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» On the symmetry function of a convex set
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JMLR
2010
161views more  JMLR 2010»
14 years 6 months ago
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
We consider regularized stochastic learning and online optimization problems, where the objective function is the sum of two convex terms: one is the loss function of the learning...
Lin Xiao
BMCBI
2008
228views more  BMCBI 2008»
14 years 11 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
81
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COCOON
2005
Springer
15 years 4 months ago
Min-Energy Voltage Allocation for Tree-Structured Tasks
Westudyjobschedulingonprocessorscapableofrunningatvariablevoltage/speed tominimizeenergyconsumption.Eachjob ina probleminstanceisspecifiedbyitsarrivaltime and deadline, together w...
Minming Li, Becky Jie Liu, Frances F. Yao
CVPR
1998
IEEE
16 years 1 months ago
Segmentation by Grouping Junctions
We propose a methodfor segmenting gray-value images. By segmentation, we mean a map from the set of pixels to a small set of levels such that each connected component of the set o...
Hiroshi Ishikawa 0002, Davi Geiger
CORR
2010
Springer
174views Education» more  CORR 2010»
14 years 11 months ago
Fractional generalizations of Young and Brunn-Minkowski inequalities
A generalization of Young's inequality for convolution with sharp constant is conjectured for scenarios where more than two functions are being convolved, and it is proven for...
Sergey Bobkov, Mokshay M. Madiman, Liyao Wang