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» Evaluating Adaptive Problem Selection
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CVPR
2010
IEEE
14 years 2 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...
PE
2006
Springer
158views Optimization» more  PE 2006»
13 years 8 months ago
Performance evaluation of multiple-rate mobile ad hoc networks
Existing wireless networks usually provide multiple data transmission rates. This paper presents a simulation study on the performance of multiple-rate mobile ad hoc networks (MAN...
Gang Ding, Xiaoxin Wu, Bharat K. Bhargava
CGI
2006
IEEE
14 years 3 months ago
Near-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfaces
Abstract. A new adaptive tessellation method for general CatmullClark subdivision surfaces is presented. Development of the new method is based on the observation that optimum adap...
Shuhua Lai, Fuhua (Frank) Cheng
IJCV
1998
238views more  IJCV 1998»
13 years 8 months ago
Feature Detection with Automatic Scale Selection
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if one aims at describing them. It shows that the not...
Tony Lindeberg
INFORMS
1998
100views more  INFORMS 1998»
13 years 8 months ago
Feature Selection via Mathematical Programming
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
Paul S. Bradley, Olvi L. Mangasarian, W. Nick Stre...