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» Feature Selection in Clustering Problems
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CASES
2010
ACM
13 years 7 months ago
Instruction selection by graph transformation
Common generated instruction selections are based on tree pattern matching, but modern and custom architectures feature instructions, which cannot be covered by trees. To overcome...
Sebastian Buchwald, Andreas Zwinkau
CIARP
2009
Springer
14 years 1 months ago
Particle Swarm Model Selection for Authorship Verification
Authorship verification is the task of determining whether documents were or were not written by a certain author. The problem has been faced by using binary classifiers, one per a...
Hugo Jair Escalante, Manuel Montes-y-Gómez,...
ESWA
2007
119views more  ESWA 2007»
13 years 9 months ago
Marketing segmentation using support vector clustering
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...
Jih-Jeng Huang, Gwo-Hshiung Tzeng, Chorng-Shyong O...
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
14 years 3 months ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis
ECCV
2002
Springer
14 years 11 months ago
On Affine Invariant Clustering and Automatic Cast Listing in Movies
Abstract We develop a distance metric for clustering and classification algorithms which is invariant to affine transformations and includes priors on the transformation parameters...
Andrew W. Fitzgibbon, Andrew Zisserman