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» Identifying Objects Using Cluster and Concept Analysis
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JCB
2008
170views more  JCB 2008»
14 years 9 months ago
Efficiently Identifying Max-Gap Clusters in Pairwise Genome Comparison
The spatial clustering of genes across different genomes has been used to study important problems in comparative genomics, from identification of operons to detection of homologo...
Xu Ling, Xin He, Dong Xin, Jiawei Han
HPCC
2007
Springer
15 years 3 months ago
Maximum-Objective-Trust Clustering Solution and Analysis in Mobile Ad Hoc Networks
In mobile-AdHoc networks (MANETs), many applications need the support of layer-structure. Clustering solution is the most widely used layerstructure and the choosing of clusterhead...
Qiang Zhang, Guangming Hu, Zhenghu Gong
SEKE
2007
Springer
15 years 3 months ago
Adjudicator: A Statistical Approach for Learning Ontology Concepts from Peer Agents
— We present a statistical approach for software agents to learn ontology concepts from peer agents by asking them whether they can reach consensus on significant differences bet...
Behrouz Homayoun Far, Abdel Halim Elamy, Nora Houa...
DLOG
2008
14 years 11 months ago
Identifying Objects Over Time with Description Logics
A fundamental requirement for cooperating agents is to agree on a selection of component values of objects that can be used for reliably communicating references to the objects, to...
David Toman, Grant E. Weddell
ICPR
2006
IEEE
15 years 10 months ago
Learning Policies for Efficiently Identifying Objects of Many Classes
Viola and Jones (VJ) cascade classification methods have proven to be very successful in detecting objects belonging to a single class -- e.g., faces. This paper addresses the mor...
Ahmed M. Elgammal, Ramana Isukapalli, Russell Grei...