654 search results - page 63 / 131 » TRUST-TECH based Methods for Optimization and Learning |
128
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
111
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
120
click to vote
CVPR
2010
IEEE
15 years 6 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
167
Voted
CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
123
Voted
ECCV
2008
Springer
16 years 2 months ago
2008
Springer
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...