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» Learning Probabilistic Models of Link Structure
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EMMCVPR
2007
Springer
15 years 6 months ago
Compositional Object Recognition, Segmentation, and Tracking in Video
Abstract. The complexity of visual representations is substantially limited by the compositional nature of our visual world which, therefore, renders learning structured object mod...
Björn Ommer, Joachim M. Buhmann
TCBB
2008
126views more  TCBB 2008»
14 years 11 months ago
Graphical Models of Residue Coupling in Protein Families
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
John Thomas, Naren Ramakrishnan, Chris Bailey-Kell...
AAAI
2011
13 years 11 months ago
Incorporating Boosted Regression Trees into Ecological Latent Variable Models
Important ecological phenomena are often observed indirectly. Consequently, probabilistic latent variable models provide an important tool, because they can include explicit model...
Rebecca A. Hutchinson, Li-Ping Liu, Thomas G. Diet...
SECON
2010
IEEE
14 years 9 months ago
Secondis: An Adaptive Dissemination Protocol for Synchronizing Wireless Sensor Networks
Reliability and predictability of the timing behavior have shown to be major issues for wireless sensor network deployments. Real-time requirements presented by several application...
Federico Ferrari, Andreas Meier, Lothar Thiele
CVPR
2012
IEEE
13 years 2 months ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis