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Boosting methods for object categorization
Results: 106

#	Item
61	MIL at ImageCLEF 2014: Scalable System for Image Annotation Atsushi Kanehira, Masatoshi Hidaka, Yusuke Mukuta, Yuichiro Tsuchiya, Tetsuaki Mano, and Tatsuya Harada Machine Intelligence Lab., The University of Tokyo {kane Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 09:34:38 Statistical classification Vision Machine learning Image processing Linear classifier Support vector machine Object recognition Feature Boosting methods for object categorization Statistics Computer vision Artificial intelligence
62	NUDT’s Participation in the Robot Vision Challenge of ImageCLEF2014 Yi Zhang, Jian Qin, Fanglin Chen, and Dewen Hu Department of Automatic Control, College of Mechatronics and Automation National University of Defense Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2014-07-24 09:30:24 Vision Statistics Statistical classification Support vector machine Object recognition Pose Pattern recognition Boosting methods for object categorization Computer vision Artificial intelligence Machine learning
63	Proc. of IEEE 3rd Intl. Conf. on Biometrics: Theory, Applications and Systems (BTAS 09), Washington DC, September[removed]Online Learning in Biometrics: A Case Study in Face Classifier Update Richa Singh, Mayank Vatsa, Aru Add to Reading List Source URL: clarkson.edu Language: English - Date: 2013-03-22 14:25:36 Machine learning Learning Support vector machine Biometrics Ranking SVM Boosting methods for object categorization Statistics Artificial intelligence Statistical classification
64	C:/Research Work/Papers/Ciaramello/VPQM 09/VPQM 09.dvi Add to Reading List Source URL: foulard.ece.cornell.edu Language: English - Date: 2010-11-16 16:04:34 Face recognition Image processing Face detection Segmentation Local binary patterns Statistical classification Connected-component labeling Viola–Jones object detection framework Boosting methods for object categorization Computer vision Vision Artificial intelligence
65	Spatial Semantics and Classifier Cascades The ANU 2011 Multimedia Event Detection System Lexing Xie∗ , Xuming He†∗ ∗ Australian National University, † National ICT Australia (NICTA) Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-01-10 13:32:23 Statistical classification Vision Computer vision Optics Boosting methods for object categorization Parts of speech Artificial intelligence Classifier
66	The Vision Research Lab of UCSB at TRECVID 2007 Elisa Drelie Gelasca, Swapna Joshi, James Kleban, Stephen Mangiat, B.S. Manjunath, Emily Moxley, Anindya Sarkar, Jiejun Xu Vision Research Lab, University of California at Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:16:46 Statistical classification Image processing Machine learning Support vector machine Feature K-nearest neighbor algorithm Binary classification Boosting methods for object categorization Statistics Computer vision Artificial intelligence
67	University of Marburg at TRECVID 2009: High-Level Feature Extraction Markus Mühling1,2, Ralph Ewerth1,2, Thilo Stadelmann1,2, Bing Shi2, and Bernd Freisleben 1,2 SFB/FK615, University of Siegen, D[removed]Siegen, Germany Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:50 Imaging Artificial intelligence Multimedia Information Retrieval Information retrieval Feature Segmentation Face detection Boosting methods for object categorization Image processing Computer vision Vision
68	Oxford-IIIT TRECVID 2009 – Notebook Paper Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyderabad Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-12-07 10:16:56 Computer vision Statistical classification Ensemble learning Face recognition Support vector machine Object recognition Face detection Random forest Boosting methods for object categorization Artificial intelligence Machine learning Vision
69	XJTU at TRECVID2008 High-Level Feature Extraction Zhe Wang, Guizhong Liu, Xueming Qian, Zhi Li, DanPing Guo, Nan Nan, Huaixia Jiang Signal Processing Multi-Disciplinary Research Center, School of Electronic and Informati Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:54:12 Vision Color histogram Support vector machine Histogram AdaBoost Feature Classifier Bag of words model in computer vision Boosting methods for object categorization Statistics Computer vision Artificial intelligence
70	Oxford-IIIT TRECVID 2010 – Notebook Paper Mayank Juneja, Siddhartha Chandra, Omkar M. Parkhi, C. V. Jawahar Center for Visual Information Technology, International Institute of Information Technology, Gachibowli, Hyder Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2011-03-04 14:18:39 Computer vision Statistical classification Ensemble learning Support vector machine Classifier Random forest Key frame Feature Boosting methods for object categorization Machine learning Statistics Artificial intelligence

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