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107
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CVPR
2008
IEEE
16 years 5 months ago
Large margin pursuit for a Conic Section classifier
Learning a discriminant becomes substantially more difficult when the datasets are high-dimensional and the available samples are few. This is often the case in computer vision an...
Santhosh Kodipaka, Arunava Banerjee, Baba C. Vemur...
KDD
2009
ACM
150views Data Mining» more  KDD 2009»
16 years 4 months ago
Information theoretic regularization for semi-supervised boosting
We present novel semi-supervised boosting algorithms that incrementally build linear combinations of weak classifiers through generic functional gradient descent using both labele...
Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
135
Voted
SIGIR
2009
ACM
15 years 10 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
156
Voted
ICRA
2008
IEEE
191views Robotics» more  ICRA 2008»
15 years 10 months ago
Combining automated on-line segmentation and incremental clustering for whole body motions
Abstract— This paper describes a novel approach for incremental learning of human motion pattern primitives through on-line observation of human motion. The observed motion time ...
Dana Kulic, Wataru Takano, Yoshihiko Nakamura
MM
2005
ACM
139views Multimedia» more  MM 2005»
15 years 9 months ago
Exploiting self-adaptive posture-based focus estimation for lecture video editing
Head pose plays a special role in estimating a presenter’s focuses and actions for lecture video editing. This paper presents an efficient and robust head pose estimation algori...
Feng Wang, Chong-Wah Ngo, Ting-Chuen Pong