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» Notes on computing minimal approximant bases
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ICCV
2009
IEEE
15 years 2 months ago
Keyframe-Based Real-Time Camera Tracking
We present a novel keyframe selection and recognition method for robust markerless real-time camera tracking. Our system contains an ofine module to select features from a grou...
Zilong Dong, Guofeng Zhang, Jiaya Jia, Hujun Bao
IPPS
2009
IEEE
14 years 4 months ago
Combining multiple heuristics on discrete resources
—In this work we study the portfolio problem which is to find a good combination of multiple heuristics to solve given instances on parallel resources in minimum time. The resou...
Marin Bougeret, Pierre-François Dutot, Alfr...
CVPR
2000
IEEE
14 years 12 months ago
A General Method for Errors-in-Variables Problems in Computer Vision
The Errors-in-Variables (EIV) model from statistics is often employed in computer vision thoughonlyrarely under this name. In an EIV model all the measurements are corrupted by no...
Bogdan Matei, Peter Meer
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 1 months ago
Standard and averaging reinforcement learning in XCS
This paper investigates reinforcement learning (RL) in XCS. First, it formally shows that XCS implements a method of generalized RL based on linear approximators, in which the usu...
Pier Luca Lanzi, Daniele Loiacono
ICML
2010
IEEE
13 years 11 months ago
Boosting Classifiers with Tightened L0-Relaxation Penalties
We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Noam Goldberg, Jonathan Eckstein