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ADMA
2006
Springer
127views Data Mining» more  ADMA 2006»
16 years 20 days ago
Feature Selection for Complex Patterns
Feature selection is an important data preprocessing step in data mining and pattern recognition. Many algorithms have been proposed in the past for simple patterns that can be cha...
Peter Schenkel, Wanqing Li, Wanquan Liu
MM
2010
ACM
192views Multimedia» more  MM 2010»
15 years 6 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
JMM2
2008
124views more  JMM2 2008»
15 years 6 months ago
Integrated Feature Selection and Clustering for Taxonomic Problems within Fish Species Complexes
As computer and database technologies advance rapidly, biologists all over the world can share biologically meaningful data from images of specimens and use the data to classify th...
Huimin Chen, Henry L. Bart Jr., Shuqing Huang
TIP
2011
137views more  TIP 2011»
15 years 1 months ago
Boosting Color Feature Selection for Color Face Recognition
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
Jae Young Choi, Yong Man Ro, Konstantinos N. Plata...
ICSE
2003
IEEE-ACM
16 years 6 months ago
DADO: Enhancing Middleware to Support Crosscutting Features in Distributed, Heterogeneous Systems
Some "non-' or "extra-functional" features, such as reliability, security, and tracing, defy modularization mechanisms in programming languages. This makes suc...
Eric Wohlstadter, Stoney Jackson, Premkumar T. Dev...