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» Feature selection based on the training set manipulation
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BMCBI
2005
126views more  BMCBI 2005»
15 years 4 months ago
GANN: Genetic algorithm neural networks for the detection of conserved combinations of features in DNA
Background: The multitude of motif detection algorithms developed to date have largely focused on the detection of patterns in primary sequence. Since sequence-dependent DNA struc...
Robert G. Beiko, Robert L. Charlebois
MM
2010
ACM
265views Multimedia» more  MM 2010»
15 years 4 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
CIKM
2009
Springer
15 years 8 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
ACL
2009
15 years 2 months ago
Dependency Based Chinese Sentence Realization
This paper describes log-linear models for a general-purpose sentence realizer based on dependency structures. Unlike traditional realizers using grammar rules, our method realize...
Wei He, Haifeng Wang, Yuqing Guo, Ting Liu
ICMCS
2005
IEEE
177views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Comparison of Visual Features and Fusion Techniques in Automatic Detection of Concepts from News Video
This study describes experiments on automatic detection of semantic concepts, which are textual descriptions about the digital video content. The concepts can be further used in c...
Mika Rautiainen, Tapio Seppänen