667 search results - page 11 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
TC
2010
13 years 2 months ago
2010
Hybrid systems have emerged as an appropriate formalism to model embedded systems as they capture the theme of continuous dynamics with discrete control. Under this paradigm, distr...
NIPS
2007
13 years 8 months ago
2007
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
SBIA
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...