644 search results - page 35 / 129 » Robust Bayesian Mixture Modelling |
103
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
We introduce Bayesian sensing hidden Markov models (BS-HMMs) to represent speech data based on a set of state-dependent basis vectors. By incorporating the prior density of sensin...
127
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
One of the most important problems in visual tracking is how to incrementally update the appearance model because the appearance of a target object can be easily changed with time...
97
Voted
EMMCVPR
1999
Springer
15 years 5 months ago
1999
Springer
Consider the problem of tting a nite Gaussian mixture, with an unknown number of components, to observed data. This paper proposes a new minimum description length (MDL) type crite...
95
Voted
ICML
2003
IEEE
16 years 1 months ago
2003
IEEE
We present a new approach to estimating mixture models based on a new inference principle we have proposed: the latent maximum entropy principle (LME). LME is different both from ...
116
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ECCV
2006
Springer
15 years 4 months ago
2006
Springer
In this paper we propose a novel approach for the spatial segmentation of video sequences containing multiple temporal textures. This work is based on the notion that a single tem...