210 search results - page 26 / 42 » Stochastic Motif Extraction Using Hidden Markov Model |
ICMCS
2009
IEEE
14 years 9 months ago
2009
IEEE
Minimizing the number of computations a low-power device makes is important to achieve long battery life. In this paper we present a framework for a low-power device to minimize t...
114
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ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
The extraction of contours using deformable models, such as snakes, is a problem of great interest in computer vision, particular in areas of medical imaging and tracking. Snakes ...
101
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ISVC
2007
Springer
15 years 5 months ago
2007
Springer
Optical motion capture can be classified as an inference problem: given the data produced by a set of cameras, the aim is to extract the hidden state, which in this case encodes t...
121
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CVPR
2012
IEEE
13 years 2 months ago
2012
IEEE
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
114
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PE
2011
Springer
14 years 6 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...