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90
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ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Human Posture Recognition with Convex Programming
We present a novel human posture recognition method using convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a nove...
Hao Jiang, Ze-Nian Li, Mark S. Drew
138
Voted
BMCBI
2008
208views more  BMCBI 2008»
15 years 20 days ago
GraphFind: enhancing graph searching by low support data mining techniques
Background: Biomedical and chemical databases are large and rapidly growing in size. Graphs naturally model such kinds of data. To fully exploit the wealth of information in these...
Alfredo Ferro, Rosalba Giugno, Misael Mongiov&igra...
111
Voted
ECAI
2006
Springer
15 years 4 months ago
Discovering Missing Background Knowledge in Ontology Matching
Semantic matching determines the mappings between the nodes of two graphs (e.g., ontologies) by computing logical relations (e.g., subsumption) holding among the nodes that corresp...
Fausto Giunchiglia, Pavel Shvaiko, Mikalai Yatskev...
IAAI
2003
15 years 1 months ago
LAW: A Workbench for Approximate Pattern Matching in Relational Data
Pattern matching for intelligence organizations is a challenging problem. The data sets are large and noisy, and there is a flexible and constantly changing notion of what consti...
Michael Wolverton, Pauline Berry, Ian W. Harrison,...
122
Voted
CVPR
2007
IEEE
16 years 2 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren