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» Prototype Learning with Attributed Relational Graphs
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CVPR
2007
IEEE
14 years 8 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
IJBIDM
2010
80views more  IJBIDM 2010»
13 years 4 months ago
Practical algorithms for subgroup detection in covert networks
: In this paper, we present algorithms for subgroup detection and demonstrated them with a real-time case study of USS Cole bombing terrorist network. The algorithms are demonstrat...
Nasrullah Memon, Uffe Kock Wiil, Abdul Rasool Qure...
ICML
2005
IEEE
14 years 7 months ago
Learning first-order probabilistic models with combining rules
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
Sriraam Natarajan, Prasad Tadepalli, Eric Altendor...
ICML
2007
IEEE
14 years 7 months ago
Recovering temporally rewiring networks: a model-based approach
A plausible representation of relational information among entities in dynamic systems such as a living cell or a social community is a stochastic network which is topologically r...
Fan Guo, Steve Hanneke, Wenjie Fu, Eric P. Xing
PVLDB
2010
161views more  PVLDB 2010»
13 years 4 months ago
Annotating and Searching Web Tables Using Entities, Types and Relationships
Tables are a universal idiom to present relational data. Billions of tables on Web pages express entity references, attributes and relationships. This representation of relational...
Girija Limaye, Sunita Sarawagi, Soumen Chakrabarti