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» Robust Boosting for Learning from Few Examples
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TVCG
2010
208views more  TVCG 2010»
14 years 8 months ago
Example-Based Human Motion Denoising
—With the proliferation of motion capture data, interest in removing noise and outliers from motion capture data has increased. In this paper, we introduce an efficient human mo...
Hui Lou, Jinxiang Chai
EMNLP
2009
14 years 7 months ago
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking
This paper explores two classes of model adaptation methods for Web search ranking: Model Interpolation and error-driven learning approaches based on a boosting algorithm. The res...
Jianfeng Gao, Qiang Wu, Chris Burges, Krysta Marie...
ICRA
2007
IEEE
116views Robotics» more  ICRA 2007»
15 years 4 months ago
Using Boosted Features for the Detection of People in 2D Range Data
— This paper addresses the problem of detecting people in two dimensional range scans. Previous approaches have mostly used pre-defined features for the detection and tracking o...
Kai Oliver Arras, Óscar Martínez Moz...
ICPR
2010
IEEE
14 years 10 months ago
Spatiotemporal-Boosted DCT Features for Head and Face Gesture Analysis
Automatic analysis of head gestures and facial expressions is a challenging research area and it has significant applications in humancomputer interfaces. In this study, facial la...
Hatice Çinar Akakin, Bülent Sankur
CASCON
2001
148views Education» more  CASCON 2001»
14 years 11 months ago
Email classification with co-training
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
Svetlana Kiritchenko, Stan Matwin