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» Smooth Optimization for Effective Multiple Kernel Learning
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KDD
2004
ACM
181views Data Mining» more  KDD 2004»
15 years 10 months ago
Column-generation boosting methods for mixture of kernels
We devise a boosting approach to classification and regression based on column generation using a mixture of kernels. Traditional kernel methods construct models based on a single...
Jinbo Bi, Tong Zhang, Kristin P. Bennett
ECCV
2010
Springer
14 years 10 months ago
Fast Optimization for Mixture Prior Models
Abstract. We consider the minimization of a smooth convex function regularized by the mixture of prior models. This problem is generally difficult to solve even each simpler regula...
Junzhou Huang, Shaoting Zhang, Dimitris N. Metaxas
ICRA
2006
IEEE
165views Robotics» more  ICRA 2006»
15 years 3 months ago
Biped Gait Optimization using Spline Function based Probability Model
— A new Estimation of Distribution Algorithm (EDA) with spline kernel function (EDA_S) is proposed to optimize biped gait for a nine-link humanoid robot. Gait synthesis of the bi...
Lingyun Hu, Changjiu Zhou, Zengqi Sun
FPL
2008
Springer
109views Hardware» more  FPL 2008»
14 years 11 months ago
Loop unrolling and shifting for reconfigurable architectures
Loops are an important source of optimization. In this paper, we propose an extension to our work on loop unrolling and loop shifting for reconfigurable architectures. By applying...
Ozana Silvia Dragomir, Todor Stefanov, Koen Bertel...
67
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MM
2005
ACM
134views Multimedia» more  MM 2005»
15 years 3 months ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda