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Sketch recognition
Results: 19

#	Item
11	Sketch Tokens: A Learned Mid-level Representation for Contour and Object Detection Joseph J. Lim Massachusetts Inst. of Technology C. Lawrence Zitnick Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2013-06-19 12:23:11 Imaging Optics Histogram of oriented gradients Segmentation Object recognition Edge detection Pedestrian detection Feature extraction Image gradient Computer vision Image processing Vision
12	A Framework for Clustering Massive-Domain Data Streams Charu C. Aggarwal IBM T. J. Watson Research Center 19 Skyline Drive, Hawthorne, NY, USA [removed] Add to Reading List Source URL: charuaggarwal.net Language: English - Date: 2009-03-29 23:59:19 Cluster analysis Hashing Data mining Data stream clustering K-means clustering Count-Min sketch Segmentation Pattern recognition Determining the number of clusters in a data set Statistics Machine learning Multivariate statistics
13	Sketching Techniques for Large Scale NLP Amit Goyal, Jagadeesh Jagarlamudi, Hal Daum´e III, and Suresh Venkatasubramanian University of Utah, School of Computing {amitg,jags,hal,suresh}@cs.utah.edu Abstract Add to Reading List Source URL: www.umiacs.umd.edu Language: English - Date: 2011-01-07 13:11:25 Hashing Computing Natural language processing Speech recognition Count-Min sketch Information retrieval Streaming algorithm Bloom filter Pointwise mutual information Information science Computational linguistics Science
14	Bypassing Synthesis : PLS for Face Recognition with Pose, Low-resolution and Sketch Abhishek Sharma and David W. Jacobs One ring (PLS) to rule (Recognize) them all (modalities) Problem Statement Comparing apples Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2012-10-08 15:23:23 Covariance Projection Mathematical analysis Covariance and correlation Algebra of random variables
15	Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch Abhishek Sharma Institute of Advanced Computer Science University of Maryland, USA Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2012-10-08 15:23:22 Singular value decomposition Functional analysis Matrix theory Abstract algebra Partial least squares regression Eigenface Projection Eigenvalues and eigenvectors Kernel Algebra Mathematics Linear algebra
16	Bypassing Synthesis: PLS for Face Recognition with Pose, Low-Resolution and Sketch Abhishek Sharma Institute of Advanced Computer Science University of Maryland, USA Add to Reading List Source URL: www.cs.umd.edu Language: English - Date: 2011-05-24 13:26:39 Singular value decomposition Functional analysis Matrix theory Abstract algebra Partial least squares regression Eigenface Projection Eigenvalues and eigenvectors Kernel Algebra Mathematics Linear algebra
17	Off-line Sketch Interpretation Matt Notowidigdo and Robert C. Miller MIT Computer Science and Artificial Intelligence Laboratory 32 Vassar St. Cambridge, Massachussetts 02139 Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2005-05-17 15:38:43 Computing Computational linguistics Automatic identification and data capture Diagrams Handwriting recognition Segmentation Flowchart Algorithm Optical character recognition Artificial intelligence applications Science Artificial intelligence
18	DrawCAD: Mouse-sketch-based engineering drawing Abhiram Ranade and Shripad Sarade Department of Computer Science and Engineering Add to Reading List Source URL: www.cse.iitb.ac.in Language: English - Date: 2013-12-31 04:33:11 Technical drawing 3D graphics software Software Computer-aided design Engineering drawing AutoCAD Drawing Gesture recognition Constraint programming Computing Infographics
19	A Performance Evaluation of Gradient Field HOG Descriptor for Sketch Based Image Retrieval Rui Hua,∗, John Collomossea Add to Reading List Source URL: personal.ee.surrey.ac.uk Language: English - Date: 2013-02-14 12:39:19 Optics Histogram of oriented gradients Visual descriptors Image retrieval Shape context Color histogram Segmentation Object recognition Information retrieval Computer vision Vision Imaging

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