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» Function Optimization with Coevolutionary Algorithms
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JMIV
2007
83views more  JMIV 2007»
15 years 1 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
CORR
2004
Springer
103views Education» more  CORR 2004»
15 years 1 months ago
Online convex optimization in the bandit setting: gradient descent without a gradient
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
Abraham Flaxman, Adam Tauman Kalai, H. Brendan McM...
ISCAS
2003
IEEE
83views Hardware» more  ISCAS 2003»
15 years 6 months ago
An Integrated Framework of Design Optimization and Space Minimization for DSP applications
This paper presents an Integrated Framework of Design Optimization and Space Minimization (IDOM) for generating the minimum number of functional units with schedule length and mem...
Qingfeng Zhuge, Edwin Hsing-Mean Sha, Chantana Cha...
ICML
2010
IEEE
14 years 11 months ago
Learning optimally diverse rankings over large document collections
Most learning to rank research has assumed that the utility of different documents is independent, which results in learned ranking functions that return redundant results. The fe...
Aleksandrs Slivkins, Filip Radlinski, Sreenivas Go...
TNN
2010
155views Management» more  TNN 2010»
14 years 8 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...