20833 search results - page 61 / 4167 » Hidden process models |
156
Voted
ICONIP
2007
15 years 4 months ago
2007
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
133
Voted
ICASSP
2010
IEEE
15 years 18 days ago
2010
IEEE
In this paper, we propose a new method of blind source separation (BSS) for music signals. Our method has the following characteristics: 1) the method is a combination of the spar...
137
click to vote
MICAI
2007
Springer
15 years 8 months ago
2007
Springer
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
167
Voted
FLAIRS
2008
15 years 5 months ago
2008
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
161
Voted
FCSC
2010
15 years 5 hour ago
2010
Graphical models have become the basic framework for topic based probabilistic modeling. Especially models with latent variables have proved to be effective in capturing hidden str...