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Jitendra
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#	Item
71	Ning Zhang Contact Information 7th Floor, Sutardja Dai Hall Department of Computer Science Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2015-01-02 20:07:25 California European Conference on Computer Vision Zhang University of California Berkeley Science Academia International Conference on Computer Vision Jitendra Malik Tsinghua University
72	Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik UC Berkeley {rbg,jdonahue,trevor,malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2014-05-10 14:50:49 Image processing Optics Segmentation Face detection Pedestrian detection Dutch East India Company CNN Volatile organic compound Feature extraction Vision Computer vision Imaging
73	Semantic Contours from Inverse Detectors∗ Bharath Hariharan1 , Pablo Arbel´aez1 , Lubomir Bourdev1,2 , Subhransu Maji1 and Jitendra Malik1 1 EECS, U.C. Berkeley, Berkeley, CA[removed]Adobe Systems, Inc., 345 Park Ave, Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-08-06 18:28:38 Hindu population in England & Wales Image processing Segmentation Perceptron
74	cs294-2, Grouping and Recognition (Prof. Jitendra Malik) Lecture #2 (Introduction) Jan 25, 1999 DRAFT Notes by Alex Berg Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:50:04 Knowledge Computer vision Illusory contours Triangles Perception Active contour model Symmetry Segmentation Optical illusions Mind Optics
75	CS 294-2, Visual Grouping and Recognition (Prof. Jitendra Malik) Sept. 8, 1999 Lecture #6 (Bayesian estimation and MRF) DRAFT Note by Xunlei Wu Bayesian Philosophy Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:52:15 Networks Bayesian statistics Statistical models Markov models Markov random field Markov chain Maximum likelihood Maths24 COMPASS/Sample Code Statistics Probability and statistics Graphical models
76	Thinh Nguyen[removed]Lecture Notes CS294 Visual Grouping and Recognition Professor: Jitendra Malik Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Conic sections Analytic geometry Circle Pi Energy minimization Tangent Perpendicular Normal Geometry Elementary geometry Curves
77	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Aug 30, 1999 Lecture #3 (Maximum likelihood framework) DRAFT Notes by Joshua Levy Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:52:15 Normal distribution Expectation–maximization algorithm Estimator Likelihood function M-estimator Estimation of covariance matrices Statistics Estimation theory Maximum likelihood
78	CS 294-2, Grouping and Recognition (Prof. Jitendra Malik) Sept 1st, 1999 Lecture #4 (Expectation Maximization Algorithm) DRAFT Notes by Rene Vidal Mixture models with incomplete data Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Statistical theory Expectation–maximization algorithm Missing data Normal distribution Mixture model Maximum likelihood Multivariate normal distribution Statistics Estimation theory Cluster analysis
79	CS 294, Computer Vision (Prof. Jitendra Malik) Oct. 25, 1999 Lecture #17 (Recognition) DRAFT Notes by Dimitri Chernyak Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:54:43 Supervised learning Normal distribution Perceptron Statistics Bayesian statistics Machine learning
80	CS294-6 (Fall[removed]Recognizing People, Objects and Actions Lecture: February 17, 2004 Digit Recognition and Distance Transforms Lecturer: Jitendra Malik Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-02-01 17:05:02 Theoretical computer science Computer vision Shape context K-nearest neighbor algorithm Decision tree model Machine learning Search algorithms Artificial intelligence

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