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PAMI
2010
200views more  PAMI 2010»
15 years 2 months ago
Learning Context-Sensitive Shape Similarity by Graph Transduction
—Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors...
Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu...
IC
2003
15 years 5 months ago
Metasearch Via the Co-Citation Graph
—In spite of numerous search engines available on the web, no single engine is capable of performing “better” under all circumstances. This being the case, metasearch engines...
Hyun-Chul Lee
DEXA
2004
Springer
106views Database» more  DEXA 2004»
15 years 9 months ago
A Graph-Based Data Model to Represent Transaction Time in Semistructured Data
Abstract. In this paper we propose the Graphical sEmistructured teMporal data model (GEM), which is based on labeled graphs and allows one to represent in a uniform way semistructu...
Carlo Combi, Barbara Oliboni, Elisa Quintarelli
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
16 years 4 months ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
DASFAA
2005
IEEE
141views Database» more  DASFAA 2005»
15 years 10 months ago
Learning Tree Augmented Naive Bayes for Ranking
Naive Bayes has been widely used in data mining as a simple and effective classification algorithm. Since its conditional independence assumption is rarely true, numerous algorit...
Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su