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» Game Theory with Costly Computation
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154
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GECCO
2010
Springer
244views Optimization» more  GECCO 2010»
15 years 1 months ago
Implicit fitness and heterogeneous preferences in the genetic algorithm
This paper takes an economic approach to derive an evolutionary learning model based entirely on the endogenous employment of genetic operators in the service of self-interested a...
Justin T. H. Smith
NIPS
2000
15 years 3 months ago
High-temperature Expansions for Learning Models of Nonnegative Data
Recent work has exploited boundedness of data in the unsupervised learning of new types of generative model. For nonnegative data it was recently shown that the maximum-entropy ge...
Oliver B. Downs
FUIN
2008
112views more  FUIN 2008»
15 years 1 months ago
A New Probabilistic Approach for Fractal Based Image Compression
Abstract. Approximation of an image by the attractor evolved through iterations of a set of contractive maps is usually known as fractal image compression. The set of maps is calle...
Suman K. Mitra, Malay Kumar Kundu, C. A. Murthy, B...
100
Voted
CEC
2007
IEEE
15 years 8 months ago
A fractal representation for real optimization
— The chaos game, in which a moving point is repeatedly averaged toward randomly selected vertices of a triangle, is one method of generating the fractal called the Sierpinski tr...
Daniel A. Ashlock, Justin Schonfeld
PCM
2007
Springer
160views Multimedia» more  PCM 2007»
15 years 7 months ago
3D Tracking of a Soccer Ball Using Two Synchronized Cameras
Abstract. We propose an adaptive method that can estimate 3D position of a soccer ball by using two viewpoint videos. The 3D position of a ball is essential to realize a 3D free vi...
Norihiro Ishii, Itaru Kitahara, Yoshinari Kameda, ...