9 search results - page 1 / 2 » Identifiability Conditions and Subspace Clustering in Sparse... |
ICA
2007
Springer
13 years 11 months ago
2007
Springer
ICA
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
ICASSP
2010
IEEE
13 years 8 days ago
2010
IEEE
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
Several application domains such as molecular biology and geography produce a tremendous amount of data which can no longer be managed without the help of efficient and effective ...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...