654 search results - page 25 / 131 » TRUST-TECH based Methods for Optimization and Learning |
127
Voted
BMVC
2010
14 years 7 months ago
2010
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
94
Voted
PR
2007
15 years 4 days ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
185
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NIPS
2008
15 years 2 months ago
2008
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
105
click to vote
MMM
2009
Springer
15 years 7 months ago
2009
Springer
In this paper, we present a novel multiple kernel method to learn the optimal classification function for visual concept. Although many carefully designed kernels have been propose...
157
Voted
AI
1998
Springer
15 years 10 days ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...