163 search results - page 15 / 33 » Generic Object Recognition with Boosting |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
CAIP
1999
Springer
1999
Springer
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
13 years 12 months ago
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
CVPR
2006
IEEE
14 years 9 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...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...