636 results
(View BibTeX file of all listed publications)

**An Online Support Vector Machine for Abnormal Events Detection**
*Signal Processing*, 86(8):2009-2025, August 2006 (article)

**Integrating Structured Biological data by Kernel Maximum Mean Discrepancy**
*Bioinformatics*, 22(4: ISMB 2006 Conference Proceedings):e49-e57, August 2006 (article)

**Comment on “Support vector machines with applications” by J. M. Moguerza and A. Muñoz
**
*Statistical Science*, 21(3):337-340, August 2006 (article)

**Large Scale Transductive SVMs**
*Journal of Machine Learning Research*, 7, pages: 1687-1712, August 2006 (article)

**Building Support Vector Machines with Reduced Classifier Complexity**
*Journal of Machine Learning Research*, 7, pages: 1493-1515, July 2006 (article)

**ARTS: Accurate Recognition of Transcription Starts in Human**
*Bioinformatics*, 22(14):e472-e480, July 2006 (article)

**Large Scale Multiple Kernel Learning**
*Journal of Machine Learning Research*, 7, pages: 1531-1565, July 2006 (article)

**Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?**
*Journal of the Optical Society of America A*, 23(6):1253-1268, June 2006 (article)

**Classifying EEG and ECoG Signals without Subject Training for Fast BCI Implementation: Comparison of Non-Paralysed and Completely Paralysed Subjects**
*IEEE Transactions on Neural Systems and Rehabilitation Engineering*, 14(2):183-186, June 2006 (article)

**SCARNA: Fast and Accurate Structural Alignment of RNA Sequences by Matching Fixed-Length Stem Fragments**
*Bioinformatics*, 22(14):1723-1729, May 2006 (article)

**The Effect of Artifacts on Dependence Measurement in fMRI**
*Magnetic Resonance Imaging*, 24(4):401-409, April 2006 (article)

**Phase noise and the classification of natural images**
*Vision Research*, 46(8-9):1520-1529, April 2006 (article)

**A Direct Method for Building Sparse Kernel Learning Algorithms**
*Journal of Machine Learning Research*, 7, pages: 603-624, April 2006 (article)

**Statistical Properties of Kernel Principal Component Analysis**
*Machine Learning*, 66(2-3):259-294, March 2006 (article)

**Network-based de-noising improves prediction from microarray data**
*BMC Bioinformatics*, 7(Suppl. 1):S4-S4, March 2006 (article)

**Model-based Design Analysis and Yield Optimization**
*IEEE Transactions on Semiconductor Manufacturing*, 19(4):475-486, February 2006 (article)

**Weighting of experimental evidence in macromolecular structure determination**
*Proceedings of the National Academy of Sciences of the United States of America*, 103(6):1756-1761, February 2006 (article)

**Classification of Faces in Man and Machine**
*Neural Computation*, 18(1):143-165, January 2006 (article)

**Dynamic Hebbian learning in adaptive frequency oscillators**
*Physica D: Nonlinear Phenomena*, 216(2):269-281, 2006 (article)

**Engineering Entrainment and Adaptation in Limit Cycle Systems – From biological inspiration to applications in robotics**
*Biological Cybernetics*, 95(6):645-664, December 2006 (article)

**Kernel Methods for Measuring Independence**
*Journal of Machine Learning Research*, 6, pages: 2075-2129, December 2005 (article)

**A Unifying View of Sparse Approximate Gaussian Process Regression**
*Journal of Machine Learning Research*, 6, pages: 1935-1959, December 2005 (article)

**Maximal Margin Classification for Metric Spaces**
*Journal of Computer and System Sciences*, 71(3):333-359, October 2005 (article)

**Selective integration of multiple biological data for supervised
network inference**
*Bioinformatics*, 21(10):2488 , October 2005 (article)

**Assessing Approximate Inference for Binary Gaussian Process Classification**
*Journal of Machine Learning Research*, 6, pages: 1679 , October 2005 (article)

**Clustering on the Unit Hypersphere using von Mises-Fisher Distributions**
*Journal of Machine Learning Research*, 6, pages: 1345-1382, September 2005 (article)

**Support Vector Machines for 3D Shape Processing**
*Computer Graphics Forum*, 24(3, EUROGRAPHICS 2005):285-294, September 2005 (article)

**Fast Protein Classification with Multiple Networks**
*Bioinformatics*, 21(Suppl. 2):59-65, September 2005 (article)

**Iterative Kernel Principal Component Analysis for Image Modeling**
*IEEE Transactions on Pattern Analysis and Machine Intelligence*, 27(9):1351-1366, September 2005 (article)

**Phenotypic characterization of chondrosarcoma-derived cell lines**
*Cancer Letters*, 226(2):143-154, August 2005 (article)

**Local Rademacher Complexities**
*The Annals of Statistics*, 33(4):1497-1537, August 2005 (article)

**Learning the Kernel with Hyperkernels**
*Journal of Machine Learning Research*, 6, pages: 1043-1071, July 2005 (article)

**Image Reconstruction by Linear Programming**
*IEEE Transactions on Image Processing*, 14(6):737-744, June 2005 (article)

**RASE: recognition of alternatively spliced exons in C.elegans**
*Bioinformatics*, 21(Suppl. 1):i369-i377, June 2005 (article)

**Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection**
*Journal of Machine Learning Research*, 6, pages: 995-1018, June 2005 (article)

**Texture and haptic cues in slant discrimination: Reliability-based cue weighting without statistically optimal cue combination**
*Journal of the Optical Society of America A*, 22(5):801-809, May 2005 (article)

**Bayesian inference for psychometric functions**
*Journal of Vision*, 5(5):478-492, May 2005 (article)

**A gene expression map of Arabidopsis thaliana development**
*Nature Genetics*, 37(5):501-506, April 2005 (article)

**Experimentally optimal v in support vector regression for different noise models and parameter settings**
*Neural Networks*, 18(2):205-205, March 2005 (article)

**Invariance of Neighborhood Relation under Input Space to Feature Space Mapping**
*Pattern Recognition Letters*, 26(6):707-718, 2005 (article)

**Theory of Classification: A Survey of Some Recent Advances**
*ESAIM: Probability and Statistics*, 9, pages: 323 , 2005 (article)

**Moment Inequalities for Functions of Independent Random Variables**
*To appear in Annals of Probability*, 33, pages: 514-560, 2005 (article)

**A tutorial on v-support vector machines**
*Applied Stochastic Models in Business and Industry*, 21(2):111-136, 2005 (article)

**Robust EEG Channel Selection Across Subjects for Brain Computer Interfaces**
*EURASIP Journal on Applied Signal Processing*, 2005(19, Special Issue: Trends in Brain Computer Interfaces):3103-3112, (Editors: Vesin, J. M., T. Ebrahimi), 2005 (article)

**On the representation, learning and transfer of spatio-temporal movement characteristics**
*International Journal of Humanoid Robotics*, 1(4):613-636, December 2004 (article)

**Insect-inspired estimation of egomotion**
*Neural Computation*, 16(11):2245-2260, November 2004 (article)

**Efficient face detection by a cascaded support-vector machine expansion**
*Proceedings of The Royal Society of London A*, 460(2501):3283-3297, A, November 2004 (article)

**Learning kernels from biological networks by maximizing entropy**
*Bioinformatics*, 20(Suppl. 1):i326-i333, August 2004 (article)

**Masking effect produced by Mach bands on the detection of narrow bars of random polarity**
*Journal of the Optical Society of America*, 21(8):1379-1387, A, August 2004 (article)

**Support Vector Channel Selection in BCI**
*IEEE Transactions on Biomedical Engineering*, 51(6):1003-1010, June 2004 (article)