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104
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this pr...
123
Voted
CVPR
2006
IEEE
16 years 2 months ago
2006
IEEE
Boosting has become very popular in computer vision, showing impressive performance in detection and recognition tasks. Mainly off-line training methods have been used, which impl...
116
click to vote
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
We present an approach for object recognition that combines detection and segmentation within a efficient hypothesize/test framework. Scanning-window template classifiers are the ...
109
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper, we present a learning procedure called probabilistic boosting network (PBN) for joint real-time object detection and pose estimation. Grounded on the law of total p...
124
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
In this paper we propose to use lexical semantic networks to extend the state-of-the-art object recognition techniques. We use the semantics of image labels to integrate prior kno...