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» Learning Overcomplete Representations
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WACV
2012
IEEE
12 years 4 months ago
Online discriminative object tracking with local sparse representation
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...
Qing Wang, Feng Chen, Wenli Xu, Ming-Hsuan Yang
ICPR
2004
IEEE
14 years 9 months ago
Hierarchical Object Indexing and Sequential Learning
This work is about scene interpretation in the sense of detecting and localizing instances from multiple object classes. We concentrate on object indexing: generate an over-comple...
Donald Geman, Xiaodong Fan
CVPR
2011
IEEE
13 years 9 days ago
A Non-convex Relaxation Approach to Sparse Dictionary Learning
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
Jianping Shi, Xiang Ren, Jingdong Wang, Guang Dai,...
ICIP
2009
IEEE
14 years 9 months ago
Color De-quantizing Through Iterated Dynamic Hard Thresholding On An Overcomplete Representation
We propose a new color de-quantizing method for paletted images based on maximizing the sparseness of the overcomplete wavelet analysis of the estimation within the consistency se...
DCC
2008
IEEE
13 years 8 months ago
Coding Overcomplete Representations of Audio Using the MCLT
We propose a system for audio coding using the modulated complex lapped transform (MCLT). In general, it is difficult to encode signals using overcomplete representations without ...
Byung-Jun Yoon, Henrique S. Malvar