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Figure and ground
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#	Item
11	CS 294-2, Visual Grouping and Object Recognition(Prof. Jitendra Malik) August 23, 1999 Lecture #1 (The 3 Problems: Grouping, Figure/Ground and Recognition, and their Interrelationship) DRAFT Notes by Ye Sheng Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2003-07-25 14:49:12 Symmetry Object recognition Group Recall Vision Optics Mind Mental processes Computer vision
12	Object Recognition by Ranking Figure-Ground Hypotheses Joao Carreira, Fuxin Li, Cristian Sminchisescu Computer Vision and Machine Learning Group, INS, University of Bonn We focus on designing methods that can segment ima Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:25:03 Market segmentation Memory segmentation Object recognition Segment Artificial intelligence Range segmentation Image processing Computer vision Segmentation
13	Object Recognition as Ranking Holistic Figure-Ground Hypotheses Fuxin Li∗ and Joao Carreira∗ and Cristian Sminchisescu Computer Vision and Machine Learning Group, Institute for Numerical Simulation, Faculty of Mathem Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:24:54 Memory segmentation Market segmentation Minimum bounding box Feature extraction Dimension Geometry Mathematics Image processing Computer vision Segmentation
14	To appear in the International Journal of Computer Vision Probabilistic Joint Image Segmentation and Labeling by Figure-Ground Composition Adrian Ion · Jo˜ ao Carreira · Cristian Sminchisescu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2014-06-04 23:24:53 Tessellation Market segmentation Geometry Marketing Computer vision Image processing Tiling Segmentation
15	Page \| 1 CRITICAL THINKING AND THE LEARNING COMMONS By Kathy Kawasaki, retired Teacher Librarian, Toronto District school Board and Eric McLuhan, Lecturer on Communication and Media In an April 2010 article, "Libraries Add to Reading List Source URL: tmcanada.pbworks.com Language: English - Date: 2010-05-15 19:46:29 Marshall McLuhan Applied linguistics Futurologists New Criticism Postmodernism Mimesis Eric A. Havelock Figure and ground Understanding Media: The Extensions of Man Literature Humanities Knowledge
16	Online Figure-ground Segmentation with Edge Pixel Classification Zhaozheng Yin Robert T. Collins Department of Computer Science and Engineering The Pennsylvania State University, USA Add to Reading List Source URL: www.bmva.org Language: English - Date: 2012-02-07 06:33:30 Vision Thresholding Artificial intelligence Applied mathematics Motion analysis Conditional random field Graph cuts in computer vision Kadir–Brady saliency detector Image processing Computer vision Segmentation
17	Cue Integration for Figure/Ground Labeling Xiaofeng Ren, Charless C. Fowlkes and Jitendra Malik Computer Science Division, University of California, Berkeley, CA 94720 {xren,fowlkes,malik}@cs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-01-31 22:59:56 Computer vision Vector calculus Estimation theory Statistics Segmentation Applied mathematics Normal Maximum likelihood Markov random field Image processing Mathematics Surfaces
18	Occlusion Boundary Detection and Figure/Ground Assignment from Optical Flow Patrik Sundberg1 , Thomas Brox2 , Michael Maire3 , Pablo Arbel´aez1 , and Jitendra Malik1 ∗ 1 University of California at Berkeley Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2011-05-17 19:35:55 Vision Optics Optical flow Segmentation Edge detection Canny edge detector Image processing Computer vision Imaging
19	Figure/Ground Assignment in Natural Images Xiaofeng Ren, Charless C. Fowlkes and Jitendra Malik Computer Science Division University of California at Berkeley Berkeley, CA[removed]USA Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2006-10-11 14:05:10 Gestalt psychology Pitch contour Science Statistics Psychology Image processing Segmentation Maximum likelihood
20	What Haven't You Noticed Lately Add to Reading List Source URL: individual.utoronto.ca Language: English - Date: 2009-02-04 12:18:02 Knowledge Humanities The medium is the message Understanding Media: The Extensions of Man Tetrad of media effects Figure and ground Meaning Information The Medium Is the Massage Marshall McLuhan Media studies Science