249 search results - page 23 / 50 » Subspace Gaussian Mixture Models for speech recognition |
AVSS
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper examines the the effectiveness of feature modelling to conduct 2D and 3D face recognition. In particular, PCA difference vectors are modelled using Gaussian Mixture Mod...
CVPR
2004
IEEE
15 years 1 months ago
2004
IEEE
We formulate face localization as a Maximum A Posteriori Probability(MAP) problem of finding the best estimation of human face configuration in a given image. The a prior distribu...
ICCS
2007
Springer
15 years 3 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
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Voted
CSL
2007
Springer
14 years 9 months ago
2007
Springer
Hidden Markov Models (HMMs) are the most commonly used acoustic model for speech recognition. In HMMs, the probability of successive observations is assumed independent given the ...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
In the framework of a face verification system using local features and a Gaussian Mixture Model based classifier, we address the problem of non-frontal face verification (when on...