83 results
(View BibTeX file of all listed publications)

**Computationally Efficient Face Detection**
In *Computer Vision, ICCV 2001, vol. 2*, (73):695-700, IEEE, 8th International Conference on Computer Vision, 2001 (inproceedings)

**Design and Verification of Supervisory Controller of High-Speed Train**
In *IEEE International Symposium on Industrial Electronics*, pages: 1290-1295, IEEE Operations Center, Piscataway, NJ, USA, IEEE International Symposium on Industrial Electronics (ISIE), 2001 (inproceedings)

**Towards Learning Path Planning for Solving Complex Robot Tasks**
In *Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001) Vienna*, pages: 943-950, Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001) Vienna, 2001 (inproceedings)

**Learning to predict the leave-one-out error of kernel based classifiers**
In *International Conference on Artificial Neural Networks, ICANN'01*, (LNCS 2130):331-338, (Editors: G. Dorffner, H. Bischof and K. Hornik), International Conference on Artificial Neural Networks, ICANN'01, 2001 (inproceedings)

**A kernel approach for vector quantization with guaranteed distortion bounds**
In *Artificial Intelligence and Statistics*, pages: 129-134, (Editors: T Jaakkola and T Richardson), Morgan Kaufmann, San Francisco, CA, USA, 8th International Conference on Artificial Intelligence and Statistics (AI and STATISTICS), 2001 (inproceedings)

**Tracking a Small Set of Experts by Mixing Past Posteriors**
In *Proceedings of the 14th Annual Conference on Computational Learning Theory, Lecture Notes in Computer Science*, 2111, pages: 31-47, Proceedings of the 14th Annual Conference on Computational Learning Theory, Lecture Notes in Computer Science, 2001 (inproceedings)

**Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines**
In *Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001)*, pages: 390-398, Proceedings of the International Conference on Artificial Neural Networks (ICANN'2001), 2001 (inproceedings)

**Estimating a Kernel Fisher Discriminant in the Presence of Label Noise**
In *18th International Conference on Machine Learning*, pages: 306-313, (Editors: CE Brodley and A Pohoreckyj Danyluk), Morgan Kaufmann , San Fransisco, CA, USA, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**A Generalized Representer Theorem**
In *Lecture Notes in Computer Science, Vol. 2111*, (2111):416-426, LNCS, (Editors: D Helmbold and R Williamson), Springer, Berlin, Germany, Annual Conference on Computational Learning Theory (COLT/EuroCOLT), 2001 (inproceedings)

**The pedestal effect with a pulse train and its constituent sinusoids**
*Twenty-Sixth Annual Interdisciplinary Conference*, 2001 (poster)

**Unsupervised Segmentation and Classification of Mixtures of Markovian Sources**
In *The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics)*, pages: 1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface - Frontiers in Data Mining and Bioinformatics), 2001 (inproceedings)

**Support Vector Regression for Black-Box System Identification**
In *11th IEEE Workshop on Statistical Signal Processing*, pages: 341-344, IEEE Signal Processing Society, Piscataway, NY, USA, 11th IEEE Workshop on Statistical Signal Processing, 2001 (inproceedings)

**Unsupervised Sequence Segmentation by a
Mixture of Switching Variable Memory Markov Sources**
In *In the proceeding of the 18th International Conference on Machine Learning (ICML 2001)*, pages: 513-520, 18th International Conference on Machine Learning (ICML), 2001 (inproceedings)

**Kernel Machine Based Learning for Multi-View Face
Detection and Pose Estimation**
In *Proceedings Computer Vision, 2001, Vol. 2*, pages: 674-679, IEEE Computer Society, 8th International Conference on Computer Vision (ICCV), 2001 (inproceedings)

**Modeling the Dynamics of Individual Neurons of the Stomatogastric Networks with Support Vector Machines**
*Abstract Proceedings of the 6th International Congress of Neuroethology (ICN'2001) Bonn, abstract 404*, 2001 (poster)

**Engineering Support Vector Machine Kernels That Recognize Translation Initiation Sites in DNA**
In *German Conference on Bioinformatics (GCB 1999)*, October 1999 (inproceedings)

**Unexpected and anticipated pain: identification of specific brain activations by correlation with reference functions derived form conditioning theory**
29, 29th Annual Meeting of the Society for Neuroscience (Neuroscience), October 1999 (poster)

**Shrinking the tube: a new support vector regression algorithm**
In *Advances in Neural Information Processing Systems 11*, pages: 330-336 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, 12th Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Semiparametric support vector and linear programming machines**
In *Advances in Neural Information Processing Systems 11*, pages: 585-591 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, Twelfth Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Kernel PCA and De-noising in feature spaces**
In *Advances in Neural Information Processing Systems 11*, pages: 536-542 , (Editors: MS Kearns and SA Solla and DA Cohn), MIT Press, Cambridge, MA, USA, 12th Annual Conference on Neural Information Processing Systems (NIPS), June 1999 (inproceedings)

**Single-class Support Vector Machines**
*Dagstuhl-Seminar on Unsupervised Learning*, pages: 19-20, (Editors: J. Buhmann, W. Maass, H. Ritter and N. Tishby), 1999 (poster)

**Classifying LEP data with support vector algorithms.**
In *Artificial Intelligence in High Energy Nuclear Physics 99*, Artificial Intelligence in High Energy Nuclear Physics 99, 1999 (inproceedings)

**Pedestal effects with periodic pulse trains**
*Perception*, 28, pages: S137, 1999 (poster)

**Classification on proximity data with LP-machines**
In *Artificial Neural Networks, 1999. ICANN 99*, 470, pages: 304-309, Conference Publications , IEEE, 9th International Conference on Artificial Neural Networks, 1999 (inproceedings)

**Kernel-dependent support vector error bounds**
In *Artificial Neural Networks, 1999. ICANN 99*, 470, pages: 103-108 , Conference Publications , IEEE, 9th International Conference on Artificial Neural Networks, 1999 (inproceedings)

**Linear programs for automatic accuracy control in regression**
In *Artificial Neural Networks, 1999. ICANN 99*, 470, pages: 575-580 , Conference Publications , IEEE, 9th International Conference on Artificial Neural Networks, 1999 (inproceedings)

**Regularized principal manifolds.**
In *Lecture Notes in Artificial Intelligence, Vol. 1572*, 1572, pages: 214-229 , Lecture Notes in Artificial Intelligence, (Editors: P Fischer and H-U Simon), Springer, Berlin, Germany, Computational Learning Theory: 4th European Conference, 1999 (inproceedings)

**Entropy numbers, operators and support vector kernels.**
In *Lecture Notes in Artificial Intelligence, Vol. 1572*, 1572, pages: 285-299, Lecture Notes in Artificial Intelligence, (Editors: P Fischer and H-U Simon), Springer, Berlin, Germany, Computational Learning Theory: 4th European Conference, 1999 (inproceedings)

**Is the Hippocampus a Kalman Filter?**
In *Proceedings of the Pacific Symposium on Biocomputing*, 3, pages: 619-630, Proceedings of the Pacific Symposium on Biocomputing, 1999 (inproceedings)

**A Comparison of Artificial Neural Networks and Cluster Analysis for Typing Biometrics Authentication**
In *unknown*, pages: 9999-9999, International Joint Conference on Neural Networks, 1999 (inproceedings)

**Implications of the pedestal effect for models of contrast-processing and gain-control**
*OSA Conference Program*, pages: 62, 1999 (poster)

**Advances in Kernel Methods - Support Vector Learning**
MIT Press, Cambridge, MA, 1999 (book)

**Fisher discriminant analysis with kernels**
In *Proceedings of the 1999 IEEE Signal Processing Society Workshop*, 9, pages: 41-48, (Editors: Y-H Hu and J Larsen and E Wilson and S Douglas), IEEE, Neural Networks for Signal Processing IX, 1999 (inproceedings)