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One-shot learning
Results: 130

#	Item
41	Composite Models of Objects and Scenes for Category Recognition David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2007-05-21 06:50:28 Artificial intelligence Constellation model Object recognition 3D modeling One-shot learning Bag of words model in computer vision Computer vision Vision Optics
42	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University [removed] Pedro Felzenszwalb Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:07 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging
43	Pictorial Structures for Object Recognition Pedro F. Felzenszwalb Artificial Intelligence Lab, Massachusetts Institute of Technology [removed] Daniel P. Huttenlocher Computer Science Department, Cornell University Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2004-04-04 22:57:52 Optics Part-based models Object recognition Segmentation Conceptual model One-shot learning Active contour model Vision Computer vision Imaging
44	Composite Models of Objects and Scenes for Category Recognition David J. Crandall Daniel P. Huttenlocher Department of Computer Science, Cornell University Ithaca, NY 14853 {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:05 Artificial intelligence Constellation model Object recognition 3D modeling One-shot learning Bag of words model in computer vision Computer vision Vision Optics
45	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: vision.soic.indiana.edu Language: English - Date: 2014-08-03 00:38:09 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory
46	Weakly Supervised Learning of Part-Based Spatial Models for Visual Object Recognition David J. Crandall and Daniel P. Huttenlocher Cornell University, Ithaca, NY 14850, USA, {crandall,dph}@cs.cornell.edu Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2006-02-18 10:40:24 Machine learning Artificial intelligence Maximum likelihood Expectation–maximization algorithm Object recognition Supervised learning Markov random field Constellation model One-shot learning Statistics Estimation theory Statistical theory
47	Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University [removed] Pedro Felzenszwalb Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2005-04-11 14:45:39 Image processing Artificial intelligence Estimation theory Object recognition Maximum likelihood Edge detection One-shot learning Scale-invariant feature transform Computer vision Vision Imaging
48	With our special Learning Group Offer, encourage your group to decide which Football Plus+ experiences they want to use their 4 credits on. Penalty Shoot-Out Shot Stopper On the Ball One-Two Add to Reading List Source URL: www.nationalfootballmuseum.com Language: English - Date: 2012-12-04 12:37:34 Competitive video gaming Try Penalty kick Par Overtime Score Penalty shoot-out Tie Penalty shootout Sports Terminology Laws of association football
49	Sparse Representations for Fast, One-Shot Learning Kenneth Yip and Add to Reading List Source URL: groups.csail.mit.edu Language: English - Date: 2010-02-16 18:20:46 Grammatical number Morphophonology Phonotactics Machine learning Voice Apostrophe Linguistics Phonology English plural
50	Figure-Ground Image Segmentation helps Weakly-Supervised Learning of Objects Katerina Fragkiadaki and Jianbo Shi GRASP Laboratory, University of Pennsylvania 3330 Walnut St., Philadelphia, PA[removed]removed],j Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-12-11 22:58:28 Vision Segmentation Optics Kadir–Brady saliency detector One-shot learning Image processing Computer vision Imaging