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ICML
2010
IEEE
14 years 11 months ago
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extre...
Stanley Kok, Pedro Domingos
CVPR
2007
IEEE
15 years 12 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
ACL
2012
13 years 8 days ago
A Nonparametric Bayesian Approach to Acoustic Model Discovery
We investigate the problem of acoustic modeling in which prior language-specific knowledge and transcribed data are unavailable. We present an unsupervised model that simultaneou...
Chia-ying Lee, James R. Glass
WWW
2005
ACM
15 years 10 months ago
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in ...
Yolanda Blanco-Fernández, José J. Pa...
CANDC
2004
ACM
14 years 9 months ago
Retrieving definitional content for ontology development
Ontology construction requires an understanding of the meaning and usage of its encoded concepts. While definitions found in dictionaries or glossaries may be adequate for many co...
Lawrence H. Smith, W. John Wilbur