783 search results - page 21 / 157 » A Method of Hidden Markov Model Optimization for Use with Ge... |
SSPR
2010
Springer
13 years 6 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...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
This paper addresses the problem of learning and recognizing human activities of daily living (ADL), which is an important research issue in building a pervasive and smart environ...
BMCBI
2006
2006
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
13 years 7 months ago
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
AUTOMATICA
2007
13 years 7 months ago
2007
The sensor scheduling problem can be formulated as a controlled hidden Markov model and this paper solves the problem when the state, observation and action spaces are continuous....