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» Feature selection through gravitational search algorithm
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CVPR
2008
IEEE
15 years 11 months ago
Discovering class specific composite features through discriminative sampling with Swendsen-Wang Cut
This paper proposes a novel approach to discover a set of class specific "composite features" as the feature pool for the detection and classification of complex objects...
Feng Han, Ying Shan, Harpreet S. Sawhney, Rakesh K...
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
14 years 10 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
ACG
2009
Springer
15 years 4 months ago
Automated Discovery of Search-Extension Features
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
Pálmi Skowronski, Yngvi Björnsson, Mar...
FLAIRS
2008
14 years 11 months ago
Unsupervised Approach for Selecting Sentences in Query-based Summarization
When a user is served with a ranked list of relevant documents by the standard document search engines, his search task is usually not over. He has to go through the entire docume...
Yllias Chali, Shafiq R. Joty
GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
14 years 10 months ago
Evolutionary facial feature selection
With the growing number of acquired physiological and behavioral biometric samples, biometric data sets are experiencing tremendous growth. As database sizes increase, exhaustive ...
Aaron K. Baughman