Scene statistics

Results: 72



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21INSTITUTE OF PHYSICS PUBLISHING  NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst[removed]–412

INSTITUTE OF PHYSICS PUBLISHING NETWORK: COMPUTATION IN NEURAL SYSTEMS Network: Comput. Neural Syst[removed]–412

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Source URL: cvcl.mit.edu

Language: English - Date: 2003-05-15 00:00:00
22Proceedings of 2010 IEEE 17th International Conference on Image Processing  September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION

Proceedings of 2010 IEEE 17th International Conference on Image Processing September 26-29, 2010, Hong Kong COMBINING FREE ENERGY SCORE SPACES WITH INFORMATION THEORETIC KERNELS: APPLICATION TO SCENE CLASSIFICATION

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Source URL: profs.sci.univr.it

Language: English - Date: 2012-06-26 09:41:00
23Redundancy Reduction for Computational Audition, a Unifying Approach Paris Smaragdis Bachelor of Music (magna cum laude) Berklee College of Music,1995 Masters of Science in Media Technology

Redundancy Reduction for Computational Audition, a Unifying Approach Paris Smaragdis Bachelor of Music (magna cum laude) Berklee College of Music,1995 Masters of Science in Media Technology

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Source URL: web.media.mit.edu

Language: English - Date: 2005-01-24 19:20:17
24PartⅠ Research Trends in the ICT Inspired by Life “Where the world ceases to be the scene of our personal hopes and wishes, where we face it as free beings admiring, asking and observing, there we enter the realm of

PartⅠ Research Trends in the ICT Inspired by Life “Where the world ceases to be the scene of our personal hopes and wishes, where we face it as free beings admiring, asking and observing, there we enter the realm of

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Source URL: www.nict.go.jp

Language: English - Date: 2013-11-21 20:25:25
25Automatic Invention of Fitness Functions with Application to Scene Generation Simon Colton Department of Computing, Imperial College, London 180 Queens Gate, London, SW7 2RH, UK [removed]

Automatic Invention of Fitness Functions with Application to Scene Generation Simon Colton Department of Computing, Imperial College, London 180 Queens Gate, London, SW7 2RH, UK [removed]

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Source URL: www.thepaintingfool.com

Language: English - Date: 2013-10-24 13:18:45
26Interactive View-Dependent Rendering with Conservative Occlusion Culling in Complex Environments Sung-Eui Yoon Brian Salomon Dinesh Manocha University of North Carolina at Chapel Hill

Interactive View-Dependent Rendering with Conservative Occlusion Culling in Complex Environments Sung-Eui Yoon Brian Salomon Dinesh Manocha University of North Carolina at Chapel Hill

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Source URL: gamma.cs.unc.edu

Language: English - Date: 2003-09-12 01:41:49
27Report for Earth Observation Centre (EOC) Task 3.1: Hi-Resolution Scene Brightness and BRDF Testing of Scene Brightness or BRDF correction techniques using DMSV data

Report for Earth Observation Centre (EOC) Task 3.1: Hi-Resolution Scene Brightness and BRDF Testing of Scene Brightness or BRDF correction techniques using DMSV data

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Source URL: www.eoc.csiro.au

Language: English - Date: 2001-06-22 01:58:52
28research highlights doi:[removed][removed]Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

research highlights doi:[removed][removed]Discriminative Learning with Latent Variables for Cluttered Indoor Scene Understanding

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Source URL: users.cecs.anu.edu.au

Language: English - Date: 2013-03-26 21:03:55
29Report for Earth Observation Centre (EOC) Task 3.1: Hi-Resolution Scene Brightness and BRDF Testing of Scene Brightness or BRDF correction techniques using DMSV data

Report for Earth Observation Centre (EOC) Task 3.1: Hi-Resolution Scene Brightness and BRDF Testing of Scene Brightness or BRDF correction techniques using DMSV data

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Source URL: www.cossa.csiro.au

Language: English - Date: 2001-06-22 01:58:52
30A. FURLAN et al.: FREE YOUR CAMERA  1 Free your Camera: 3D Indoor Scene Understanding from

A. FURLAN et al.: FREE YOUR CAMERA 1 Free your Camera: 3D Indoor Scene Understanding from

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Source URL: vision.stanford.edu

Language: English - Date: 2014-04-21 18:07:53