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123
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SIAMSC
2008
145views more  SIAMSC 2008»
15 years 3 months ago
Fast Multilevel Algorithm for a Minimization Problem in Impulse Noise Removal
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
Raymond H. Chan, Ke Chen 0002
110
Voted
CORR
2002
Springer
111views Education» more  CORR 2002»
15 years 3 months ago
The Fastest and Shortest Algorithm for All Well-Defined Problems
An algorithm M is described that solves any well-defined problem p as quickly as the fastest algorithm computing a solution to p, save for a factor of 5 and loworder additive term...
Marcus Hutter
122
Voted
GECCO
2007
Springer
157views Optimization» more  GECCO 2007»
15 years 9 months ago
Global multiobjective optimization via estimation of distribution algorithm with biased initialization and crossover
Multiobjective optimization problems with many local Pareto fronts is a big challenge to evolutionary algorithms. In this paper, two operators, biased initialization and biased cr...
Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sen...
DAC
1995
ACM
15 years 7 months ago
Code Optimization Techniques for Embedded DSP Microprocessors
—We address the problem of code optimization for embedded DSP microprocessors. Such processors (e.g., those in the TMS320 series) have highly irregular datapaths, and conventiona...
Stan Y. Liao, Srinivas Devadas, Kurt Keutzer, Stev...
144
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Ergodic stochastic optimization algorithms for wireless communication and networking
— Ergodic stochastic optimization (ESO) algorithms are proposed to solve resource allocation problems that involve a random state and where optimality criteria are expressed in t...
Alejandro Ribeiro