164 search results - page 16 / 33 » Flexible latent variable models for multi-task learning |
ICDM
2005
IEEE
15 years 4 months ago
2005
IEEE
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
111
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ICASSP
2009
IEEE
14 years 9 months ago
2009
IEEE
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
ICML
2006
IEEE
16 years 3 days ago
2006
IEEE
Some models of textual corpora employ text generation methods involving n-gram statistics, while others use latent topic variables inferred using the "bag-of-words" assu...
118
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JMLR
2006
14 years 11 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...
111
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ACCV
2010
Springer
14 years 6 months ago
2010
Springer
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...