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ICASSP
2011
IEEE
8 years 7 months ago
Itakura-Saito nonnegative matrix factorization with group sparsity
We propose an unsupervised inference procedure for audio source separation. Components in nonnegative matrix factorization (NMF) are grouped automatically in audio sources via a p...
Augustin Lefevre, Francis Bach, Cédric F&ea...
ICASSP
2011
IEEE
8 years 7 months ago
Regularized split gradient method for nonnegative matrix factorization
This article deals with a regularized version of the split gradient method (SGM), leading to multiplicative algorithms. The proposed algorithm is available for the optimization of...
Henri Lantéri, Céline Theys, C&eacut...
ICASSP
2011
IEEE
8 years 7 months ago
Gain-robust multi-pitch tracking using sparse nonnegative matrix factorization
While nonnegative matrix factorization (NMF) has successfully been applied for gain-robust multi-pitch detection, a method to track pitch values over time was not provided. We emb...
Robert Peharz, Michael Wohlmayr, Franz Pernkopf
CORR
2011
Springer
241views Education» more  CORR 2011»
8 years 11 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
ICDM
2009
IEEE
131views Data Mining» more  ICDM 2009»
9 years 1 months ago
Unified Solution to Nonnegative Data Factorization Problems
In this paper, we restudy the non-convex data factorization problems (regularized or not, unsupervised or supervised), where the optimization is confined in the nonnegative orthan...
Xiaobai Liu, Shuicheng Yan, Jun Yan, Hai Jin
ICASSP
2009
IEEE
9 years 1 months ago
Weighted nonnegative matrix factorization
Nonnegative matrix factorization (NMF) is a widely-used method for low-rank approximation (LRA) of a nonnegative matrix (matrix with only nonnegative entries), where nonnegativity...
Yong-Deok Kim, Seungjin Choi
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
9 years 1 months ago
Efficient Nonnegative Matrix Factorization with Random Projections
The recent years have witnessed a surge of interests in Nonnegative Matrix Factorization (NMF) in data mining and machine learning fields. Despite its elegant theory and empirical...
Fei Wang, Ping Li
SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
9 years 2 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
9 years 2 months ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
SIGIR
2008
ACM
9 years 3 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
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