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214
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JMLR
2010
15 years 1 months ago
2010
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
151
Voted
SIAMMAX
2010
15 years 1 months ago
2010
The main goal of this paper is to develop a numerical procedure for construction of covariance matrices such that for a given covariance structural model and a discrepancy function...
193
Voted
TVCG
2012
13 years 9 months ago
2012
— Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this artic...
167
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ICDM
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper, we propose a new variant of Latent Dirichlet Allocation(LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning...
186
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SEMCO
2007
IEEE
16 years 1 months ago
2007
IEEE
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...