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Bag-of-words model in computer vision
Results: 79

#	Item
31	Learning Cross-modality Similarity for Multinomial Data Yangqing Jia UC Berkeley EECS Mathieu Salzmann TTI-Chicago Add to Reading List Source URL: www.eecs.berkeley.edu Language: English - Date: 2013-10-18 17:47:26 Topic model Mixture model Information retrieval Maximum likelihood Modal logic Dirichlet distribution Dirichlet process Dynamic topic model Bag of words model in computer vision Statistics Statistical natural language processing Latent Dirichlet allocation
32	Figure - Ground Image Segmentation Helps Weakly-Supervised Learning of Objects Katerina Fragkiadaki Problem Input: An image collection containing a common object Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2013-12-11 22:58:24 Imaging Computer vision Segmentation Caltech 101 Figure–ground Kadir–Brady saliency detector Bag of words model in computer vision Image processing Vision Optics
33	A Probabilistic Model for Recursive Factorized Image Features Sergey Karayev 1 1 Mario Fritz 1,2 Add to Reading List Source URL: sergeykarayev.com Language: English - Date: 2015-01-07 04:16:21 Statistical natural language processing Latent Dirichlet allocation Visual cortex Mixture model Bag of words model in computer vision Statistics Anatomy Machine learning
34	To appear in Proceedings of the 9th European Conference on Computer Vision, [removed]Hyperfeatures – Multilevel Local Coding for Visual Recognition Ankur Agarwal and Bill Triggs GRAVIR-INRIA-CNRS, 655 Avenue de l’Europ Add to Reading List Source URL: eprints.pascal-network.org Language: English - Date: 2006-02-17 11:56:25 Signal processing Vector quantization Feature Object recognition Visual descriptors Quantization Histogram Bag of words model in computer vision Histogram of oriented gradients Computer vision Artificial intelligence Statistics
35	Beyond Sliding Windows: Object Localization by Efficient Subwindow Search Christoph H. Lampert Matthew B. Blaschko Max Planck Institute for Biological Cybernetics[removed]T¨ubingen, Germany Add to Reading List Source URL: www.is.tuebingen.mpg.de Language: English - Date: 2011-01-20 08:10:48 Information science Object recognition Histogram Face detection Gain Support vector machine Bag of words model in computer vision Statistics Computer vision Artificial intelligence
36	Cascaded Classification Models: Combining Models for Holistic Scene Understanding Geremy Heitz Stephen Gould Department of Electrical Engineering Add to Reading List Source URL: ai.stanford.edu Language: English - Date: 2008-11-05 13:08:59 Face detection Segmentation Object recognition Viola–Jones object detection framework Statistical classification LabelMe Boosting methods for object categorization Bag of words model in computer vision Computer vision Face recognition Image processing
37	Localizing Objects with Smart Dictionaries Brian Fulkerson, Andrea Vedaldi, and Stefano Soatto Department of Computer Science, University of California, Los Angeles, CA 90095 {bfulkers,vedaldi,soatto}@cs.ucla.edu Add to Reading List Source URL: vision.ucla.edu Language: English - Date: 2010-08-14 15:18:06 Imaging Vision Segmentation Histogram Bag of words model in computer vision Object recognition Image processing Computer vision Statistics
38	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
39	Google files patent for recognizing text in images Description BACKGROUND Add to Reading List Source URL: web2innovations.com Language: English - Date: 2014-07-24 20:33:32 Vision Super-resolution Template matching Pixel Feature Stereoscopy Digital image Kadir–Brady saliency detector Bag of words model in computer vision Image processing Computer graphics Imaging
40	Effects of generative and discriminative learning on use of category variability Anne S. Hsu ([removed]) Department of Cognitive, Perceptual and Brain Sciences, University College London, London, UK Thomas L. Add to Reading List Source URL: ahsu.psychol.ucl.ac.uk Language: English - Date: 2012-01-09 14:24:48 Artificial intelligence Learning Generative model Discriminative model Pattern recognition Graphical model Language acquisition Bag of words model in computer vision Linear classifier Machine learning Statistics Statistical models