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Support vector machine
Results: 2011

#	Item
971	Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. Devis Tuiaa , R´emi Flamaryb , Nicolas Courtyc b Laboratoire a Department of Geography, University of Zurich, Switz Add to Reading List Source URL: remi.flamary.com Language: English - Date: 2015-01-14 03:20:20 Infrared imaging Signal processing Filter Hyperspectral imaging Feature selection Support vector machine Linear classifier Electronic filter Statistics Statistical classification Spectroscopy
972	¨ t Augsburg Universita Active Improvement of Hierarchical Object Features under Budget Constraints Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:08:22 Artificial intelligence Learning Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Object categorization from image search Statistics Machine learning Statistical classification
973	¨ t Augsburg Universita Towards Learning with Objects in a Hierarchical Representation Nicolas Cebron Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:04:39 Artificial intelligence Support vector machine Supervised learning Margin classifier Binary classification Active learning Boosting methods for object categorization Linear classifier Statistics Machine learning Statistical classification
974	Behav Res[removed]:622–633 DOI[removed]s13428[removed]Assessing the use of multiple sources in student essays Peter Hastings & Simon Hughes & Joseph P. Magliano & Susan R. Goldman & Kimberly Lawless Add to Reading List Source URL: www.projectreadi.org Language: English - Date: 2014-10-31 15:05:58 Computational linguistics Grammar Statistics Information retrieval Latent semantic analysis Sentence Semantics Support vector machine Question Linguistics Science Natural language processing
975	1 Film Classification by Trailer Features Edmund Helmer and Qinghui Ji December 14, 2012 Add to Reading List Source URL: cs229.stanford.edu Language: English - Date: 2013-01-09 19:55:28 Learning Bayesian statistics Ensemble learning Naive Bayes classifier Random forest Motion Picture Association of America film rating system Trailer Pattern recognition Support vector machine Statistics Statistical classification Machine learning
976	¨ t Augsburg Universita Active Learning in Parallel Universes Nicolas Cebron and Michael R. Berthold Report[removed] Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:01:57 Learning Supervised learning Co-training Statistical classification Multiverse Support vector machine Active learning Parallel universe Semi-supervised learning Machine learning Statistics Artificial intelligence
977	¨t Augsburg Universita Note onset detection for the transcription of polyphonic piano music C. G. v. d. Boogaart, R. Lienhart Add to Reading List Source URL: www.multimedia-computing.de Language: English - Date: 2011-06-17 18:01:46 Statistical classification Learning Machine learning AdaBoost Linear classifier Onset Support vector machine Classifier Boosting Statistics Ensemble learning Artificial intelligence
978	A Comparative Study of Methods for Transductive Transfer Learning Andrew Arnold, Ramesh Nallapati and William W. Cohen Machine Learning Department, Carnegie Mellon University 5000 Forbes Avenue, Pittsburgh, PA 15213, USA Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2007-09-24 14:44:25 Learning Transduction Support vector machine Semi-supervised learning Supervised learning Statistical classification Machine learning Statistics Artificial intelligence
979	Beyond Sliding Windows: Object Localization by Efficient Subwindow Search Christoph H. Lampert Matthew B. Blaschko Max Planck Institute for Biological Cybernetics[removed]T¨ubingen, Germany Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:10:48 Information science Object recognition Histogram Face detection Gain Support vector machine Bag of words model in computer vision Statistics Computer vision Artificial intelligence
980	Predicting Users’ Preference from Tag Relevance Tien T. Nguyen and John Riedl GroupLens Research, Computer Science and Engineering, University of Minnesota, Minneapolis, MN[removed]removed], [removed] http Add to Reading List Source URL: grouplens.org Language: English - Date: 2013-09-24 12:58:16 Information retrieval Collective intelligence Recommender system GroupLens Research Web 2.0 Support vector machine Tag Netflix Prize Information science Information Statistics

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