667 search results - page 18 / 134 » Learning to Model Sequences Generated by Switching Distribut... |
100
click to vote
ICPR
2006
IEEE
16 years 24 days ago
2006
IEEE
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
100
click to vote
WAPCV
2007
Springer
15 years 5 months ago
2007
Springer
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
AUSAI
2008
Springer
15 years 1 months ago
2008
Springer
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
111
click to vote
ICCS
2007
Springer
15 years 5 months ago
2007
Springer
New architectures for Brain-Machine Interface communication and control use mixture models for expanding rehabilitation capabilities of disabled patients. Here we present and test ...
118
click to vote
CLOR
2006
15 years 3 months ago
2006
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...