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Boosting methods for object categorization
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81	Joint Feature Selection for Object Detection and Recognition Jerod J. Weinman, Allen Hanson, and Erik Learned-Miller {weinman,hanson,elm}@cs.umass.edu Department of Computer Science University of Massachusetts-Amherst Am Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:37 Artificial intelligence Image processing Machine learning Object recognition Linear discriminant analysis Cross-validation Template matching One-shot learning Boosting methods for object categorization Computer vision Statistics Vision
82	Combining Local and Global Image Features for Object Class Recognition Dimitri A. Lisin, Marwan A. Mattar, Matthew B. Blaschko, Mark C. Benfield , Erik G. Learned-Miller Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2008-01-02 15:36:30 Statistical classification Parts of speech Classifier Unified Modeling Language Support vector machine Learning classifier system Ensemble learning Boosting methods for object categorization Random subspace method Statistics Machine learning Artificial intelligence
83	Heidi M. Sosik and Robert J. Olson. Automated taxonomic classification of phytoplankton sampled with imaging in-flow cytometry. Limnol. Oceanogr.: Methods 5, 2007, 204–216 Add to Reading List Source URL: www.whoi.edu Language: English - Date: 2008-05-02 11:20:28 Artificial intelligence Computer vision Image processing Support vector machine Feature extraction Classification rule Segmentation Supervised learning Boosting methods for object categorization Statistics Statistical classification Machine learning
84	Online Domain Adaptation of a Pre-Trained Cascade of Classifiers Vidit Jain Yahoo! Labs Bangalore Erik Learned-Miller University of Massachusetts Amherst Add to Reading List Source URL: vis-www.cs.umass.edu Language: English - Date: 2011-04-05 21:56:43 Statistical classification Supervised learning Binary classification Face detection AdaBoost Receiver operating characteristic Boosting methods for object categorization Statistics Machine learning Artificial intelligence
85	Image Classification with Annotator Rationales Jeff Donahue Supervised by Professor Kristen Grauman Department of Computer Science Add to Reading List Source URL: apps.cs.utexas.edu Language: English - Date: 2011-01-24 10:23:53 Statistical classification Learning Computational linguistics Support vector machine Binary classification Natural language processing Supervised learning Boosting methods for object categorization Caltech 101 Machine learning Statistics Artificial intelligence
86	Image Classification with Annotator Rationales Jeff Donahue Supervised by Professor Kristen Grauman Department of Computer Science Add to Reading List Source URL: jeffdonahue.com Language: English - Date: 2014-06-22 21:47:24 Statistical classification Learning Computational linguistics Support vector machine Binary classification Natural language processing Supervised learning Boosting methods for object categorization Caltech 101 Machine learning Statistics Artificial intelligence
87	FaceTracer: A Search Engine for Large Collections of Images with Faces Neeraj Kumar1⋆ , Peter Belhumeur1 , and Shree Nayar1 Columbia University Abstract. We have created the first image search engine based entirely Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2009-05-20 16:26:00 Ensemble learning Statistical classification Support vector machine AdaBoost Haar-like features Content-based image retrieval Classifier Boosting methods for object categorization Histogram of oriented gradients Computer vision Artificial intelligence Statistics
88	Active Learning for e-Rulemaking: Public Comment Categorization Stephen Purpura Claire Cardie Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2008-03-31 11:31:00 Statistical classification Learning Supervised learning Support vector machine Multiclass classification Active learning Boosting methods for object categorization Random subspace method Statistics Machine learning Artificial intelligence
89	IT-Discovery at TREC 2010 Legal Aron Culotta, Andy Liu, Mark Cordover Bennett Borden Add to Reading List Source URL: trec.nist.gov Language: English - Date: 2011-02-23 10:42:22 Bayesian statistics Naive Bayes classifier Support vector machine Boosting methods for object categorization Supervised learning Statistics Statistical classification Machine learning
90	DOC Document Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2009-08-10 10:39:33 Statistical classification Support vector machine Linear classifier Naive Bayes classifier Supervised learning Document classification Boosting methods for object categorization Bag of words model in computer vision Statistics Machine learning Artificial intelligence

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