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Caltech 101
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#	Item
41	Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation and Recognition Yuanhao Chen MOE-MS Key Laboratory of MCC University of Science and Technology of China Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2008-04-07 14:52:32 Computer vision Image processing Segmentation Caltech 101 Object recognition Machine learning Pom Supervised learning Artificial intelligence Vision Imaging
42	Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite Andreas Geiger and Philip Lenz Karlsruhe Institute of Technology Raquel Urtasun Add to Reading List Source URL: www.cvlibs.net Language: English - Date: 2012-04-10 16:00:34 Visual odometry Optical flow Egomotion Pose Stereoscopy Caltech 101 Stereopsis Motion estimation Segmentation Imaging Computer vision Optics
43	Context and Scene Parsing Computer Vision CS 143, Brown James Hays Many Slides from Svetlana Lazebnik Add to Reading List Source URL: cs.brown.edu Language: English - Date: 2013-12-04 16:40:15 LabelMe Caltech 101
44	Caltech Department of Computer Science CS 101.3 Add to Reading List Source URL: multires.caltech.edu Language: English - Date: 2002-12-09 20:45:55 Stream processing BrookGPU Graphics processing unit FLOPS Parallel computing Supercomputer AMD FireStream Computing GPGPU Concurrent computing
45	Caltech Department of Computer Science CS 101.3 Add to Reading List Source URL: multires.caltech.edu Language: English - Date: 2002-12-09 20:51:47 Computer graphics Application programming interfaces GPGPU Graphics hardware DirectX Microsoft Direct3D Graphics processing unit Shading language High Level Shader Language Software Computing Virtual reality
46	Song Cao Department of Computer Science Cornell University 345 Gates Hall Ithaca, NY 14850 Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2014-11-25 15:14:40 Statistics Artificial intelligence Image processing Longuet-Higgins Prize Caltech 101 Computer vision Graphical model Structure from motion
47	Linear Spatial Pyramid Matching Using Sparse Coding for Image Classification † Jianchao Yang† , Kai Yu‡ , Yihong Gong‡ , Thomas Huang† Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2014-03-12 02:56:18 Imaging Support vector machine Caltech 101 Histogram Codebook Feature Object recognition Bag of words model in computer vision Computer vision Statistics Vision
48	Landmark Classification in Large-scale Image Collections Yunpeng Li David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY[removed]USA Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:07 Support vector machines Structured SVM Geographic information system Tag Caltech 101 Statistics Information Statistical classification
49	Landmark Classification in Large-scale Image Collections Yunpeng Li David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY[removed]USA Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2009-12-12 11:06:56 Support vector machines Structured SVM Geographic information system Tag Caltech 101 Statistics Information Statistical classification
50	A Category-Level 3-D Object Dataset: Putting the Kinect to Work Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell UC Berkeley and Max-Plank-Institute for Informati Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2012-07-28 19:03:14 Imaging Histogram of oriented gradients Kinect Object recognition Caltech 101 Computer vision Artificial intelligence Vision

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