2190 search results - page 226 / 438 » Mixtures of Gaussian Processes |
165
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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...
197
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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...
208
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CVPR
2012
IEEE
13 years 9 months ago
2012
IEEE
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
159
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WSC
2007
15 years 9 months ago
2007
Machine failure is often an important factor in throughput of manufacturing systems. To simplify the inputs to the simulation model for complex machining and assembly lines, we ha...
178
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IJON
2008
15 years 6 months ago
2008
We consider the problem of convolutive blind source separation of stereo mixtures. This is often tackled using frequency-domain independent component analysis (FDICA), or time-fre...