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» Probabilistic Matrix Factorization
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SIGIR
2008
ACM
13 years 7 months ago
Posterior probabilistic clustering using NMF
We introduce the posterior probabilistic clustering (PPC), which provides a rigorous posterior probability interpretation for Nonnegative Matrix Factorization (NMF) and removes th...
Chris H. Q. Ding, Tao Li, Dijun Luo, Wei Peng
ICCV
2005
IEEE
14 years 1 months ago
A Unifying Approach to Hard and Probabilistic Clustering
We derive the clustering problem from first principles showing that the goal of achieving a probabilistic, or ”hard”, multi class clustering result is equivalent to the algeb...
Ron Zass, Amnon Shashua
SIGIR
2005
ACM
14 years 1 months ago
Relation between PLSA and NMF and implications
Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...
Éric Gaussier, Cyril Goutte
ACL
2004
13 years 9 months ago
Aligning words using matrix factorisation
Aligning words from sentences which are mutual translations is an important problem in different settings, such as bilingual terminology extraction, Machine Translation, or projec...
Cyril Goutte, Kenji Yamada, Éric Gaussier
CVPR
2010
IEEE
13 years 7 months ago
Modeling pixel means and covariances using factorized third-order boltzmann machines
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
Marc Aurelio Ranzato, Geoffrey E. Hinton