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» Boosting Methods for Regression
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CVPR
2004
IEEE
14 years 12 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
WACV
2008
IEEE
14 years 4 months ago
Locally Adjusted Robust Regression for Human Age Estimation
Automatic human age estimation has considerable potential applications in human computer interaction and multimedia communication. However, the age estimation problem is challengi...
Guodong Guo, Yun Fu, Thomas S. Huang, Charles R. D...
FSS
2002
125views more  FSS 2002»
13 years 9 months ago
An "orderwise" polynomial regression procedure for fuzzy data
In this work we study approximation of fuzzy functions on a finite set of distinct points. Two types of approximation are considered, one method based on fuzzy linear programming p...
Pierpaolo D'Urso, Tommaso Gastaldi
ETVC
2008
13 years 11 months ago
Intrinsic Geometries in Learning
In a seminal paper, Amari (1998) proved that learning can be made more efficient when one uses the intrinsic Riemannian structure of the algorithms' spaces of parameters to po...
Richard Nock, Frank Nielsen
ACCV
2007
Springer
14 years 1 months ago
A Cascade of Feed-Forward Classifiers for Fast Pedestrian Detection
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
Yu-Ting Chen, Chu-Song Chen