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Constellation model
Results: 57

#	Item
21	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
22	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
23	An Exemplar-based CRF for Multi-instance Object Segmentation Xuming He NICTA and CECS, ANU, Canberra Stephen Gould CECS, ANU, Canberra Add to Reading List Source URL: users.cecs.anu.edu.au Language: English - Date: 2014-05-21 09:25:11 Imaging Computer vision Segmentation Object Conditional random field Constellation model Image processing Vision Artificial intelligence
24	IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29, NO. 3, MARCH 2007 Add to Reading List Source URL: cbcl.mit.edu Language: English - Date: 2007-02-07 13:06:08 Computer vision Image processing Segmentation Object recognition Constellation model Visual cortex Face detection Symmetry Object database Vision Artificial intelligence Imaging
25	Chapter 8 Multi-view Object Categorization and Pose Estimation Silvio Savarese and Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:29:56 Visual effects 3D computer graphics Robot control Object recognition Face recognition Pose Constellation model 3D modeling Face detection Computer vision Vision Imaging
26	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
27	A Hierarchical Model of Shape and Appearance for Human Action Classification Juan Carlos Niebles Universidad del Norte, Colombia University of Illinois at Urbana-Champaign, USA Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2009-05-16 21:56:26 Physics Artificial intelligence Probability and statistics Classical mechanics Bag of words model in computer vision One-shot learning Connection Constellation model Dimensional analysis
28	PICTORIAL STRUCTURES FOR OBJECT RECOGNITION AND PART LABELING IN DRAWINGS Amir Sadovnik and Tsuhan Chen Department of Electrical and Computer Engineering, Cornell University ABSTRACT Add to Reading List Source URL: chenlab.ece.cornell.edu Language: English - Date: 2011-05-05 11:49:42 Imaging Artificial intelligence Constellation model Object recognition Segmentation Drawing Kadir–Brady saliency detector One-shot learning Computer vision Image processing Vision
29	Int J Comput Vis DOI[removed]s11263[removed]OPTIMOL: Automatic Online Picture Collection via Incremental Model Learning Li-Jia Li · Li Fei-Fei Add to Reading List Source URL: vision.stanford.edu Language: English - Date: 2013-09-22 18:53:30 Machine learning Computer vision California Institute of Technology Caltech 101 Image processing Constellation model Segmentation Object recognition Latent Dirichlet allocation Artificial intelligence Vision Imaging
30	Multi-Scale Object Detection by Clustering Lines ? Bj¨orn Ommer Jitendra Malik Computer Science Division, EECS University of California at Berkeley {ommer, malik}@eecs.berkeley.edu Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2009-08-03 14:27:04 Vision Imaging Object recognition Hough transform Cluster analysis Constellation model Segmentation Scale space Voting system Computer vision Image processing Statistics