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115
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ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
291
Voted
ICA
2012
Springer
13 years 8 months ago
2012
Springer
Non-negative spectrogram factorization algorithms such as probabilistic latent component analysis (PLCA) have been shown to be quite powerful for source separation. When training d...
119
Voted
CIKM
2008
Springer
15 years 2 months ago
2008
Springer
Topic modeling has been a key problem for document analysis. One of the canonical approaches for topic modeling is Probabilistic Latent Semantic Indexing, which maximizes the join...
94
Voted
WWW
2008
ACM
16 years 1 months ago
2008
ACM
Social media such as Web forum often have dense interactions between user and content where network models are often appropriate for analysis. Joint non-negative matrix factorizat...
117
Voted
PAMI
2008
15 years 15 days ago
2008
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...