1014 search results - page 109 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
ECML
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Conditional Random Fields (CRFs) provide a powerful instrument for labeling sequences. So far, however, CRFs have only been considered for labeling sequences over flat al...
JETAI
1998
13 years 7 months ago
1998
Graphical structures such as Bayesian networks or Markov networks are very useful tools for representing irrelevance or independency relationships, and they may be used to e cientl...
ICMCS
2007
IEEE
14 years 2 months ago
2007
IEEE
We present a two-layer generative model for sport video mining that is composed of a two-layer observation model. The first layer is the Gaussian mixture model (GMM) using framew...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
NIPS
1996
13 years 9 months ago
1996
We describe the implementation of a hidden Markov model state decoding system, a component for a wordspotting speech recognition system. The key specification for this state decod...