5398 search results - page 100 / 1080 » Markov Face Models |
ICASSP
2011
IEEE
13 years 20 days ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
BMCBI
2006
13 years 9 months ago
2006
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
ACL
1994
13 years 10 months ago
1994
This paper shows how to formally characterize language learning in a finite parameter space as a Markov structure, hnportant new language learning results follow directly: explici...
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
ACSD
2008
IEEE
13 years 11 months ago
2008
IEEE
The design of complex concurrent systems often involves intricate performance and dependability considerations. Continuous-time Markov chains (CTMCs) are widely used models for co...