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Caltech 101
Results: 132

#	Item
61	arXiv:1112.6209v3 [cs.LG] 12 Jun[removed]Building High-level Features Using Large Scale Unsupervised Learning Quoc V. Le Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-06-12 20:24:31 Science Computational neuroscience Learning Cybernetics Network architecture Caltech 101 Supervised learning Pattern recognition Unsupervised learning Machine learning Neural networks Artificial intelligence
62	Microsoft Word - WP_101.doc Add to Reading List Source URL: vote.caltech.edu Language: English - Date: 2012-05-15 14:36:05 Government Provisional ballot Electoral fraud Ballot Elections in the United States Precinct Election Day Early voting Voter ID laws Politics Elections Election fraud
63	Object Detection Using A Shape Codebook Xiaodong Yu, Li Yi, Cornelia Fermuller, and David Doermann Institute for Advanced Computer Studies University of Maryland, College Park, MD[removed]USA {xdyu,liyi,fer,doermann}@umiac Add to Reading List Source URL: www.bmva.org Language: English - Date: 2011-07-04 11:06:48 Optics Shape context Segmentation Object recognition Active contour model Codebook Bag of words model in computer vision Caltech 101 Computer vision Vision Imaging
64	Object Discovery in 3D scenes via Shape Analysis Andrej Karpathy, Stephen Miller and Li Fei-Fei Abstract— We present a method for discovering object models from 3D meshes of indoor environments. Our algorithm first dec Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-08-11 17:57:31 Imaging 3D modeling Vision Optics Caltech 101 Longuet-Higgins Prize Image processing Segmentation Computer vision
65	Context by Region Ancestry Joseph J. Lim, Pablo Arbel´aez, Chunhui Gu, and Jitendra Malik University of California, Berkeley - Berkeley, CA 94720 {lim,arbelaez,chunhui,malik}@eecs.berkeley.edu Abstract Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-07-17 16:32:51 Computer graphics Vision Caltech 101 Image processing Segmentation Imaging
66	OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning Li-Jia Li1 , Gang Wang1 and Li Fei-Fei2 1 Dept. of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, USA Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:56:24 California Institute of Technology Caltech 101 One-shot learning Computer vision Natural language processing LabelMe Object categorization from image search Object recognition Information retrieval Artificial intelligence Vision Imaging
67	Knowledge transfer in learning to recognize visual objects classes Li Fei-Fei Electrical and Computer Engineering Dept. & Beckman Institute University of Illinois Urbana-Champaign (UIUC) [removed] Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:55:53 Statistical theory Estimation theory Computer vision One-shot learning Bayesian statistics Caltech 101 Constellation model Supervised learning Bayesian inference Statistics Artificial intelligence Machine learning
68	Int J Comput Vis DOI[removed]s11263[removed]x Object Bank: An Object-Level Image Representation for High-Level Visual Recognition Li-Jia Li · Hao Su · Yongwhan Lim · Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-11-09 20:02:39 Imaging Optics Object recognition Segmentation LabelMe Feature Caltech 101 One-shot learning Computer vision Vision Image processing
69	SavareseFei-Fei_ICCV2007_camera_ready.dvi Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:56:33 3D single object recognition Pose 3D modeling Caltech 101 Stereoscopy Segmentation Symmetry Computer vision Vision Object recognition
70	Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky1 , Jia Deng1 , Zhiheng Huang1 , Alexander C. Berg2 , Li Fei-Fei1 Stanford University1 , UNC Chapel Hill2 Abstract Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-11-09 20:10:05 Caltech 101 LabelMe Object recognition Part-based models Segmentation Object detection Kadir–Brady saliency detector Boosting methods for object categorization Computer vision Image processing California Institute of Technology

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