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ICPR
2004
IEEE
14 years 8 months ago
Probabilistic Combination of Multiple Modalities to Detect Interest
This paper describes a new approach to combine multiple modalities and applies it to the problem of affect recognition. The problem is posed as a combination of classifiers in a p...
Ashish Kapoor, Rosalind W. Picard, Yuri Ivanov
ICCV
2005
IEEE
14 years 9 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
14 years 2 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic
CVPR
2010
IEEE
14 years 27 days ago
Novel Observation Model for Probabilistic Object Tracking
Treating visual object tracking as foreground and background classification problem has attracted much attention in the past decade. Most methods adopt mean shift or brute force s...
Dawei Liang, Qingming Huang, Hongxun Yao, Shuqiang...
ANOR
2007
92views more  ANOR 2007»
13 years 7 months ago
Portfolio selection with probabilistic utility
We present a novel portfolio selection technique, which replaces the traditional maximization of the utility function with a probabilistic approach inspired by statistical physics....
Robert Marschinski, Pietro Rossi, Massimo Tavoni, ...