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» Bagging in Computer Vision
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CVPR
1998
IEEE
10 years 1 months ago
Bagging in Computer Vision
Previous research has shown that aggregated predictors improve the performance of non-parametric function approximation techniques. This paper presents the results of applying agg...
Bruce A. Draper, Kyungim Baek
CVPR
2012
IEEE
7 years 2 months ago
Batch mode Adaptive Multiple Instance Learning for computer vision tasks
Multiple Instance Learning (MIL) has been widely exploited in many computer vision tasks, such as image retrieval, object tracking and so on. To handle ambiguity of instance label...
Wen Li, Lixin Duan, Ivor Wai-Hung Tsang, Dong Xu
ICPR
2008
IEEE
9 years 6 months ago
Bagging very weak learners with lazy local learning
Xingquan Zhu, Chengyi Bao, Weidong Qiu
ICPR
2008
IEEE
9 years 6 months ago
Classification by bagged consistent itemset rules
Yohji Shidara, Mineichi Kudo, Atsuyoshi Nakamura
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