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ECCV
2006
Springer
13 years 10 months ago
Recognition and Segmentation of 3-D Human Action Using HMM and Multi-class AdaBoost
Our goal is to automatically segment and recognize basic human actions, such as stand, walk and wave hands, from a sequence of joint positions or pose angles. Such recognition is d...
Fengjun Lv, Ramakant Nevatia
SEMCO
2008
IEEE
14 years 3 months ago
Text Categorization Based on Boosting Association Rules
Associative classification is a novel and powerful method originating from association rule mining. In the previous studies, a relatively small number of high-quality association...
Yongwook Yoon, Gary Geunbae Lee
WACV
2002
IEEE
14 years 1 months ago
Boosting Image Orientation Detection with Indoor vs. Outdoor Classification
Automatic detection of image orientation is a very important operation in photo image management. In this paper, we propose an automated method based on the boosting algorithm to ...
Lei Zhang, Mingjing Li, HongJiang Zhang
CIKM
2008
Springer
13 years 10 months ago
Group-based learning: a boosting approach
This paper points out that many machine learning problems in IR should be and can be formalized in a novel way, referred to as `group-based learning'. In group-based learning...
Weijian Ni, Jun Xu, Hang Li, Yalou Huang
CIKM
2005
Springer
13 years 10 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari