468 search results - page 41 / 94 » A Bayesian framework for Gaussian mixture background modelin... |
104
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ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
153
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AROBOTS
2011
14 years 7 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
88
Voted
ICCV
2003
IEEE
16 years 2 months ago
2003
IEEE
We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probab...
139
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VLSM
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. Given an image, digital matting consists in extracting a foreground element from the background. Standard methods are initialized with a trimap, a partition of the image ...
117
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NN
1998
Springer
15 years 4 days ago
1998
Springer
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...