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WEBI
2009
Springer
14 years 2 months ago
Rigorous Probabilistic Trust-Inference with Applications to Clustering
The World Wide Web has transformed into an environment where users both produce and consume information. In order to judge the validity of information, it is important to know how...
Thomas DuBois, Jennifer Golbeck, Aravind Srinivasa...
ASWC
2006
Springer
13 years 11 months ago
Finding Important Vocabulary Within Ontology
In current Semantic Web community, some researches have been done on ranking ontologies, while very little is paid to ranking vocabularies within ontology. However, finding importa...
Xiang Zhang, Hongda Li, Yuzhong Qu
VLDB
1998
ACM
144views Database» more  VLDB 1998»
13 years 12 months ago
Proximity Search in Databases
An information retrieval IR engine can rank documents based on textual proximityof keywords within each document. In this paper we apply this notion to search across an entire dat...
Roy Goldman, Narayanan Shivakumar, Suresh Venkatas...
FGR
2011
IEEE
354views Biometrics» more  FGR 2011»
12 years 11 months ago
Hierarchical ranking of facial attributes
Abstract— We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; l...
Ankur Datta, Rogerio Feris, Daniel A. Vaquero
HICSS
2008
IEEE
199views Biometrics» more  HICSS 2008»
14 years 2 months ago
Clustering and the Biclique Partition Problem
A technique for clustering data by common attribute values involves grouping rows and columns of a binary matrix to make the minimum number of submatrices all 1’s. As binary mat...
Doina Bein, Linda Morales, Wolfgang W. Bein, C. O....