1243 search results - page 53 / 249 » Event-Coupled Hidden Markov Models |
130
Voted
TSP
2010
14 years 10 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
165
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ICIP
2006
IEEE
16 years 5 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 ...
142
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ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
We are interested in recovering aspects of vocal tract’s geometry and dynamics from auditory and visual speech cues. We approach the problem in a statistical framework based on ...
197
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ICIP
2001
IEEE
16 years 5 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
130
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DSOM
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Nowadays, network load is constantly increasing and high-speed infrastructures (1-10Gbps) are becoming increasingly common. In this context, flow-based intrusion detecti...