:
Bayesian Order-Adaptive Clustering for Video Segmentation.
EMMCVPR 2007: 334-349 |
| 89 | EE | Ludwig M. Busse,
Peter Orbanz,
Joachim M. Buhmann:
Cluster analysis of heterogeneous rank data.
ICML 2007: 113-120 |
| 88 | | Joachim M. Buhmann:
Complex Statistical Models for Object Recognition and Mass Spectrometry.
PRIS 2007: 3-8 |
| 87 | EE | Bernd Fischer,
Volker Roth,
Joachim M. Buhmann:
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis.
WILF 2007: 505-511 |
| 86 | EE | 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) |
| 85 | EE | Thomas Zöller,
Joachim M. Buhmann:
Robust Image Segmentation Using Resampling and Shape Constraints.
IEEE Trans. Pattern Anal. Mach. Intell. 29(7): 1147-1164 (2007) |
| 2006 |
|---|
| 84 | EE | Andrew Rabinovich,
Serge Belongie,
Tilman Lange,
Joachim M. Buhmann:
Model Order Selection and Cue Combination for Image Segmentation.
CVPR (1) 2006: 1130-1137 |
| 83 | EE | 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 |
| 82 | EE | Hansruedi Peter,
Bernd Fischer,
Joachim M. Buhmann:
Probabilistic De Novo Peptide Sequencing with Doubly Charged Ions.
DAGM-Symposium 2006: 424-433 |
| 81 | EE | Peter Wey,
Bernd Fischer,
Herbert Bay,
Joachim M. Buhmann:
Dense Stereo by Triangular Meshing and Cross Validation.
DAGM-Symposium 2006: 708-717 |
| 80 | EE | Peter Orbanz,
Joachim M. Buhmann:
Smooth Image Segmentation by Nonparametric Bayesian Inference.
ECCV (1) 2006: 444-457 |
| 79 | EE | Björn Ommer,
Joachim M. Buhmann:
Learning Compositional Categorization Models.
ECCV (3) 2006: 316-329 |
| 78 | EE | Isabelle Guyon,
Amir Reza Saffari Azar Alamdari,
Gideon Dror,
Joachim M. Buhmann:
PerformancePrediction Challenge.
IJCNN 2006: 1649-1656 |
| 77 | EE | 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 |
| 76 | EE | Mikio L. Braun,
Joachim M. Buhmann,
Klaus-Robert Müller:
Denoising and Dimension Reduction in Feature Space.
NIPS 2006: 185-192 |
| 75 | EE | 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) |
| 2005 |
|---|
| 74 | EE | Tilman Lange,
Martin H. C. Law,
Anil K. Jain,
Joachim M. Buhmann:
Learning with Constrained and Unlabelled Data.
CVPR (1) 2005: 731-738 |
| 73 | EE | Björn Ommer,
Joachim M. Buhmann:
Object Categorization by Compositional Graphical Models.
EMMCVPR 2005: 235-250 |
| 72 | EE | Peter Orbanz,
Joachim M. Buhmann:
SAR images as mixtures of Gaussian mixtures.
ICIP (2) 2005: 209-212 |
| 71 | EE | Tilman Lange,
Joachim M. Buhmann:
Combining partitions by probabilistic label aggregation.
KDD 2005: 147-156 |
| 70 | EE | Tilman Lange,
Joachim M. Buhmann:
Fusion of Similarity Data in Clustering.
NIPS 2005 |
| 69 | EE | Joachim M. Buhmann,
Tilman Lange,
Ulrich Ramacher:
Image Segmentation by Networks of Spiking Neurons.
Neural Computation 17(5): 1010-1031 (2005) |
| 2004 |
|---|
| 68 | EE | Thomas Zöller,
Joachim M. Buhmann:
Shape Constrained Image Segmentation by Parametric Distributional Clustering.
CVPR (1) 2004: 386-393 |
| 67 | EE | Anil K. Jain,
Alexander P. Topchy,
Martin H. C. Law,
Joachim M. Buhmann:
Landscape of Clustering Algorithms.
ICPR (1) 2004: 260-263 |
| 66 | EE | 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 |
| 65 | | Joachim M. Buhmann:
Clustering in Computer Vision and Data Analysis.
PRIS 2004: 3 |
| 64 | EE | Tilman Lange,
Volker Roth,
Mikio L. Braun,
Joachim M. Buhmann:
Stability-Based Validation of Clustering Solutions.
Neural Computation 16(6): 1299-1323 (2004) |
| 2003 |
|---|
| 63 | EE | Wei-Jun Chen,
Joachim M. Buhmann:
A New Distance Measure for Probabilistic Shape Modeling.
DAGM-Symposium 2003: 507-514 |
| 62 | EE | Lothar Hermes,
Joachim M. Buhmann:
Semi-supervised Image Segmentation by Parametric Distributional Clustering.
EMMCVPR 2003: 229-245 |
| 61 | EE | Björn Ommer,
Joachim M. Buhmann:
A Compositionally Architecture for Perceptual Feature Grouping.
EMMCVPR 2003: 275-290 |
| 60 | EE | Bernd Fischer,
Volker Roth,
Joachim M. Buhmann:
Clustering with the Connectivity Kernel.
NIPS 2003 |
| 59 | EE | Bernd Fischer,
Joachim M. Buhmann:
Bagging for Path-Based Clustering.
IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1411-1415 (2003) |
| 58 | EE | 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) |
| 57 | EE | 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) |
| 56 | EE | Lothar Hermes,
Joachim M. Buhmann:
A minimum entropy approach to adaptive image polygonization.
IEEE Transactions on Image Processing 12(10): 1243-1258 (2003) |
| 2002 |
|---|
| 55 | EE | Bernd Fischer,
Joachim M. Buhmann:
Data Resampling for Path Based Clustering.
DAGM-Symposium 2002: 206-214 |
| 54 | EE | Lothar Hermes,
Thomas Zöller,
Joachim M. Buhmann:
Parametric Distributional Clustering for Image Segmentation.
ECCV (3) 2002: 577-591 |
| 53 | EE | 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 |
| 52 | EE | Thomas Zöller,
Lothar Hermes,
Joachim M. Buhmann:
Combined Color And Texture Segmentation by Parametric Distributional Clustering.
ICPR (2) 2002: 627-630 |
| 51 | EE | Tilman Lange,
Mikio L. Braun,
Volker Roth,
Joachim M. Buhmann:
Stability-Based Model Selection.
NIPS 2002: 617-624 |
| 50 | EE | Volker Roth,
Julian Laub,
Joachim M. Buhmann,
Klaus-Robert Müller:
Going Metric: Denoising Pairwise Data.
NIPS 2002: 817-824 |
| 49 | EE | 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) |
| 2001 |
|---|
| 48 | EE | Lothar Hermes,
Joachim M. Buhmann:
Contextual Classification by Entropy-Based Polygonization.
CVPR (2) 2001: 442-447 |
| 47 | EE | Markus Suing,
Lothar Hermes,
Joachim M. Buhmann:
A New Contour-Based Approach to Object Recognition for Assembly Line Robots.
DAGM-Symposium 2001: 329-336 |
| 46 | EE | Bernd Fischer,
Thomas Zöller,
Joachim M. Buhmann:
Path Based Pairwise Data Clustering with Application to Texture Segmentation.
EMMCVPR 2001: 235-250 |
| 45 | | Bjoern Stenger,
Visvanathan Ramesh,
Nikos Paragios,
Frans Coetzee,
Joachim M. Buhmann:
Topology Free Hidden Markov Models: Application to Background Modeling.
ICCV 2001: 294-301 |
| 44 | | Zvika Marx,
Ido Dagan,
Joachim M. Buhmann:
Coupled Clustering: a Method for Detecting Structural Correspondence.
ICML 2001: 353-360 |
| 43 | EE | Mikio L. Braun,
Joachim M. Buhmann:
The Noisy Euclidean Traveling Salesman Problem and Learning.
NIPS 2001: 351-358 |
| 42 | EE | Zvika Marx,
Ido Dagan,
Joachim M. Buhmann:
Coupled Clustering: a Method for Detecting Structural Correspondence
CoRR cs.LG/0107032: (2001) |
| 41 | EE | 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) |
| 2000 |
|---|
| 40 | | Stefan Will,
Lothar Hermes,
Joachim M. Buhmann,
Jan Puzicha:
On Learning Optimal Texture Edge Detectors.
ICIP 2000 |
| 39 | EE | Joachim M. Buhmann,
Thomas Zöller:
Active Learning for Hierarchical Pairwise Data Clustering.
ICPR 2000: 2186-2189 |
| 38 | EE | Lothar Hermes,
Joachim M. Buhmann:
Feature Selection for Support Vector Machines.
ICPR 2000: 2712-2715 |
| 37 | EE | 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) |
| 36 | EE | Jan Puzicha,
Thomas Hofmann,
Joachim M. Buhmann:
A theory of proximity based clustering: structure detection by optimization.
Pattern Recognition 33(4): 617-634 (2000) |
| 35 | EE | Hansjörg Klock,
Joachim M. Buhmann:
Data visualization by multidimensional scaling: a deterministic annealing approach.
Pattern Recognition 33(4): 651-669 (2000) |
| 1999 |
|---|
| 34 | | Wolfgang Förstner,
Joachim M. Buhmann,
Annett Faber,
Petko Faber:
Mustererkennung 1999, 21. DAGM-Symposium, Bonn, 15.-17. September 1999, Proceedings
Springer 1999 |
| 33 | EE | Jan Puzicha,
Joachim M. Buhmann,
Thomas Hofmann:
Histogram Clustering for Unsupervised Image Segmentation.
CVPR 1999: 2602-2608 |
| 32 | EE | Jan Puzicha,
Yossi Rubner,
Carlo Tomasi,
Joachim M. Buhmann:
Empirical Evaluation of Dissimilarity Measures for Color and Texture.
ICCV 1999: 1165-1172 |
| 31 | EE | Joachim M. Buhmann,
Marcus Held:
Model Selection in Clustering by Uniform Convergence Bounds.
NIPS 1999: 216-222 |
| 30 | EE | Jan Puzicha,
Joachim M. Buhmann:
Multiscale Annealing for Grouping and Unsupervised Texture Segmentation.
Computer Vision and Image Understanding 76(3): 213-230 (1999) |
| 29 | EE | Jan Puzicha,
Thomas Hofmann,
Joachim M. Buhmann:
Histogram clustering for unsupervised segmentation and image retrieval.
Pattern Recognition Letters 20(9): 899-909 (1999) |
| 1998 |
|---|
| 28 | | Jan Puzicha,
Joachim M. Buhmann,
Thomas Hofmann:
Discrete Mixture Models for Unsupervised Image Segmentation.
DAGM-Symposium 1998: 135-142 |
| 27 | EE | 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 |
| 26 | | Jan Puzicha,
Joachim M. Buhmann:
Multiscale Annealing for Real-Time Unsupervised Texture Segmentation.
ICCV 1998: 267-273 |
| 25 | EE | Marcus Held,
Jan Puzicha,
Joachim M. Buhmann:
Visualizing Group Structure.
NIPS 1998: 452-458 |
| 24 | | Joachim M. Buhmann,
Jan Puzicha:
Unsupervised Learning for Robust Texture Segmentation.
Theoretical Foundations of Computer Vision 1998: 195-209 |
| 23 | | Joachim M. Buhmann,
Dieter W. Fellner,
Marcus Held,
Jens Ketterer,
Jan Puzicha:
Dithered Color Quantization.
Comput. Graph. Forum 17(3): 219-232 (1998) |
| 22 | EE | 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) |
| 21 | | Joachim M. Buhmann:
Knowledge-Discovery: Wie können wir Muster und Strukturen in Daten zuverlässig erkennen?
KI 12(1): 37 (1998) |
| 1997 |
|---|
| 20 | EE | Jan Puzicha,
Thomas Hofmann,
Joachim M. Buhmann:
Non-parametric Similarity Measures for Unsupervised Texture Segmentation and Image Retrieval.
CVPR 1997: 267-272 |
| 19 | | Thomas Hofmann,
Jan Puzicha,
Joachim M. Buhmann:
Deterministic Annealing for Unsupervised Texture Segmentation.
EMMCVPR 1997: 213-228 |
| 18 | | Hansjörg Klock,
Joachim M. Buhmann:
Multidimensional Scaling by Deterministic Annealing.
EMMCVPR 1997: 245-260 |
| 17 | EE | Hansjörg Klock,
Andreas Polzer,
Joachim M. Buhmann:
Region-Based Motion Compensated 3D-Wavelet Transform Coding of Video.
ICIP (2) 1997: 776-779 |
| 16 | EE | Thomas Hofmann,
Jan Puzicha,
Joachim M. Buhmann:
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation.
ICIP (3) 1997: 213-216 |
| 15 | EE | Andreas Polzer,
Hansjörg Klock,
Joachim M. Buhmann:
Video coding by region-based motion compensation and spatio-temporal wavelet transform.
ICIP (3) 1997: 436-439 |
| 14 | | Thomas Hofmann,
Joachim M. Buhmann:
Active Data Clustering.
NIPS 1997 |
| 13 | | Marcus Held,
Joachim M. Buhmann:
Unsupervised On-line Learning of Decision Trees for Hierarchical Data Analysis.
NIPS 1997 |
| 12 | EE | Thomas Hofmann,
Joachim M. Buhmann:
Pairwise Data Clustering by Deterministic Annealing.
IEEE Trans. Pattern Anal. Mach. Intell. 19(1): 1-14 (1997) |
| 11 | EE | Thomas Hofmann,
Joachim M. Buhmann:
Correction to "Pairwise Data Clustering by Deterministic Annealing".
IEEE Trans. Pattern Anal. Mach. Intell. 19(2): 192 (1997) |
| 1996 |
|---|
| 10 | | Thomas Hofmann,
Joachim M. Buhmann:
An Annealed ``Neural Gas'' Network for Robust Vector Quantization.
ICANN 1996: 151-156 |
| 9 | | Thomas Hofmann,
Joachim M. Buhmann:
Inferring Hierarchical Clustering Structures by Deterministic Annealing.
KDD 1996: 363-366 |
| 1995 |
|---|
| 8 | | 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) |
| 7 | | Armin B. Cremers,
Joachim M. Buhmann,
Sebastian Thrun:
Komplexe lernende Systeme: der mobile Roboter RHINO.
KI 9(2): 48-49 (1995) |
| 1994 |
|---|
| 6 | EE | Thomas Hofmann,
Joachim M. Buhmann:
Multidimensional Scaling and Data Clustering.
NIPS 1994: 459-466 |
| 1993 |
|---|
| 5 | EE | Joachim M. Buhmann,
Thomas Hofmann:
Central and Pairwise Data Clustering by Competitive Neural Networks.
NIPS 1993: 104-111 |
| 4 | EE | Joachim M. Buhmann,
Martin Lades,
Frank H. Eeckman:
Illumination-Invariant Face Recognition with a Contrast Sensitive Silicon Retina.
NIPS 1993: 769-776 |
| 3 | | 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) |
| 2 | | Joachim M. Buhmann,
Hans Kühnel:
Vector quantization with complexity costs.
IEEE Transactions on Information Theory 39(4): 1133-1145 (1993) |
| 1992 |
|---|
| 1 | | Joachim M. Buhmann,
Hans Kühnel:
Complexity Optimized Vector Quantization: A Neutral Network Approach.
Data Compression Conference 1992: 12-21 |
