5331 search results - page 857 / 1067 » Algebraic Methods for Optimization Problems |
143
Voted
CVPR
2006
IEEE
16 years 4 months ago
2006
IEEE
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
177
Voted
ECCV
2008
Springer
16 years 25 days ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
105
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ICCAD
2002
IEEE
15 years 11 months ago
2002
IEEE
We propose to introduce redundant interconnects for manufacturing yield and reliability improvement. By introducing redundant interconnects, the potential for open faults is reduc...
142
Voted
AAAI
2012
13 years 4 months ago
2012
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
119
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ECCV
2002
Springer
16 years 4 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...