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CVPR
2011
IEEE
15 years 6 days 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
IJWBC
2011
88views more  IJWBC 2011»
14 years 11 months ago
Personal profiles: enhancing social interaction in learning networks
Nowadays, we witness a surge of online profiling sites; in them people make their profile available to others with the intention to share it and get in touch with others, find old ...
Adriana J. Berlanga, Marlies Bitter-Rijpkema, Fran...
AP2PC
2003
Springer
15 years 9 months ago
Group Formation Among Peer-to-Peer Agents: Learning Group Characteristics
This paper examines the decentralized formation of groups within a peer-to-peer multi-agent system. More specifically, it frames group formation as a clustering problem, and exami...
Elth Ogston, Benno J. Overeinder, Maarten van Stee...
UAI
1996
15 years 5 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Kathryn B. Laskey, Laura Martignon
PR
2010
147views more  PR 2010»
15 years 2 months ago
Minimum classification error learning for sequential data in the wavelet domain
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted ...
D. Tomassi, Diego H. Milone, L. Forzani