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UAI
2008
13 years 6 months ago
Inference for Multiplicative Models
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
Ydo Wexler, Christopher Meek
CVIU
2004
132views more  CVIU 2004»
13 years 5 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
FGR
2004
IEEE
129views Biometrics» more  FGR 2004»
13 years 9 months ago
Multiple Frame Motion Inference Using Belief Propagation
We present an algorithm for automatic inference of human upper body motion. A graph model is proposed for inferring human motion, and motion inference is posed as a mapping proble...
Jiang Gao, Jianbo Shi
MM
2006
ACM
113views Multimedia» more  MM 2006»
13 years 11 months ago
Transductive inference using multiple experts for brushwork annotation in paintings domain
Many recent studies perform annotation of paintings based on brushwork. In these studies the brushwork is modeled indirectly as part of the annotation of high-level artistic conce...
Yelizaveta Marchenko, Tat-Seng Chua, Ramesh Jain
CVPR
2004
IEEE
14 years 7 months ago
Inference of Multiple Subspaces from High-Dimensional Data and Application to Multibody Grouping
Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
Zhimin Fan, Jie Zhou, Ying Wu