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» A Hierarchical Clustering Method for Semantic Knowledge Base...
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81
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DLOG
2007
15 years 2 months ago
Induction of Optimal Semi-distances for Individuals based on Feature Sets
Abstract. Many activities related to semantically annotated resources can be enabled by a notion of similarity among them. We propose a method for defining a family of semi-distan...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
118
Voted
MIR
2003
ACM
113views Multimedia» more  MIR 2003»
15 years 5 months ago
Semantic-meaningful content-based image retrieval in wavelet domain
In this paper, we propose a semantic-meaningful approach for region-based image retrieval in image database. Our retrieval system is based on wavelet transform for its decompositi...
Yongqing Sun, Shinji Ozawa
101
Voted
IJBRA
2008
63views more  IJBRA 2008»
15 years 17 days ago
Protein cavity clustering based on community structure of pocket similarity network
: Functions of a protein are mainly determined by its structure. Surface cavities, also called pockets or clefts, are ordinarily regarded as potentially active sites where the prot...
Zhi-Ping Liu, Ling-Yun Wu, Yong Wang, Xiang-Sun Zh...
SMI
2008
IEEE
126views Image Analysis» more  SMI 2008»
15 years 7 months ago
SHREC'08 entry: Semi-supervised learning for semantic 3D model retrieval
A shape feature by itself is not sufficient for effective 3D model retrieval. Long-lasting semantics shared by a community as well as a short-lived intention of a user determines ...
Akihiro Yamamoto, Masaki Tezuka, Toshiya Shimizu, ...
GLOBECOM
2006
IEEE
15 years 6 months ago
Toposemantic Network Clustering
— We study the problem of building an optimal network-layer clustering hierarchy, where the optimality can be defined using three potentially conflicting metrics: state, delay ...
Leonid B. Poutievski, Kenneth L. Calvert, Jim Grif...