74 search results - page 8 / 15 » Learning sparse metrics via linear programming |
CVPR
2008
IEEE
13 years 9 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
UAI
2008
13 years 9 months ago
2008
Identifying co-varying causal elements in very high dimensional feature space with internal structures, e.g., a space with as many as millions of linearly ordered features, as one...
KDD
2007
ACM
14 years 8 months ago
2007
ACM
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper addresses source separation from a linear mixture under two assumptions: source sparsity and orthogonality of the mixing matrix. We propose efficient sparse separation...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...