1658 search results - page 197 / 332 » Learning Mixtures of Gaussians |
166
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IDEAL
2010
Springer
15 years 3 months ago
2010
Springer
: Covariance matrices capture correlations that are invaluable in modeling real-life datasets. Using all d2 elements of the covariance (in d dimensions) is costly and could result ...
148
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INTERSPEECH
2010
15 years 1 months ago
2010
This study revisits the face-to-tongue articulatory inversion problem in speech. We compare the Multi Linear Regression method (MLR) with two more sophisticated methods based on H...
162
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INTERSPEECH
2010
15 years 1 months ago
2010
Current speech recognition systems are often based on HMMs with state-clustered Gaussian Mixture Models (GMMs) to represent the context dependent output distributions. Though high...
194
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JMLR
2010
15 years 1 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
237
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ICASSP
2011
IEEE
14 years 10 months ago
2011
IEEE
Background subtraction is commonly used to detect foreground objects in video surveillance. Traditional background subtraction methods are usually based on the assumption that the...