Sciweavers

1130 search results - page 108 / 226
» Feature Selection for Complex Patterns
Sort
View
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
14 years 3 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
CVPR
2005
IEEE
14 years 2 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
COMCOM
2000
82views more  COMCOM 2000»
13 years 8 months ago
Experience with RT-LOTOS, a temporal extension of the LOTOS formal description technique
This paper is devoted to the presentation of the RT-LOTOS formal description technique, which is a formalism suited for applications where concurrency, complex synchronization pat...
Jean-Pierre Courtiat, C. A. S. Santos, Christophe ...
SIGSOFT
2005
ACM
14 years 9 months ago
SOBER: statistical model-based bug localization
Automated localization of software bugs is one of the essential issues in debugging aids. Previous studies indicated that the evaluation history of program predicates may disclose...
Chao Liu 0001, Jiawei Han, Long Fei, Samuel P. Mid...
VIS
2007
IEEE
239views Visualization» more  VIS 2007»
14 years 10 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...