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Feature learning
Results: 920

#	Item
681	MICROSOFT RESEARCH ASIA TRECVID 2006 HIGH-LEVEL FEATURE EXTRACTION AND RUSHES EXPLOITATION Xian-Sheng Hua, Tao Mei, Wei Lai, Meng Wang, Jinhui Tang, Guo-Jun Qi, Lvsong Li, Zhiwei Gu Microsoft Research Asia 49 Zhichun Roa Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2006-12-21 13:47:12 Learning Support vector machine Supervised learning Cross-validation Transduction Manifold Machine learning Statistics Artificial intelligence
682	TRECVid 2008 High Level Feature Extraction Experiments at JOANNEUM RESEARCH Roland Morzinger and Georg Thallinger ¨ JOANNEUM RESEARCH, Institute of Information Systems & Information Management Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2008-12-03 08:53:58 Learning Support vector machine Transduction Semi-supervised learning Cross-validation Supervised learning Silicon Valley Microelectronics Machine learning Statistics Artificial intelligence
683	Columbia University TRECVID2007 High-Level Feature Extraction Shih-Fu Chang, Wei Jiang, Akira Yanagawa, Eric Zavesky {sfchang,wjiang,akira,emz}@ee.columbia.edu Columbia University Department of Electrical Engineering Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2007-11-28 11:17:11 Statistical classification Support vector machine Linear classifier Cross-validation Regularization AdaBoost Statistics Machine learning Artificial intelligence
684	UC3M HIGH LEVEL FEATURE EXTRACTION AT TRECVID 2008 I. Gonz´ alez-D´ıaz, D. Garc´ıa-Garc´ıa, R. Solera-Ure˜ na, J. Madrid-S´ anchez, V. G´ Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2009-03-05 14:02:00 Machine learning Vision Statistical classification Support vector machine Image processing Visual descriptors Cross-validation Active learning Feature Statistics Computer vision Artificial intelligence
685	2012 COLUMBIA JOURNAL OF RACE AND LAW SPECIAL FEATURE 30 Add to Reading List Source URL: www.law.cuny.edu Language: English - Date: 2014-06-06 15:38:48 Popular education Pedagogy Alternative education Paulo Freire Derrick Bell City University of New York School of Law Teacher Student-centred learning Education Philosophy of education Critical pedagogy
686	2013 IEEE International Conference on Big Data Feature Selection Strategies for Classifying High Dimensional Astronomical Data Sets Ciro Donalek, S. G. Djorgovski, Ashish A. Mahabal, Matthew J. Graham, Andrew J. Drake Add to Reading List Source URL: kiss.caltech.edu Language: English - Date: 2014-04-29 12:54:28 K-nearest neighbor algorithm Feature selection Supervised learning Linear classifier Statistical classification Kepler Least-angle regression RR Lyrae variable Pattern recognition Statistics Machine learning Artificial intelligence
687	Inf Retrieval[removed]:747–768 DOI[removed]s10791[removed]Document vector representations for feature extraction in multi-stage document ranking Nima Asadi • Jimmy Lin Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2013-11-08 20:23:40 Search engine indexing Inverted index Hash function Learning to rank Tf*idf Language model Euclidean vector N-gram Index term Information science Information retrieval Science
688	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
689	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
690	TokyoTech+Canon at TRECVID 2011 Nakamasa Inoue Yusuke Kamishima Toshiya Wada Koichi Shinoda Department of Computer Science, Add to Reading List Source URL: www-nlpir.nist.gov Language: English - Date: 2012-03-05 09:28:37 Machine learning Histogram of oriented gradients Scale-invariant feature transform Mixture model Generalized method of moments Support vector machine Cross-validation Statistics Computer vision Artificial intelligence

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