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126
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BMCBI
2004
15 years 1 months ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
102
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ECAI
2006
Springer
15 years 5 months ago
2006
Springer
We describe Polynomial Conditional Random Fields for signal processing tasks. It is a hybrid model that combines the ability of Polynomial Hidden Markov models for modeling complex...
140
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ICIP
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
LREC
2010
15 years 2 months ago
2010
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
119
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IUI
2005
ACM
15 years 7 months ago
2005
ACM
A principal problem in speech recognition is distinguishing between words and phrases that sound similar but have different meanings. Speech recognition programs produce a list of...