Publications of S Chiappa

Conference Paper (5)

1.
Conference Paper
Chiappa, S.; Peters, J.: Movement extraction by detecting dynamics switches and repetitions. Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, BC, Canada, December 06, 2010 - December 11, 2010. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, pp. 388 - 396 (2011)
2.
Conference Paper
Chiappa, S.; Kober, J.; Peters, J.: Using Bayesian Dynamical Systems for Motion Template Libraries. In: Advances in neural information processing systems 21, pp. 297 - 304 (Eds. Koller, D.; Schuurmans, D.; Bengio, Y.; Bottou, L.). Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Vancouver, BC, Canada, December 08, 2008 - December 10, 2008. Curran, Red Hook, NY, USA (2009)
3.
Conference Paper
Chiappa, S.; Saigo, H.; Tsuda, K.: A Bayesian Approach to Graph Regression with Relevant Subgraph Selection. In: 2009 SIAM International Conference on Data Mining, pp. 295 - 304 (Eds. Park, H.; Parthasarathy, S.; Liu, H.). SIAM International Conference on Data Mining (SDM 2009), Sparks, NV, USA, April 30, 2009 - May 02, 2009. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2009)
4.
Conference Paper
Chiappa, S.: 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, pp. 3 - 9 (Eds. 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, December 11, 2008 - December 13, 2008. IEEE, Piscataway, NJ, USA (2008)
5.
Conference Paper
Chiappa, S.; Barber, D.: Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models. In: 2007 5th International Symposium on Image and Signal Processing and Analysis, pp. 446 - 451. 5th International Symposium on Image and Signal Processing and Analysis (ISPA 2007), Istanbul, Turkey, September 27, 2007 - September 29, 2007. IEEE, Piscataway, NJ, USA (2007)

Poster (1)

6.
Poster
Chiappa, S.: Variational Bayesian Model Selection in Linear Gaussian State-Space based Models. International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008), Leuven, Belgium (2008)

Report (2)

7.
Report
Chiappa, S.: Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models (Technical Report of the Max Planck Institute for Biological Cybernetics, 171). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2008)
8.
Report
Chiappa, S.; Barber, D.: Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach (Technical Report of the Max Planck Institute for Biological Cybernetics, 161). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2007), 32 pp.
Go to Editor View