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» Discriminative Random Fields for Behavior Modeling
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CVPR
2008
IEEE
14 years 10 months ago
Auto-context and its application to high-level vision tasks
The notion of using context information for solving highlevel vision problems has been increasingly realized in the field. However, how to learn an effective and efficient context...
Zhuowen Tu
ACII
2007
Springer
14 years 19 days ago
Recognizing Affective Dimensions from Body Posture
The recognition of affective human communication may be used to provide developers with a rich source of information for creating systems that are capable of interacting well with ...
Andrea Kleinsmith, Nadia Bianchi-Berthouze
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 8 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...
CVPR
2010
IEEE
14 years 4 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
CVPR
2012
IEEE
11 years 11 months ago
Top-down visual saliency via joint CRF and dictionary learning
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
Jimei Yang, Ming-Hsuan Yang