923 search results - page 11 / 185 » Spam Deobfuscation using a Hidden Markov Model |
100
click to vote
ICIP
2005
IEEE
15 years 7 months ago
2005
IEEE
This paper proposes a robust statistical framework to extract highlights from a baseball broadcast video. We applied multistream Hidden Markov Models (HMMs) to control the weights...
115
Voted
AIRS
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We propose a semantic tagger that provides high level concept information for phrases in clinical documents. It delineates such information from the statements written by...
110
click to vote
IHI
2010
14 years 8 months ago
2010
As more and more information is available in the Electronic Health Record in the form of free-text narrative, there is a need for automated tools, which can process and understand...
123
click to vote
ICIAR
2009
Springer
15 years 6 months ago
2009
Springer
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
111
click to vote
NAACL
1994
15 years 3 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...