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Boosting methods for object categorization
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1	Protocols for Learning Classifiers on Distributed Data Hal Daum´e III Je↵ M. Phillips University of Maryland, CP University of Utah Suresh Venkatasubramanian Add to Reading List Source URL: www.cs.utah.edu Language: English - Date: 2012-02-28 20:30:06 Linear classifier Classifier Gain Boosting methods for object categorization Random subspace method Statistics Statistical classification Margin classifier
2	An Instance Selection Approach to Multiple Instance Learning Zhouyu Fu∗ 1 and Antonio Robles-Kelly2,3 1 Gippsland School of IT, Monash University, Churchill, VIC 3842, Australia 2 National ICT Australia †, Locked Bag Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2009-04-01 18:15:07 Artificial intelligence Support vector machine Multiple-instance learning Multiclass classification Pruning Supervised learning Pattern recognition Boosting methods for object categorization Machine learning Statistics Statistical classification
3	Transport Research Arena 2014, Paris Analysis and classification of Powered Two Wheelers riding pattern Ferhat Attala, Abderrahmane bderrahmane Boubezoula, Latifa Oukhelloub and Stéphane Espiéc a Add to Reading List Source URL: tra2014.traconference.eu Language: English* - Date: 2015-01-12 11:17:14 Learning Statistical classification Parts of speech Classifier Support vector machine Supervised learning Pattern recognition Random subspace method Boosting methods for object categorization Machine learning Statistics Artificial intelligence
4	Lughofer, E., Smith, J., Tahir, M., Caleb-Solly, P., Eitzinger, C., Sannen, D. and van Brussels, HOn human-machine interaction during online image classifier training. In: Proceedings of the International Confer Add to Reading List Source URL: eprints.uwe.ac.uk Language: English - Date: 2013-08-03 13:23:20 Statistical classification Learning classifier system Classifier Supervised learning Boosting methods for object categorization Random subspace method Machine learning Statistics Artificial intelligence
5	Estimating scene typicality from human ratings and image features Krista A. Ehinger () Department of Brain & Cognitive Sciences, MIT, 77 Massachusetts Ave. Cambridge, MAUSA Jianxiong Xiao (jxiao@c Add to Reading List Source URL: cvcl.mit.edu Language: English - Date: 2011-05-02 15:56:49 Semantics Categorization Knowledge representation Content-based image retrieval Boosting methods for object categorization Computer vision Artificial intelligence Artificial intelligence applications
6	Controlling False Alarm/Discovery Rates in Online Internet Traffic Flow Classification Daniel Nechay, Yvan Pointurier, and Mark Coates Department of Electrical and Computer Engineering McGill University, Montr´eal, Qu´ Add to Reading List Source URL: www.tsp.ece.mcgill.ca Language: English - Date: 2009-01-28 13:17:01 Support vector machine Classifier chains Multiclass classification Binary classification Classifier Linear discriminant analysis Gain Boosting methods for object categorization Classification rule Statistics Statistical classification Machine learning
7	Microsoft Word - dellzhang_trec2004.doc Add to Reading List Source URL: trec.nist.gov Language: English Statistical classification Support vector machine Kernel methods Cross-validation Feature selection Kullback–Leibler divergence Boosting methods for object categorization Statistics Machine learning Model selection
8	Linear Time Nonparametric Classification and Feature Selection with Polynomial MPMC Cascades for large datasets Markus Breitenbach1 , Sander M. Bohte1,2 , and Gregory Z. Grudic1 1 Add to Reading List Source URL: markus-breitenbach.com Language: English - Date: 2004-06-24 11:16:08 Applied mathematics Linear classifier Ensemble learning Time complexity Support vector machine Algorithm Computational complexity theory Stability Boosting methods for object categorization Machine learning Statistics Statistical classification
9	Biomedical Document Triage: Automatic Classification Exploiting Category Specific Knowledge L. Venkata Subramaniam, Diwakar Punjani, Sougata Mukherjea IBM India Research Lab, New Delhi, India E-mail: {lvsubram, smukherj Add to Reading List Source URL: trec.nist.gov Language: English* Statistical classification Support vector machine Kernel methods Triage Document classification TREC Genomics Feature selection Boosting methods for object categorization Statistics Machine learning Artificial intelligence
10	Detection of Persons in Videos captured using Mobile Phone Cameras Yash Abooj, Seon Ho Kim, Luciano Nocera Integrated Media Systems Center University of Southern California Add to Reading List Source URL: imsc.usc.edu Language: English - Date: 2015-03-26 19:45:38 Artificial intelligence Face recognition Histogram of oriented gradients Face detection Haar-like features Viola–Jones object detection framework Boosting methods for object categorization Computer vision Vision Imaging

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