661 search results - page 7 / 133 » Risk and Information in the Estimation of Hidden Markov Mode... |
SSPR
2010
Springer
13 years 7 months ago
2010
Springer
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
IDA
2001
Springer
14 years 1 months ago
2001
Springer
BIOINFORMATICS
2008
13 years 8 months ago
2008
ICCV
2001
IEEE
14 years 10 months ago
2001
IEEE
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
NIPS
1992
13 years 10 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...