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» Matching Hierarchical Structures Using Association Graphs
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ISCI
2007
170views more  ISCI 2007»
13 years 7 months ago
Automatic learning of cost functions for graph edit distance
Graph matching and graph edit distance have become important tools in structural pattern recognition. The graph edit distance concept allows us to measure the structural similarit...
Michel Neuhaus, Horst Bunke
INFOCOM
2003
IEEE
14 years 27 days ago
Associative Search in Peer to Peer Networks: Harnessing Latent Semantics
— The success of a P2P file-sharing network highly depends on the scalability and versatility of its search mechanism. Two particularly desirable search features are scope (abil...
Edith Cohen, Amos Fiat, Haim Kaplan
PAMI
2010
205views more  PAMI 2010»
13 years 6 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
ICIP
2004
IEEE
14 years 9 months ago
Deformable structural models
A hierarchical framework for the recognition of complex deformable shapes is developed. In extension to traditional approaches an additional layer of control is introduced to guid...
Klaus D. Tönnies, Stephan Al-Zubi, Steven Ber...
CLOUDCOM
2009
Springer
13 years 11 months ago
Cost-Minimizing Scheduling of Workflows on a Cloud of Memory Managed Multicore Machines
Workflows are modeled as hierarchically structured directed acyclic graphs in which vertices represent computational tasks, referred to as requests, and edges represent precedent c...
Nicolas G. Grounds, John K. Antonio, Jeffrey T. Mu...