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» On Partitional Labelings of Graphs
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80
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ICPR
2006
IEEE
16 years 1 months ago
Bayesian Feedback in Data Clustering
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...
Anil K. Jain, Pavan Kumar Mallapragada, Martin H. ...
104
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SIAMDM
2008
122views more  SIAMDM 2008»
15 years 16 days ago
Cycle Systems in the Complete Bipartite Graph Plus a One-Factor
Let Kn,n denote the complete bipartite graph with n vertices in each partite set and Kn,n +I denote Kn,n with a 1-factor added. It is proved in this paper that there exists an m-c...
Liqun Pu, Hao Shen, Jun Ma, San Ling
87
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DSD
2010
IEEE
135views Hardware» more  DSD 2010»
15 years 25 days ago
An Approximate Maximum Common Subgraph Algorithm for Large Digital Circuits
—This paper presents an approximate Maximum Common Subgraph (MCS) algorithm, specifically for directed, cyclic graphs representing digital circuits. Because of the application d...
Jochem H. Rutgers, Pascal T. Wolkotte, Philip K. F...
ALMOB
2006
89views more  ALMOB 2006»
15 years 21 days ago
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
Katharina Anna Lehmann, Michael Kaufmann, Stephan ...
CVPR
2011
IEEE
14 years 8 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell