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» A Simple Algorithm for Nuclear Norm Regularized Problems
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ISNN
2007
Springer
15 years 8 months ago
Regularized Alternating Least Squares Algorithms for Non-negative Matrix/Tensor Factorization
Nonnegative Matrix and Tensor Factorization (NMF/NTF) and Sparse Component Analysis (SCA) have already found many potential applications, especially in multi-way Blind Source Separ...
Andrzej Cichocki, Rafal Zdunek
105
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Mixed norms with overlapping groups as signal priors
In a number of signal processing applications, problem formulations based on the 1 norm as a sparsity inducing signal prior lead to simple algorithms with good performance. Howeve...
Ilker Bayram
ICASSP
2011
IEEE
14 years 6 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...
146
Voted
JACM
2011
152views more  JACM 2011»
14 years 5 months ago
Robust principal component analysis?
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
Emmanuel J. Candès, Xiaodong Li, Yi Ma, Joh...
88
Voted
ICALP
1999
Springer
15 years 6 months ago
Simulation Preorder on Simple Process Algebras
We consider the problem of simulation preorder/equivalence between infinite-state processes and finite-state ones. We prove that simulation preorder (in both directions) and simu...
Antonín Kucera, Richard Mayr