Sciweavers

19 search results - page 1 / 4
» Regularized Alternating Least Squares Algorithms for Non-neg...
Sort
View
ISNN
2007
Springer
14 years 12 days 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
BIBE
2007
IEEE
159views Bioinformatics» more  BIBE 2007»
13 years 10 months ago
Non-negative Tensor Factorization Based on Alternating Large-scale Non-negativity-constrained Least Squares
Non-negative matrix factorization (NMF) and non-negative tensor factorization (NTF) have attracted much attention and have been successfully applied to numerous data analysis probl...
Hyunsoo Kim, Haesun Park, Lars Eldén
ISCAS
2008
IEEE
217views Hardware» more  ISCAS 2008»
14 years 20 days ago
Approximate L0 constrained non-negative matrix and tensor factorization
— Non-negative matrix factorization (NMF), i.e. V ≈ WH where both V, W and H are non-negative has become a widely used blind source separation technique due to its part based r...
Morten Mørup, Kristoffer Hougaard Madsen, L...
ICA
2007
Springer
14 years 12 days ago
Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization
In the paper we present new Alternating Least Squares (ALS) algorithms for Nonnegative Matrix Factorization (NMF) and their extensions to 3D Nonnegative Tensor Factorization (NTF) ...
Andrzej Cichocki, Rafal Zdunek, Shun-ichi Amari
ICML
2005
IEEE
14 years 7 months ago
Non-negative tensor factorization with applications to statistics and computer vision
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...
Amnon Shashua, Tamir Hazan