9 results
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**Bayesian Time Series Models**
pages: 432, Cambridge University Press, Cambridge, UK, August 2011 (book)

**Movement extraction by detecting dynamics switches and repetitions**
In *Advances in Neural Information Processing Systems 23*, pages: 388-396, (Editors: Lafferty, J. , C. K.I. Williams, J. Shawe-Taylor, R. S. Zemel, A. Culotta), Curran, Red Hook, NY, USA, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS), 2010 (inproceedings)

**Using Bayesian Dynamical Systems for Motion Template Libraries**
In *Advances in neural information processing systems 21*, pages: 297-304, (Editors: Koller, D. , D. Schuurmans, Y. Bengio, L. Bottou), Curran, Red Hook, NY, USA, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS), June 2009 (inproceedings)

**A Bayesian Approach to Graph Regression with Relevant Subgraph Selection**
In *SIAM International Conference on Data Mining*, pages: 295-304, (Editors: Park, H. , S. Parthasarathy, H. Liu), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, SDM, May 2009 (inproceedings)

**A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation**
In *ICMLA 2008*, pages: 3-9, (Editors: Wani, M. A., X.-W. Chen, D. Casasent, L. Kurgan, T. Hu, K. Hafeez), IEEE Computer Society, Los Alamitos, CA, USA, 7th International Conference on Machine Learning and Applications, December 2008 (inproceedings)

**Variational Bayesian Model Selection in Linear Gaussian State-Space based Models**
*International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008)*, 2008, pages: 1, November 2008 (poster)

**Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models**
(171), Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, June 2008 (techreport)

**Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models**
In *ISPA 2007*, pages: 446-451, IEEE Computer Society, Los Alamitos, CA, USA, 5th International Symposium on Image and Signal Processing and Analysis, September 2007 (inproceedings)

**Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach**
(161), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, March 2007 (techreport)