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IJCNN
2006
IEEE
14 years 1 months ago
C2FS: An Algorithm for Feature Selection in Cascade Neural Networks
Wrapper-based feature selection is attractive because wrapper methods are able to optimize the features they select to the specific learning algorithm. Unfortunately, wrapper met...
Lars Backstrom, Rich Caruana
ICMCS
2009
IEEE
126views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Sort-Merge feature selection and fusion methods for classification of unstructured video
We explore the problem of rapid automatic semantic tagging of video frames of unstructured (unedited) videos. We apply the Sort-Merge algorithm for feature selection on a large (&...
Mitchell J. Morris, John R. Kender
ISNN
2007
Springer
14 years 1 months ago
Memetic Algorithms for Feature Selection on Microarray Data
In this paper, we present two novel memetic algorithms (MAs) for gene selection. Both are synergies of Genetic Algorithm (wrapper methods) and local search methods (filter methods...
Zexuan Zhu, Yew-Soon Ong
ICNC
2005
Springer
14 years 1 months ago
On Evolutionary Optimization of Large Problems Using Small Populations
Abstract. Small populations are very desirable for reducing the required computational resources in evolutionary optimization of complex real-world problems. Unfortunately, the sea...
Yaochu Jin, Markus Olhofer, Bernhard Sendhoff
3DIM
2001
IEEE
13 years 11 months ago
Range Image Registration: A Software Platform and Empirical Evaluation
Building 3D models of real-world objects by assembling views taken by a range sensor promises to be a more efficient method than manually producing CAD drawings. In this technique...
Gerald Dalley, Patrick J. Flynn