534 search results - page 1 / 107 » Data Separation by Sparse Representations |
NIPS
2003
13 years 5 months ago
2003
In this paper, sparse representation (factorization) of a data matrix is first discussed. An overcomplete basis matrix is estimated by using the K−means method. We have proved ...
CORR
2011
Springer
12 years 11 months ago
2011
Springer
ICIP
2009
IEEE
14 years 5 months ago
2009
IEEE
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...
ISNN
2007
Springer
13 years 10 months ago
2007
Springer
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...
ICONIP
2007
13 years 5 months ago
2007
In the paper, we present a new approach to multi-way Blind Source Separation (BSS) and corresponding 3D tensor factorization that has many potential applications in neuroscience an...