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AAAI
2010
14 years 6 months ago
2010
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
PAMI
2010
14 years 7 months ago
2010
—We describe an object detection system based on mixtures of multiscale deformable part models. Our system is able to represent highly variable object classes and achieves state-...
AIRS
2009
Springer
15 years 4 months ago
2009
Springer
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...
PKDD
2009
Springer
15 years 4 months ago
2009
Springer
This article contributes a generic model of topic models. To define the problem space, general characteristics for this class of models are derived, which give rise to a represent...
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
—In Dirichlet process (DP) mixture models, the number of components is implicitly determined by the sampling parameters of Dirichlet process. However, this kind of models usually...