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Caltech 101
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#	Item
31	arXiv:1112.6209v5 [cs.LG] 12 JulBuilding High-level Features Using Large Scale Unsupervised Learning Quoc V. Le Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-07-12 20:39:43 Computational statistics Neural network Pattern recognition Supervised learning Unsupervised learning Caltech 101 Machine learning Artificial intelligence Learning
32	Chaitu Ekanadham, David Ho, Daniel Wagner Add to Reading List Source URL: dmwit.com Language: English - Date: 2014-02-18 22:03:27 Image processing Support vector machine Matrix Layers Statistics California Institute of Technology Caltech 101
33	Finding Corresponding Objects when Integrating Several Geo-Spatial Datasets Catriel Beeri Yerach Doytsher Add to Reading List Source URL: www.cs.technion.ac.il Language: English - Date: 2007-11-04 06:34:43 K-nearest neighbor algorithm Computer vision Data mining Vision Caltech 101 Data analysis Artificial intelligence Search algorithms Statistics
34	Source Code for Biology and Medicine BioMed Central Open Access Add to Reading List Source URL: www.scfbm.org Language: English Imaging Computer graphics Segmentation Image file formats Feature JPEG Pattern recognition Histogram of oriented gradients Caltech 101 Image processing Computer vision Vision
35	Curriculum Vitae Sven J. Dickinson Department of Computer Science, University of Toronto 6 King’s College Rd., Toronto, Ontario, Canada M5S 3G4 TEL: (, FAX: (email: , url: Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2015-04-28 12:53:21 Computer vision International Conference on Computer Vision European Conference on Computer Vision Object recognition Conference on Computer Vision and Pattern Recognition Image processing Longuet-Higgins Prize Caltech 101 Vision Imaging Optics
36	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: daggerfs.com Language: English Imaging Histogram of oriented gradients Kinect Object recognition Caltech 101 Computer vision Artificial intelligence Vision
37	PolySNAP Quick Guide Working With Multiple Datasets Inputing more than one dataset: PolySNAP 2 can analyse multiple different datasets of the same samples at the same time. This is done by switching from Single Dataset t Add to Reading List Source URL: www.chem.gla.ac.uk Language: English - Date: 2007-07-20 09:11:08 Information Caltech 101 ParaView Computer data Data set Mathematical sciences
38	A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms Steven M. Seitz Brian Curless University of Washington Add to Reading List Source URL: vision.middlebury.edu Language: English - Date: 2008-12-12 10:34:14 Vision Light field Optics Correspondence problem Photo-consistency 3D modeling Marr Prize Caltech 101 Computer vision Imaging Stereoscopy
39	Biophysical Journal Volume 101 August–Comparison and Calibration of Different Reporters for Quantitative Analysis of Gene Expression Add to Reading List Source URL: www.rpgroup.caltech.edu Language: English - Date: 2011-08-05 06:05:05 Molecular biology Genetics Lac operon Reporter gene Vector Beta-galactosidase Regulation of gene expression Real-time polymerase chain reaction Isopropyl β-D-1-thiogalactopyranoside Biology Biochemistry Gene expression
40	Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories Svetlana Lazebnik1 Cordelia Schmid2 Add to Reading List Source URL: www.cs.unc.edu Language: English - Date: 2010-11-12 13:53:37 Vision Optics Object recognition Histogram Scale space Pyramid Thresholding Feature detection Caltech 101 Computer vision Image processing Imaging

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