52 search results - page 3 / 11 » Learning Nonlinear Overcomplete Representations for Efficien... |
ECCV
2010
Springer
13 years 9 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
CVPR
2012
IEEE
11 years 7 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...
AAAI
2004
13 years 6 months ago
2004
Representing lexicons and sentences with the subsymbolic approach (using techniques such as Self Organizing Map (SOM) or Artificial Neural Network (ANN)) is a relatively new but i...
WACV
2012
IEEE
12 years 26 days ago
2012
IEEE
We propose an online algorithm based on local sparse representation for robust object tracking. Local image patches of a target object are represented by their sparse codes with a...
ICIP
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...