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CVPR
2010
IEEE
1790views Computer Vision» more  CVPR 2010»
14 years 6 months ago
Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs
We introduce a novel data-driven mean-shift belief propagation (DDMSBP) method for non-Gaussian MRFs, which often arise in computer vision applications. With the aid of scale sp...
Minwoo Park, S. Kashyap, R. Collins, and Y. Liu
CEC
2008
IEEE
14 years 4 months ago
Natural Evolution Strategies
— This paper presents Natural Evolution Strategies (NES), a novel algorithm for performing real-valued ‘black box’ function optimization: optimizing an unknown objective func...
Daan Wierstra, Tom Schaul, Jan Peters, Jürgen...
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
14 years 1 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 11 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt
CGO
2008
IEEE
14 years 4 months ago
Cole: compiler optimization level exploration
Modern compilers implement a large number of optimizations which all interact in complex ways, and which all have a different impact on code quality, compilation time, code size,...
Kenneth Hoste, Lieven Eeckhout