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» A selective sampling approach to active feature selection
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ICIP
2005
IEEE
15 years 11 months ago
An active regions approach for the segmentation of 3D biological tissue
Some of the most successful algorithms for the automated segmentation of images use an Active Regions approach, where a curve is evolved so as to maximize the disparity of its int...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...
PR
2007
96views more  PR 2007»
14 years 9 months ago
Style-preserving English handwriting synthesis
This paper presents a novel and effective approach to synthesize English handwriting in the user’s writing style. We select the most important features that depict the handwriti...
Zhouchen Lin, Liang Wan
SARA
2007
Springer
15 years 4 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
AAAI
2007
15 years 9 days ago
Actively Exploring Creation of Face Space(s) for Improved Face Recognition
We propose a learning framework that actively explores creation of face space(s) by selecting images that are complementary to the images already represented in the face space. We...
Nitesh V. Chawla, Kevin W. Bowyer
EUROCAST
2003
Springer
105views Hardware» more  EUROCAST 2003»
15 years 3 months ago
A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms
In this paper we introduce a new generic selection method for Genetic Algorithms. The main difference of this selection principle in contrast to conventional selection models is g...
Michael Affenzeller, Stefan Wagner 0002