1318 search results - page 86 / 264 » Aggregation-based model reduction of a Hidden Markov Model |
147
Voted
CSL
2011
Springer
14 years 7 months ago
2011
Springer
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
84
Voted
ACL
2008
15 years 2 months ago
2008
This paper investigates transforms of split dependency grammars into unlexicalised context-free grammars annotated with hidden symbols. Our best unlexicalised grammar achieves an ...
132
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
The method which is called the “tandem approach” in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a...
117
Voted
CVPR
2003
IEEE
16 years 2 months ago
2003
IEEE
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
119
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ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
We present conditional random fields, a framework for building probabilistic models to segment and label sequence data. Conditional random fields offer several advantages over hid...