413 search results - page 2 / 83 » Information matrix for hidden Markov models with covariates |
126
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
We consider Gaussian multiresolution (MR) models in which coarser, hidden variables serve to capture statistical dependencies among the finest scale variables. Tree-structured MR ...
87
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IJCAI
2001
15 years 2 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
116
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CVPR
2008
IEEE
15 years 2 months ago
2008
IEEE
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
116
Voted
CONTEXT
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. This paper presents a statistical framework based on Principal Component Analysis (PCA) for discovering the contextual factors which most strongly influence user behavio...
105
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MM
2005
ACM
15 years 6 months ago
2005
ACM
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...