2631 search results - page 9 / 527 » A Practical Method for the Sparse Resultant |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
JMLR
2006
13 years 7 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
PR
2010
13 years 6 months ago
2010
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
ICASSP
2010
IEEE
13 years 8 months ago
2010
IEEE
A new method is introduced that makes use of sparse image representations to search for approximate nearest neighbors (ANN) under the normalized inner-product distance. The approa...
IPPS
1997
IEEE
13 years 12 months ago
1997
IEEE
Several methods have been proposed in the literature for the distribution of data on distributed memory machines, either oriented to dense or sparse structures. Many of the real a...