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Support vector machine
Results: 2011

#	Item
951	Semi-Supervised Support Vector Machines Kristin P. Bennett∗ Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY[removed]removed] Add to Reading List Source URL: www1.cs.columbia.edu Language: English - Date: 2003-01-15 10:44:57 Mathematics Support vector machine Supervised learning Structural risk minimization Transduction Cross-validation Mathematical optimization Vector space Quadratic programming Statistics Algebra Machine learning
952	Machine Learning, 46, 161–190, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Training Invariant Support Vector Machines DENNIS DECOSTE Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Statistical classification Linear algebra Support vector machine Signal processing Fisher kernel Positive-definite kernel Kernel Linux kernel Vector space Algebra Statistics Machine learning
953	Seasonal hydrological forecasting from snow cover maps and climatological data using support vector machine Mattia Callegari, Claudia Notarnicola, Ludovica De Gregorio, Alberto Pistocchi, Paolo Mazzoli, Luca Pasolli, Rob Add to Reading List Source URL: www.earsel.org Language: English - Date: 2014-02-27 13:27:02 Hydrology Statistical forecasting Physical geography Data analysis Forecasting Time series analysis Discharge Root-mean-square deviation Meteorology Statistics Earth Water
954	1 Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Mathematics Filter Stochastic gradient descent Part-based models Statistics Statistical classification Support vector machine
955	L EARNING WITH R ECURSIVE P ERCEPTUAL R EPRESENTATIONS Oriol Vinyals Yangqing Jia Li Deng UC Berkeley EECS & ICSI & Microsoft Research Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:42 Statistics Statistical classification Support vector machine
956	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.cs.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
957	Learning with Recursive Perceptual Representations Oriol Vinyals UC Berkeley Berkeley, CA Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:40 Artificial intelligence Neural networks Support vector machines Linear classifier Perceptron Least squares support vector machine Statistics Machine learning Statistical classification
958	Pose Pooling Kernels for Sub-category Recognition Ning Zhang ICSI & UC Berkeley Ryan Farrell ICSI & UC Berkeley Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:02:39 Imaging One-shot learning Visual descriptors Support vector machine K-nearest neighbor algorithm Kernel Feature Scale-invariant feature transform Histogram of oriented gradients Computer vision Artificial intelligence Vision
959	Automated approaches for detecting integration in student essays Simon Hughes1 ? , Peter Hastings1 , Joe Magliano2 , Susan Goldman3 , and Kim Lawless3 2 3 Add to Reading List Source URL: www.projectreadi.org Language: English - Date: 2014-10-31 15:05:59 Natural language processing Computational linguistics Statistical classification Data mining Support vector machine Document classification Latent semantic analysis Document-term matrix Binary classification Statistics Artificial intelligence Machine learning
960	Machine Learning, 46, 161–190, 2002 c 2002 Kluwer Academic Publishers. Manufactured in The Netherlands. Training Invariant Support Vector Machines DENNIS DECOSTE Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2004-02-15 20:47:31 Statistical classification Linear algebra Support vector machine Signal processing Fisher kernel Positive-definite kernel Kernel Linux kernel Vector space Algebra Statistics Machine learning

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