99 search results - page 3 / 20 » Improved RGF method to find saddle points |
107
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TNN
2010
14 years 4 months ago
2010
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
130
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CVGIP
2002
14 years 9 months ago
2002
Detecting dominant points is an important step for shape representation. Most of dominant point detection methods attend to preset or find the region of support of each point. In ...
AAAI
2010
14 years 11 months ago
2010
Multiple Kernel Learning (MKL) can be formulated as a convex-concave minmax optimization problem, whose saddle point corresponds to the optimal solution to MKL. Most MKL methods e...
TIT
2008
14 years 9 months ago
2008
One-to-one codes are "one shot" codes that assign a distinct codeword to source symbols and are not necessarily prefix codes (more generally, uniquely decodable). For ex...
ECCV
2002
Springer
15 years 11 months ago
2002
Springer
Getting trapped in suboptimal local minima is a perennial problem in model based vision, especially in applications like monocular human body tracking where complex nonlinear para...