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CVPR
2007
IEEE
16 years 1 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
GECCO
2007
Springer
164views Optimization» more  GECCO 2007»
16 years 1 months ago
Learning building block structure from crossover failure
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
Zhenhua Li, Erik D. Goodman
AHS
2006
IEEE
138views Hardware» more  AHS 2006»
16 years 1 months ago
Generalized Disjunction Decomposition for the Evolution of Programmable Logic Array Structures
Evolvable hardware refers to a self reconfigurable electronic circuit, where the circuit configuration is under the control of an evolutionary algorithm. Evolvable hardware has sh...
Emanuele Stomeo, Tatiana Kalganova, Cyrille Lamber...
IROS
2006
IEEE
171views Robotics» more  IROS 2006»
16 years 1 months ago
Fast central catadioptric line extraction, estimation, tracking and structure from motion
— In this paper we present an analysis of 3D line projections for central catadioptric cameras from a projective perspective. Most algorithms consider the projection of lines as ...
Christopher Mei, Ezio Malis
GECCO
2005
Springer
142views Optimization» more  GECCO 2005»
16 years 21 days ago
Genetic programming: parametric analysis of structure altering mutation techniques
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
Alan Piszcz, Terence Soule