Conference papers (5): |
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Chiappa S and Peters J (June-2011) Movement extraction by detecting dynamics switches and repetitions
In: Advances in Neural Information Processing Systems 23, Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 388-396.

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Chiappa S , Kober J and Peters J (June-2009) Using Bayesian Dynamical Systems for Motion Template Libraries
In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 297-304.

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Chiappa S , Saigo H and Tsuda K (May-2009) A Bayesian Approach to Graph Regression with Relevant Subgraph Selection
In: SDM09, 2009 SIAM International Conference on Data Mining, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 295-304.

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Chiappa S (December-2008) A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
In: ICMLA 2008, 7th International Conference on Machine Learning and Applications, IEEE Computer Society, Los Alamitos, CA, USA, 3-9.
 
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Chiappa S and Barber D (September-2007) Output Grouping using Dirichlet Mixtures of Linear Gaussian State-Space Models
In: ISPA 2007, 5th International Symposium on Image and Signal Processing and Analysis, IEEE Computer Society, Los Alamitos, CA, USA, 446-451.
 
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Technical reports (2): |
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Chiappa S : Unsupervised Bayesian Time-series Segmentation based on Linear Gaussian State-space Models, 171, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, (June-2008).
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Chiappa S and Barber D : Dirichlet Mixtures of Bayesian Linear Gaussian State-Space Models: a Variational Approach, 161, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2007).
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Posters (1): |
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Chiappa S (November-2008): Variational Bayesian Model Selection in Linear Gaussian State-Space based Models, International Workshop on Flexible Modelling: Smoothing and Robustness (FMSR 2008), 2008 1.
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