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» Feature selection through gravitational search algorithm
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ACSC
2003
IEEE
15 years 5 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
TOIS
2008
145views more  TOIS 2008»
14 years 11 months ago
Classification-aware hidden-web text database selection
Many valuable text databases on the web have non-crawlable contents that are "hidden" behind search interfaces. Metasearchers are helpful tools for searching over multip...
Panagiotis G. Ipeirotis, Luis Gravano
ICML
2004
IEEE
16 years 20 days ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu
SIGIR
2010
ACM
15 years 3 months ago
Effective music tagging through advanced statistical modeling
Music information retrieval (MIR) holds great promise as a technology for managing large music archives. One of the key components of MIR that has been actively researched into is...
Jialie Shen, Wang Meng, Shuichang Yan, HweeHwa Pan...
CGF
2008
144views more  CGF 2008»
14 years 12 months ago
Deformation-Driven Shape Correspondence
Non-rigid 3D shape correspondence is a fundamental and difficult problem. Most applications which require a correspondence rely on manually selected markers. Without user assistan...
Hao Zhang 0002, Alla Sheffer, Daniel Cohen-Or, Qua...