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» An Adaptive Supersampling Method
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CEC
2010
IEEE
13 years 7 months ago
Gaussian Adaptation as a unifying framework for continuous black-box optimization and adaptive Monte Carlo sampling
Abstract— We present a unifying framework for continuous optimization and sampling. This framework is based on Gaussian Adaptation (GaA), a search heuristic developed in the late...
Christian L. Müller, Ivo F. Sbalzarini
ICNC
2005
Springer
14 years 2 months ago
An Incremental Learning Method Based on SVM for Online Sketchy Shape Recognition
This paper presents briefly an incremental learning method based on SVM for online sketchy shape recognition. It can collect all classified results corrected by user and select som...
Zhengxing Sun, Lisha Zhang, Enyi Tang
ICONIP
1998
13 years 10 months ago
Statistical Methods for Construction of Neural Networks
Despite all the progress in neural networks the technology is still brittle and sometimes difficult to apply. Automatic construction of networks and proper initialization of their...
Wlodzislaw Duch, Rafal Adamczak
COR
1999
99views more  COR 1999»
13 years 8 months ago
Applications of modern heuristic search methods to pattern sequencing problems
This article describes applications of modern heuristic search methods to pattern sequencing problems, i.e., problems seeking for a permutation of the rows of a given matrix with r...
Andreas Fink, Stefan Voß
CIS
2005
Springer
14 years 2 months ago
A Naive Statistics Method for Electronic Program Guide Recommendation System
Abstract. In this paper, we propose a naive statistics method for constructing a personalized recommendation system for the Electronic Program Guide (EPG). The idea is based on a p...
Jin An Xu, Kenji Araki