Publikationen von S Chiappa
Alle Typen
Konferenzbeitrag (5)
1.
Konferenzbeitrag
Movement extraction by detecting dynamics switches and repetitions. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, 06. Dezember 2010 - 11. Dezember 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, S. 388 - 396 (2011)
2.
Konferenzbeitrag
Using Bayesian Dynamical Systems for Motion Template Libraries. In: Advances in neural information processing systems 21, S. 297 - 304 (Hg. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, 08. Dezember 2008 - 10. Dezember 2008. Curran, Red Hook, NY, USA (2009)
3.
Konferenzbeitrag
A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In: 2009 SIAM International Conference on Data Mining, S. 295 - 304 (Hg. Park, H.; Parthasarathy, S.; Liu, H.). SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, 30. April 2009 - 02. Mai 2009. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2009)
4.
Konferenzbeitrag
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation. In: 2008 Seventh International Conference on Machine Learning and Applications, S. 3 - 9 (Hg. Wani, A.; Chen, X.-W.; Casasent, D.; Curgan, L.; Hu, T. et al.). 7th International Conference on Machine Learning and Applications, San Diego, CA, USA, 11. Dezember 2008 - 13. Dezember 2008. IEEE, Piscataway, NJ, USA (2008)
5.
Konferenzbeitrag
Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models. In: 2007 5th International Symposium on Image and Signal Processing and Analysis, S. 446 - 451. 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007), Istanbul, Turkey, 27. September 2007 - 29. September 2007. IEEE, Piscataway, NJ, USA (2007)
Poster (1)
6.
Poster
Variational Bayesian Model Selection in Linear Gaussian State-Space based Models. International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008), Leuven, Belgium (2008)
Bericht (2)
7.
Bericht
171). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008)
Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models (Technical Report of the Max Planck Institute for Biological Cybernetics, 8.
Bericht
161). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 32 S.
Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach (Technical Report of the Max Planck Institute for Biological Cybernetics,