Part-based models

Results: 51



#Item
1Tutorial Workshop, Madeira, 21-23th OctoberThe continuum description of agent-based models (part II) Federico Vázquez, Cristóbal López and Maxi San Miguel IFISC, Instituto de Fisica Interdisciplinar y Sistemas

Tutorial Workshop, Madeira, 21-23th OctoberThe continuum description of agent-based models (part II) Federico Vázquez, Cristóbal López and Maxi San Miguel IFISC, Instituto de Fisica Interdisciplinar y Sistemas

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Source URL: www.patres-project.eu

Language: English - Date: 2009-10-26 13:09:44
2Vision-based Bicycle Detection and Tracking using a Deformable Part Model and an EKF Algorithm Hyunggi Cho, Paul E. Rybski and Wende Zhang Abstract— Bicycles that share the road with intelligent vehicles present partic

Vision-based Bicycle Detection and Tracking using a Deformable Part Model and an EKF Algorithm Hyunggi Cho, Paul E. Rybski and Wende Zhang Abstract— Bicycles that share the road with intelligent vehicles present partic

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Source URL: www.ri.cmu.edu

Language: English - Date: 2010-07-23 16:14:25
3Assignment 4 L445 / L545 / B659 Due Tuesday, March 1 1. Using your knowledge of n-grams, explain to a layperson what n-grams models are, what they do, what they don’t do well, and why smoothing is necessary. You should

Assignment 4 L445 / L545 / B659 Due Tuesday, March 1 1. Using your knowledge of n-grams, explain to a layperson what n-grams models are, what they do, what they don’t do well, and why smoothing is necessary. You should

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Source URL: cl.indiana.edu

Language: English - Date: 2016-02-18 19:43:03
4Microsoft Word - Ramanan.doc

Microsoft Word - Ramanan.doc

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Source URL: svg.dmi.unict.it

Language: English - Date: 2012-04-18 02:34:46
5Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University   Pedro Felzenszwalb

Spatial Priors for Part-Based Recognition using Statistical Models David Crandall1 Cornell University Pedro Felzenszwalb

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Source URL: cs.brown.edu

Language: English - Date: 2015-04-07 21:33:20
    6Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models Megha Pandey and Svetlana Lazebnik Dept. of Computer Science, University of North Carolina at Chapel Hill {megha,lazebnik}@cs.

    Scene Recognition and Weakly Supervised Object Localization with Deformable Part-Based Models Megha Pandey and Svetlana Lazebnik Dept. of Computer Science, University of North Carolina at Chapel Hill {megha,lazebnik}@cs.

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    Source URL: www.cs.unc.edu

    Language: English - Date: 2011-11-03 01:31:47
      7Setting up models Part 2 NITP 2011 How this works •  Model setups based on FSL list

      Setting up models Part 2 NITP 2011 How this works •  Model setups based on FSL list

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      Source URL: www.brainmapping.org

      Language: English - Date: 2011-07-14 11:32:07
        81  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

        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

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        Source URL: rogerioferis.com

        Language: English - Date: 2014-01-19 10:30:05
          9Class 5: Deformable Part-Based Models  Rogerio Feris, Feb 27, 2014 EECS 6890 – Topics in Information Processing Spring 2014, Columbia University http://rogerioferis.com/VisualRecognitionAndSearch2014

          Class 5: Deformable Part-Based Models Rogerio Feris, Feb 27, 2014 EECS 6890 – Topics in Information Processing Spring 2014, Columbia University http://rogerioferis.com/VisualRecognitionAndSearch2014

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          Source URL: rogerioferis.com

          Language: English - Date: 2014-03-07 13:11:38
            10Project Ideas Fine-grained Categorization of Wild Animals ‘in the Wild’  Build a web demo for fine-grained categorization of animals and/or their activities. You can consider a subset of images and classes of the

            Project Ideas Fine-grained Categorization of Wild Animals ‘in the Wild’  Build a web demo for fine-grained categorization of animals and/or their activities. You can consider a subset of images and classes of the

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            Source URL: rogerioferis.com

            Language: English - Date: 2014-02-07 23:32:21