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» Logical Hidden Markov Models
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157
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ICASSP
2011
IEEE
14 years 7 months ago
Using multiple visual tandem streams in audio-visual speech recognition
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...
Ibrahim Saygin Topkaya, Hakan Erdogan
144
Voted
AUTOMATICA
2007
82views more  AUTOMATICA 2007»
15 years 3 months ago
Simulation-based optimal sensor scheduling with application to observer trajectory planning
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....
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Ar...
148
Voted
PAMI
2008
189views more  PAMI 2008»
15 years 3 months ago
Detecting Objects of Variable Shape Structure With Hidden State Shape Models
This paper proposes a method for detecting object classes that exhibit variable shape structure in heavily cluttered images. The term "variable shape structure" is used t...
Jingbin Wang, Vassilis Athitsos, Stan Sclaroff, Ma...
CSL
1999
Springer
15 years 3 months ago
A hidden Markov-model-based trainable speech synthesizer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
R. E. Donovan, Philip C. Woodland
160
Voted
TSMC
2002
134views more  TSMC 2002»
15 years 3 months ago
Incorporating soft computing techniques into a probabilistic intrusion detection system
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
Sung-Bae Cho