111 search results - page 13 / 23 » Articulatory feature recognition using dynamic Bayesian netw... |
109
click to vote
IJCAI
2003
15 years 1 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
112
click to vote
CAIP
2009
Springer
15 years 6 months ago
2009
Springer
This paper describes a comprehensive approach to extract a common feature set from the image sequences. We use simple features which are easily extracted from a 3D wireframe model ...
109
click to vote
SSPR
2004
Springer
15 years 5 months ago
2004
Springer
We focus on characterizing spatial region data when distinct classes of structural patterns are present. We propose a novel statistical approach based on a supervised framework for...
NIPS
2007
15 years 1 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
ICANN
2005
Springer
15 years 5 months ago
2005
Springer
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...