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Boosting methods for object categorization
Results: 106

#	Item
71	Journal of Machine Learning Research[removed] Published 2/08 Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131–156, 2008: And Yet It Overfits Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2009-03-21 03:28:48 Boosting Statistical classification Classification rule Artificial neuron Boosting methods for object categorization Margin classifier Machine learning Ensemble learning AdaBoost
72	PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in Surveillance Video Zhipeng Hu a, Guangnan Ye b, Guochen Jia a, Xibin Chen b, Qiong Hu c, Kaihua Jiang b, Yaowei Wang a, d, Lei Qing c, Yonghong Tian a, X Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2010-04-14 09:58:22 Face recognition Pedestrian detection Optical flow Support vector machine Boosting methods for object categorization Computer vision Surveillance Face detection
73	TZI Bremen - Trecvid 2006 high level feature extraction A. Bruckmann M. Buczilowski B. Lerbs D. Gao Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-12-07 11:18:17 Statistical classification Learning Parts of speech Support vector machine Classifier Supervised learning Boosting methods for object categorization Random subspace method Machine learning Statistics Artificial intelligence
74	TRECVID 2007 by the Brno Group High Level Feature Extraction & Shot Boundary Detection Adam Herout, Vítězslav Beran, Michal Hradiš, Igor Potúček, Pavel Zemčík, Petr Chmelař Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-03-03 10:55:06 Learning Statistical classification Machine learning Computer vision AdaBoost Support vector machine Boosting Feature Boosting methods for object categorization Artificial intelligence Statistics Ensemble learning
75	Multiple Component Learning for Object Detection Piotr Doll´ ar1,2 Boris Babenko2 Serge Belongie1,2 Pietro Perona1 Zhuowen Tu3 1 Add to Reading List Source URL: authors.library.caltech.edu Language: English - Date: 2014-08-22 16:26:50 Learning Machine learning Statistical classification AdaBoost Supervised learning Boosting Classifier Support vector machine Boosting methods for object categorization Ensemble learning Statistics Artificial intelligence
76	BERG, BELHUMEUR: TOM-VS-PETE CLASSIFIERS AND IDENTITY-PRESERVING ALIGNMENT 1 Tom-vs-Pete Classifiers and Identity-Preserving Alignment for Face Verification Add to Reading List Source URL: thomasberg.org Language: English - Date: 2013-10-20 17:34:54 Artificial intelligence Learning Parts of speech Ensemble learning Classifier Linear classifier Binary classification AdaBoost Boosting methods for object categorization Statistics Statistical classification Machine learning
77	User Oriented Language Model for Face Detection Daesik Jang Dept. of Computer Information Engineering Kunsan National University, Gunsan, South Korea [removed] Add to Reading List Source URL: hct.ece.ubc.ca Language: English - Date: 2011-11-24 20:11:06 Face detection Algorithm Segmentation Eigenface Template matching Pose Boosting methods for object categorization FERET Computer vision Face recognition Image processing
78	Superlinear Parallelization of k-Nearest Neighbor Retrieval Antal van den Bosch Ko van der Sloot Add to Reading List Source URL: ilk.uvt.nl Language: English - Date: 2010-04-09 10:59:04 Search algorithms Statistical classification K-nearest neighbor algorithm Ensemble learning Classifier Word-sense disambiguation Nearest neighbor search AdaBoost Boosting methods for object categorization Machine learning Artificial intelligence Information science
79	Sign Classification using Local and Meta-Features Marwan A. Mattar, Allen R. Hanson, and Erik G. Learned-Miller Computer Vision Laboratory Department of Computer Science University of Massachusetts Amherst, MA[removed]USA Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:22 Artificial intelligence Object recognition Shape context Feature Statistical classification Scale-invariant feature transform Boosting methods for object categorization Computer vision Vision Imaging
80	Machine Learning Attacks Against the Asirra CAPTCHA Philippe Golle Palo Alto Research Center Palo Alto, CA 94304, USA Add to Reading List Source URL: xenon.stanford.edu Language: English - Date: 2008-08-05 17:59:45 Machine learning Parts of speech CAPTCHA Classifier Support vector machine Confusion matrix Boosting methods for object categorization Statistics Statistical classification Artificial intelligence

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