517 results
(View BibTeX file of all listed publications)

**Graph Laplacians and their Convergence on Random Neighborhood Graphs**
*Journal of Machine Learning Research*, 8, pages: 1325-1370, June 2007 (article)

**Dirichlet Process Mixtures of Factor Analysers**
Fifth Workshop on Bayesian Inference in Stochastic Processes (BSP5), June 2007 (talk)

**Weighted Substructure Mining for Image Analysis**
In *CVPR 2007*, pages: 1-8, IEEE Computer Society, Los Alamitos, CA, USA, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2007 (inproceedings)

**Local Learning Projections**
In *Proceedings of the 24th International Conference on Machine Learning*, pages: 1039-1046, (Editors: Z Ghahramani), ACM Press, New York, NY, USA, ICML, June 2007 (inproceedings)

**Training and Approximation of a Primal Multiclass Support Vector Machine**
In *ASMDA 2007*, pages: 1-8, (Editors: Skiadas, C. H.), 12th International Conference on Applied Stochastic Models and Data Analysis, June 2007 (inproceedings)

**New BCI approaches: Selective Attention to Auditory and Tactile Stimulus Streams**
Invited talk at the PASCAL Workshop on Methods of Data Analysis in Computational Neuroscience and Brain Computer Interfaces, June 2007 (talk)

**Towards Motor Skill Learning in Robotics**
Interactive Robot Learning - RSS workshop, June 2007 (talk)

**Information-theoretic Metric Learning**
In *ICML 2007*, pages: 209-216, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th Annual International Conference on Machine Learning, June 2007 (inproceedings)

**A Dependence Maximization View of Clustering**
In *Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)*, pages: 815-822, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, Twenty-Fourth Annual International Conference on Machine Learning (ICML), June 2007 (inproceedings)

**Multiclass Multiple Kernel Learning**
In *ICML 2007*, pages: 1191-1198, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**Transductive Support Vector Machines for Structured Variables**
In *ICML 2007*, pages: 1183-1190, (Editors: Ghahramani, Z. ), ACM Press, New York, NY, USA, 24th International Conference on Machine Learning, June 2007 (inproceedings)

**Transductive Support Vector Machines for Structured Variables**
International Conference on Machine Learning (ICML), June 2007 (talk)

**Bayesian Reconstruction of the Density of States**
*Physical Review Letters*, 98(20, 200601):1-4, May 2007 (article)

**PALMA: mRNA to Genome Alignments using Large Margin Algorithms**
*Bioinformatics*, 23(15):1892-1900, May 2007 (article)

**Impact of target-to-target interval on classification performance in the P300 speller**
Scientific Meeting "Applied Neuroscience for Healthy Brain Function", May 2007 (talk)

**Cluster Identification in Nearest-Neighbor Graphs**
(163), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, May 2007 (techreport)

**Change-Point Detection using Krylov Subspace Learning**
In *SDM 2007*, pages: 515-520, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**Nonparametric Bayesian Discrete Latent Variable Models for Unsupervised Learning**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, April 2007, published online (phdthesis)

**Texture and object motion in slant discrimination: Failure of reliability-based weighting of cues may be evidence for strong fusion**
*Journal of Vision*, 7(6:3):1-21, April 2007 (article)

**Learning causality by identifying common effects with kernel-based dependence measures**
In *ESANN 2007*, pages: 453-458, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Exploring the causal order of binary variables via exponential hierarchies of Markov kernels**
In *ESANN 2007*, pages: 465-470, D-Side, Evere, Belgium, 15th European Symposium on Artificial Neural Networks, April 2007 (inproceedings)

**Fast Newton-type Methods for the Least Squares Nonnegative Matrix Approximation Problem**
In *SDM 2007*, pages: 343-354, (Editors: Apte, C. ), Society for Industrial and Applied Mathematics, Pittsburgh, PA, USA, SIAM International Conference on Data Mining, April 2007 (inproceedings)

**Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions**
In *Proceedings of the 15th European Symposium on Artificial Neural Networks
*, pages: 441-446, (Editors: M Verleysen), D-Side Publications, Evere, Belgium, ESANN, April 2007 (inproceedings)

**Better Codes for the P300 Visual Speller**
*G{\"o}ttingen Meeting of the German Neuroscience Society*, 7, pages: 123, March 2007 (poster)

**Do We Know What the Early Visual System Computes?**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 352, March 2007 (poster)

**Deterministic Annealing for
Multiple-Instance Learning**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 123-130, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Bayesian Inference and Optimal Design in the Sparse Linear Model**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 444-451, (Editors: Meila, M. , X. Shen), JMLR, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Stick-breaking Construction for the Indian Buffet Process**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 556-563, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Fast Kernel ICA using an Approximate Newton Method**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 476-483, (Editors: Meila, M. , X. Shen), MIT Press, Cambridge, MA, USA, 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Probabilistic Structure Calculation**
In *Structure and Biophysics: New Technologies for Current Challenges in Biology and Beyond*, pages: 81-98, NATO Security through Science Series, (Editors: Puglisi, J. D.), Springer, Berlin, Germany, March 2007 (inbook)

**Implicit Wiener Series for Estimating Nonlinear Receptive Fields**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 1199, March 2007 (poster)

**Training a Support Vector Machine in the Primal**
*Neural Computation*, 19(5):1155-1178, March 2007 (article)

**Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach**
(161), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, March 2007 (techreport)

**3D Reconstruction of Neural Circuits from Serial EM Images**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 1195, March 2007 (poster)

**Transductive Classification via Local Learning Regularization**
In *JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007*, pages: 628-635, (Editors: M Meila and X Shen), 11th International Conference on Artificial Intelligence and Statistics, March 2007 (inproceedings)

**Identifying temporal population codes in the retina using canonical correlation analysis**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 359, March 2007 (poster)

**Bayesian Neural System identification: error bars, receptive fields and neural couplings**
*31st G{\"o}ttingen Neurobiology Conference*, 31, pages: 360, March 2007 (poster)

**Applications of Kernel Machines to Structured Data**
Biologische Kybernetik, Technische Universität Berlin, Berlin, Germany, March 2007, passed with "sehr gut", published online (phdthesis)

**A priori Knowledge from Non-Examples**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, March 2007 (diplomathesis)

**Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning**
*PLoS Computational Biology*, 3(2, e20):0313-0322, February 2007 (article)

**The Independent Components of Natural Images are Perceptually Dependent**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**About the Triangle Inequality in Perceptual Spaces**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 308, February 2007 (poster)

**Automatic 3D Face Reconstruction from Single Images or Video**
(160), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, February 2007 (techreport)

**Center-surround filters emerge from optimizing predictivity in a
free-viewing task**
*Proceedings of the Computational and Systems Neuroscience Meeting 2007 (COSYNE)*, 4, pages: 207, February 2007 (poster)

**Nonlinear Receptive Field Analysis: Making Kernel Methods Interpretable**
*Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)*, 4, pages: 16, February 2007 (poster)

**Quantum broadcasting problem in classical low-power signal processing**
*Physical Review A*, 75(2):11, February 2007 (article)

**Statistical Consistency of Kernel Canonical Correlation Analysis**
*Journal of Machine Learning Research*, 8, pages: 361-383, February 2007 (article)

**Unsupervised learning of a steerable basis for invariant image representations**
In *Human Vision and Electronic Imaging XII*, pages: 1-12, (Editors: Rogowitz, B. E.), SPIE, Bellingham, WA, USA, SPIE Human Vision and Electronic Imaging Conference, February 2007 (inproceedings)

**Estimating Population Receptive Fields in Space and Time**
*Computational and Systems Neuroscience Meeting 2007 (COSYNE 2007)*, 4, pages: 44, February 2007 (poster)

**Machine Learning for Mass Production and Industrial Engineering**
Biologische Kybernetik, Eberhard-Karls-Universität Tübingen, Tübingen, Germany, February 2007 (phdthesis)