1658 search results - page 106 / 332 » Learning Mixtures of Gaussians |
230
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TCSV
2010
15 years 1 months ago
2010
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
156
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AVBPA
2001
Springer
15 years 11 months ago
2001
Springer
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
243
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JMLR
2010
15 years 1 months ago
2010
In this paper, we develop a novel online algorithm based on the Sequential Monte Carlo (SMC) samplers framework for posterior inference in Dirichlet Process Mixtures (DPM) (DelMor...
169
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ESSMAC
2003
Springer
15 years 11 months ago
2003
Springer
Abstract. Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of nonlinear dynamic systems. The Gaussian processes can h...
207
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TNN
2010
15 years 1 months ago
2010
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...