121 search results - page 14 / 25 » Inducing Hidden Markov Models to Model Long-Term Dependencie... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We present two novel methods to automatically learn spatio-temporal dependencies of moving agents in complex dynamic scenes. They allow to discover temporal rules, such as the rig...
COLING
1996
13 years 8 months ago
1996
In this paper, we describe a new model for word alignment in statistical translation and present experimental results. The idea of the model is to make the alignment probabilities...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We consider the problem of learning a hypergraph using edge-detecting queries. In this model, the learner may query whether a set of vertices induces an edge of the hidden hypergr...
NIPS
2003
13 years 8 months ago
2003
In applying Hidden Markov Models to the analysis of massive data streams, it is often necessary to use an artificially reduced set of states; this is due in large part to the fac...
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
This paper applies two dynamic Bayes networks that include theoretical and measured kinematic features of the vocal tract, respectively, to the task of labeling phoneme sequences ...