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Support vector machine
Results: 2011

#	Item
961	Large Scale Max-Margin Multi-Label Classification with Priors Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-04-17 13:22:30 Support vector machine Linear classifier Multi-label classification Pattern recognition Feature selection Mathematical optimization Statistics Machine learning Statistical classification
962	Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features Yangqing Jia1 Chang Huang2 Trevor Darrell1 1 2 Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:15 Overcompleteness Linear classifier Statistical classification Supervised learning Feature selection K-nearest neighbor algorithm Feature Pattern recognition Support vector machine Statistics Machine learning Artificial intelligence
963	On learning to localize objects with minimal supervision Hyun Oh Song Ross Girshick Stefanie Jegelka Julien Mairal Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-05-13 23:45:09 Submodular set function Statistics Statistical classification Support vector machine
964	Anytime Recognition of Objects and Scenes Sergey Karayev UC Berkeley Mario Fritz Max Planck Institute for Informatics Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Dimension reduction Feature selection Model selection Reinforcement learning Naive Bayes classifier Support vector machine Classifier Markov decision process Linear classifier Statistics Statistical classification Machine learning
965	DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue∗ Yangqing Jia∗ Oriol Vinyals Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-11-25 23:03:53 Mind One-shot learning Support vector machine Perceptual learning Cross-validation Machine learning Statistics Learning Artificial intelligence
966	Undoing the Damage of Dataset Bias Aditya Khosla1 , Tinghui Zhou2 , Tomasz Malisiewicz1 , Alexei A. Efros2 , and Antonio Torralba1 1 Massachusetts Institute of Technology Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-11-17 20:18:32 Artificial intelligence Support vector machine Machine learning Bias Data mining California Institute of Technology Caltech 101 Statistics
967	48th IEEE Conference on Decision and Control Shanghai, China, Dec[removed]Kernel regression for travel time estimation via convex optimization Sébastien Blandin , Laurent El Ghaoui and Alexandre Bayen Add to Reading List Source URL: bayen.eecs.berkeley.edu Language: English - Date: 2015-01-21 14:55:55 Econometrics Mathematical optimization Statistical classification Kernel Support vector machine Linear regression Kalman filter Linux kernel Positive-definite kernel Statistics Non-parametric statistics Regression analysis
968	Beyond Hard Negative Mining: Efficient Detector Learning via Block-Circulant Decomposition Jo˜ao F. Henriques, Jo˜ao Carreira, Rui Caseiro and Jorge Batista Institute of Systems and Robotics, University of Coimbra {hen Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:24:55 Fourier analysis Unitary operators Econometrics Matrices Numerical linear algebra Circulant matrix Support vector machine Discrete Fourier transform Convolution Mathematical analysis Algebra Mathematics
969	Training deformable part models with decorrelated features Ross Girshick and Jitendra Malik UC Berkeley {rbg, malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-10-14 17:32:54 Multivariate statistics Linear discriminant analysis Histogram of oriented gradients Support vector machine Expectation–maximization algorithm Filter Estimation theory Statistics Statistical classification Signal processing
970	Discriminatively Activated Sparselets Ross Girshick∗ Hyun Oh Song∗ Trevor Darrell University of California, Berkeley, Berkeley, CA 94720. Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Statistical classification Abstract algebra Linear algebra Machine learning Numerical linear algebra Linear classifier Support vector machine One-shot learning Vector space Algebra Mathematics Statistics

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