413 search results - page 2 / 83 » Information matrix for hidden Markov models with covariates |
ICML
2009
IEEE
14 years 5 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 ...
IJCAI
2001
13 years 6 months ago
2001
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
CVPR
2008
IEEE
13 years 6 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...
CONTEXT
2007
Springer
13 years 11 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...
MM
2005
ACM
13 years 10 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...