282 results
(View BibTeX file of all listed publications)

**Flapping wings via direct-driving by DC motors**
In *Robotics and Automation (ICRA), 2013 IEEE International Conference on*, pages: 1397-1402, 2013 (inproceedings)

**Three dimensional independent control of multiple magnetic microrobots**
In *Robotics and Automation (ICRA), 2013 IEEE International Conference on*, pages: 2576-2581, 2013 (inproceedings)

**Abstraction in Decision-Makers with Limited Information Processing Capabilities**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**A Perching Mechanism for Flying Robots Using a Fibre-Based Adhesive**
In *Robotics and Automation (ICRA), 2013 IEEE International Conference on*, 2013 (inproceedings)

**Bonding methods for modular micro-robotic assemblies**
In *Robotics and Automation (ICRA), 2013 IEEE International Conference on*, pages: 2588-2593, 2013 (inproceedings)

**Learning Task Error Models for Manipulation**
In *2013 IEEE Conference on Robotics and Automation*, IEEE, Karlsruhe, Germany, 2013 (inproceedings)

**Bounded Rational Decision-Making in Changing Environments**
pages: 1-9, NIPS Workshop Planning with Information Constraints for Control, Reinforcement Learning, Computational Neuroscience, Robotics and Games, December 2013 (conference)

**Attentional Modulation of Auditory Event-Related Potentials in a Brain-Computer Interface**
In *BioCAS04*, (S3/5/INV- S3/17-20):4, IEEE Computer Society, Los Alamitos, CA, USA, 2004 IEEE International Workshop on Biomedical Circuits and Systems, December 2004 (inproceedings)

**Joint Kernel Maps**
(131), Max-Planck-Institute for Biological Cybernetics, Tübingen, November 2004 (techreport)

ei
Zhou, D.
**How to learn from very few examples?**
October 2004 (talk)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

**Modelling Spikes with Mixtures of Factor Analysers**
In *Pattern Recognition*, pages: 391-398, LNCS 3175, (Editors: Rasmussen, C. E. , H.H. Bülthoff, B. Schölkopf, M.A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, September 2004 (inproceedings)

**Learning Depth From Stereo**
In *26th DAGM Symposium*, pages: 245-252, LNCS 3175, (Editors: Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, September 2004 (inproceedings)

**Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung**
September 2004 (talk)

**Semi-Supervised Induction**
(141), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, August 2004 (techreport)

**Learning to Find Graph Pre-Images**
In *Pattern Recognition*, pages: 253-261, (Editors: Rasmussen, C. E., H. H. Bülthoff, B. Schölkopf, M. A. Giese), Springer, Berlin, Germany, 26th DAGM Symposium, August 2004 (inproceedings)

**Exponential Families for Conditional Random Fields**
In *Proceedings of the 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI 2004)*, pages: 2-9, (Editors: Chickering, D.M. , J.Y. Halpern), Morgan Kaufmann, San Francisco, CA, USA, 20th Annual Conference on Uncertainty in Artificial Intelligence (UAI), July 2004 (inproceedings)

**Object categorization with SVM: kernels for local features**
(137), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Hilbertian Metrics and Positive Definite Kernels on Probability Measures**
(126), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**Kernels, Associated Structures and Generalizations**
(127), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, July 2004 (techreport)

**PAC-Bayesian Generic Chaining**
In *Advances in Neural Information Processing Systems 16*, pages: 1125-1132 , (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Prediction on Spike Data Using Kernel Algorithms**
In *Advances in Neural Information Processing Systems 16*, pages: 1367-1374, (Editors: S Thrun and LK Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Warped Gaussian Processes**
In *Advances in Neural Information Processing Systems 16*, pages: 337-344, (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Ranking on Data Manifolds**
In *Advances in neural information processing systems 16*, pages: 169-176, (Editors: S Thrun and L Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Gaussian Processes in Reinforcement Learning**
In *Advances in Neural Information Processing Systems 16*, pages: 751-759, (Editors: Thrun, S., L. K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Learning with Local and Global Consistency**
In *Advances in Neural Information Processing Systems 16*, pages: 321-328, (Editors: S Thrun and LK Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Learning to Find Pre-Images**
In *Advances in Neural Information Processing Systems 16*, pages: 449-456, (Editors: S Thrun and LK Saul and B Schölkopf), MIT Press, Cambridge, MA, USA, 17th Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Measure Based Regularization**
In *Advances in Neural Information Processing Systems 16*, pages: 1221-1228, (Editors: Thrun, S., L. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Insights from Machine Learning Applied to Human Visual Classification**
In *Advances in Neural Information Processing Systems 16*, pages: 905-912, (Editors: Thrun, S., L. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Image Construction by Linear Programming**
In *Advances in Neural Information Processing Systems 16*, pages: 57-64, (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Semi-Supervised Protein Classification using Cluster Kernels**
In *Advances in Neural Information Processing Systems 16*, pages: 595-602, (Editors: Thrun, S., L.K. Saul, B. Schölkopf), MIT Press, Cambridge, MA, USA, Seventeenth Annual Conference on Neural Information Processing Systems (NIPS), June 2004 (inproceedings)

**Kernel Hebbian Algorithm for single-frame super-resolution**
In *Computer Vision - ECCV 2004, LNCS vol. 3024*, pages: 135-149, (Editors: A Leonardis and H Bischof), Springer, Berlin, Germany, 8th European Conference on Computer Vision (ECCV), May 2004 (inproceedings)

**Kamerakalibrierung und Tiefenschätzung:
Ein Vergleich von klassischer Bündelblockausgleichung und statistischen Lernalgorithmen**
Wilhelm-Schickard-Institut für Informatik, Universität Tübingen, Tübingen, Germany, March 2004 (techreport)

**Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking**
January 2004 (talk)

ei
Bousquet, O.
**Introduction to Category Theory**
Internal Seminar, January 2004 (talk)

**Unifying Colloborative and Content-Based Filtering.**
In *ACM International Conference Proceeding Series*, pages: 65 , (Editors: Greiner, R. , D. Schuurmans), ACM Press, New York, USA, ICLM, 2004 (inproceedings)

**Clustering Protein Sequence and Structure Space with Infinite Gaussian Mixture Models**
In *Pacific Symposium on Biocomputing 2004; Vol. 9*, pages: 399-410, World Scientific Publishing, Singapore, Pacific Symposium on Biocomputing, 2004 (inproceedings)

**Efficient Approximations for Support Vector Machines in Object Detection**
In *DAGM 2004*, pages: 54-61, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Kernel Methods for Manifold Estimation**
In *Proceedings in Computational Statistics*, pages: 441-452, (Editors: J Antoch), Physica-Verlag/Springer, Heidelberg, Germany, COMPSTAT, 2004 (inproceedings)

**A Regularization Framework for Learningfrom Graph Data**
In *ICML Workshop on Statistical Relational Learning and Its Connections to Other Fields*, pages: 132-137, ICML, 2004 (inproceedings)

**Multivariate Regression with Stiefel Constraints**
(128), MPI for Biological Cybernetics, Spemannstr 38, 72076, Tuebingen, 2004 (techreport)

**A kernel view of the dimensionality reduction of manifolds**
In *Proceedings of the Twenty-First International Conference on Machine Learning*, pages: 369-376, (Editors: CE Brodley), ACM, New York, NY, USA, ICML, 2004, also appeared as MPI-TR 110 (inproceedings)

**Protein Functional Class Prediction with a Combined Graph**
In *Proceedings of the Korean Data Mining Conference*, pages: 200-219, Proceedings of the Korean Data Mining Conference, 2004 (inproceedings)

**Learning from Labeled and Unlabeled Data Using Random Walks**
In *Pattern Recognition, Proceedings of the 26th DAGM Symposium*, pages: 237-244, (Editors: Rasmussen, C.E., H.H. Bülthoff, M.A. Giese and B. Schölkopf), Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Learning from Labeled and Unlabeled Data Using Random Walks**
Max Planck Institute for Biological Cybernetics, 2004 (techreport)

**Multivariate Regression via Stiefel Manifold Constraints**
In *Lecture Notes in Computer Science, Vol. 3175*, pages: 262-269, (Editors: CE Rasmussen and HH Bülthoff and B Schölkopf and MA Giese), Springer, Berlin, Germany, Pattern Recognition, Proceedings of the 26th DAGM Symposium, 2004 (inproceedings)

**Implicit estimation of Wiener series**
In *Machine Learning for Signal Processing XIV, Proc. 2004 IEEE Signal Processing Society Workshop*, pages: 735-744, (Editors: A Barros and J Principe and J Larsen and T Adali and S Douglas), IEEE, New York, Machine Learning for Signal Processing XIV, Proc. IEEE Signal Processing Society Workshop, 2004 (inproceedings)

**Hilbertian Metrics on Probability Measures and their Application in SVM’s**
In *Pattern Recognition, Proceedings of th 26th DAGM Symposium*, 3175, pages: 270-277, Lecture Notes in Computer Science, (Editors: Rasmussen, C. E., H. H. Bülthoff, M. Giese and B. Schölkopf), Pattern Recognition, Proceedings of th 26th DAGM Symposium, 2004 (inproceedings)