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Results: 1687

#	Item
981	Ghostscript wrapper for sharensferbourdevributesT.pdf Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-03-09 17:50:53 Statistical classification Face recognition Parts of speech Machine learning Face detection Classifier Histogram of oriented gradients Linear classifier Boosting methods for object categorization Artificial intelligence Statistics Vision
982	SIGCHI Conference Proceedings Format Add to Reading List Source URL: www.medien.ifi.lmu.de Language: English - Date: 2014-03-03 09:40:49 Computing Typing Keyboard layouts Humanâ€“computer interaction Internationalization and localization Touch typing QWERTY Tablet computer Naive Bayes classifier Computer keyboards Input/output Computer hardware
983	1 MicroFilters: Harnessing Twitter For Disaster Management Andrew Ilyas Waterloo Collegiate Institute Add to Reading List Source URL: cs.uwaterloo.ca Language: English - Date: 2015-01-27 17:17:52 Artificial intelligence Learning Computer vision Computer graphics Statistical classification Segmentation Color histogram Robert Haralick Naive Bayes classifier Machine learning Statistics Image processing
984	Multi-Component Models for Object Detection Chunhui Gu1 , Pablo Arbel´ aez2 , Yuanqing Lin3 , Kai Yu4 , and Jitendra Malik2 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-09-26 17:34:20 Geometry Minimum bounding box Classifier Computer vision Statistical classification 3D computer graphics Boosting methods for object categorization Scale-invariant feature transform Artificial intelligence Vision Imaging
985	Discriminative Decorrelation for Clustering and Classification? Bharath Hariharan1 , Jitendra Malik1 , and Deva Ramanan2 1 Univerisity of California at Berkeley, Berkeley, CA, USA Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-07-31 09:01:30 Data analysis Computer vision Machine learning Linear classifier Linear discriminant analysis Principal component analysis Whitening transformation Support vector machine Normal distribution Statistics Multivariate statistics Statistical classification
986	Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2009-07-17 16:11:10 Statistical classification Machine learning Support vector machines Linear classifier Caltech 101 Kernel methods Vector space Least squares support vector machine Statistics Algebra Mathematics
987	Using EEG pattern classification to track competition in negative priming Ehren L Newman & Ken Norman Princeton University, Princeton NJ, USA To better understand the competitive dynamics that generate these effects, we Add to Reading List Source URL: compmem.princeton.edu Language: English - Date: 2010-11-05 09:28:20 Cognitive science Negative priming Memory Parts of speech Electroencephalography Priming Classifier Statistical classification Cognition Mind Philosophy of mind
988	Report from Dagstuhl Perpectives Workshop[removed]Machine Learning Methods for Computer Security Edited by Anthony D. Joseph1 , Pavel Laskov2 , Fabio Roli3 , J. Doug Tygar4 , Add to Reading List Source URL: drops.dagstuhl.de Language: English - Date: 2013-02-07 09:54:29 Learning Data mining Statistical classification Learning classifier system Computational learning theory Adversary Machine learning Artificial intelligence Computational statistics
989	Evolving text classification rules with genetic programming HIRSCH, Laurence, SAEEDI, Masoud and HIRSCH, Robin Available from Sheffield Hallam University Research Archive (SHURA) at: http://shura.shu.ac.uk[removed]This do Add to Reading List Source URL: shura.shu.ac.uk Language: English - Date: 2013-01-25 00:18:57 Linguistics Computational linguistics Machine learning Information science Statistical classification N-gram Document classification Classifier Classification rule Science Natural language processing Statistics
990	The Assumption of Class-Conditional Independence in Category Learning Jana Jarecki ([removed])∗ Bj¨orn Meder ([removed])∗ Jonathan D. Nelson ([removed])∗ ∗ Center Add to Reading List Source URL: 141.14.165.6 Language: English - Date: 2013-05-02 16:15:38 Causality Machine learning Probability Likelihood function Random naive Bayes One-shot learning Bayesian statistics Statistics Naive Bayes classifier

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