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ML
2000
ACM
244views Machine Learning» more  ML 2000»
13 years 9 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski
AMAST
2006
Springer
14 years 1 months ago
Reasoning About Data-Parallel Pointer Programs in a Modal Extension of Separation Logic
This paper proposes a modal extension of Separation Logic [8, 11] for reasoning about data-parallel programs that manipulate heap allocated linked data structures. Separation Logi...
Susumu Nishimura
LISP
2002
81views more  LISP 2002»
13 years 9 months ago
Linear Continuation-Passing
Abstract. Continuations can be used to explain a wide variety of control behaviours, including calling/returning (procedures), raising/handling (exceptions), labelled jumping (goto...
Josh Berdine, Peter W. O'Hearn, Uday S. Reddy, Hay...
AMC
2007
115views more  AMC 2007»
13 years 10 months ago
Evolutionary programming based on non-uniform mutation
Abstract–A new evolutionary programming algorithm (NEP) using the non-uniform mutation operator instead of Gaussian or Cauchy mutation operators is proposed. NEP has the merits o...
Xinchao Zhao, Xiao-Shan Gao, Ze-Chun Hu
IJPRAI
2008
235views more  IJPRAI 2008»
13 years 9 months ago
Shape-Based Individual/Group Detection for Sport Videos Categorization
We present a shape based method for automatic people detection and counting without any assumption or knowledge of camera motion. The proposed method is applied to athletic videos...
Costas Panagiotakis, Emmanuel Ramasso, Georgios Tz...