626 search results - page 17 / 126 » Hidden Markov Modelling Techniques for Haplotype Analysis |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, a framework that combines feature extraction, model learning, and likelihood computation, is presented for video event detection. First, the independent component a...
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
BMCBI
2006
13 years 8 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...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Parameter estimation is a key computational issue in all statistical image modeling techniques. In this paper, we explore a computationally efficient parameter estimation algorith...
NAACL
1994
13 years 9 months ago
1994
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...