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» Image prediction based on non-negative matrix factorization
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IDA
2009
Springer
15 years 4 months ago
Bayesian Non-negative Matrix Factorization
Abstract. We present a Bayesian treatment of non-negative matrix factorization (NMF), based on a normal likelihood and exponential priors, and derive an efficient Gibbs sampler to ...
Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen
86
Voted
CIKM
2008
Springer
14 years 11 months ago
SoRec: social recommendation using probabilistic matrix factorization
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Hao Ma, Haixuan Yang, Michael R. Lyu, Irwin King
SIBGRAPI
2005
IEEE
15 years 3 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
CIKM
2009
Springer
15 years 4 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu
102
Voted
CORR
2011
Springer
241views Education» more  CORR 2011»
14 years 4 months ago
An Alternating Direction Algorithm for Matrix Completion with Nonnegative Factors
This paper introduces a novel algorithm for the nonnegative matrix factorization and completion problem, which aims to find nonnegative matrices X and Y from a subset of entries o...
Yangyang Xu, Wotao Yin, Zaiwen Wen, Yin Zhang