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Part-based models
Results: 51

#	Item
21	Web-based Models for Natural Language Processing MIRELLA LAPATA and FRANK KELLER University of Edinburgh Previous work demonstrated that web counts can be used to approximate bigram counts, thus suggesting that web-based Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2006-01-25 12:04:52 Corpus linguistics Natural language processing Speech recognition Markov models Word-sense disambiguation Text corpus N-gram Part-of-speech tagging Language model Linguistics Computational linguistics Science
22	Position Statement on Physician Assistants Team-based models of medical care that are characterised by responsiveness to local needs, mutual reliance and flexibility have always been a part of rural and remote medicine. Add to Reading List Source URL: www.acrrm.org.au Language: English - Date: 2014-04-03 14:48:42 Health care provider Allied health professions Nurse practitioner Family medicine Physician Medical school Rural health Health care American Academy of Physician Assistants Medicine Health Physician assistant
23	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
24	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
25	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
26	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
27	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
28	1 Object Detection with Discriminatively Trained Part Based Models Pedro F. Felzenszwalb, Ross B. Girshick, David McAllester and Deva Ramanan Abstract—We describe an object detection system based on mixtures of multis Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:34 Mathematics Filter Stochastic gradient descent Part-based models Statistics Statistical classification Support vector machine
29	Practical 3-D Object Detection Using Category and Instance-level Appearance Models Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell Abstract— Effective ro Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Surveillance Segmentation Object recognition Histogram of oriented gradients Part-based models Pedestrian detection Object detection Range segmentation Longuet-Higgins Prize Computer vision Vision Image processing
30	Object Detection with Heuristic Coarse-to-Fine Search Ross Girshick May 29, 2009 Abstract Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-05-01 18:04:37 Science Mathematical optimization Search algorithms Heuristic function Operations research Heuristic Part-based models A* search algorithm Admissible heuristic Heuristics Artificial intelligence Mathematics

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