471![Salient Object Detection for Searched Web Images via Global Saliency Peng Wang1 Jingdong Wang2 Gang Zeng1 Jie Feng1 Hongbin Zha1 Shipeng Li2 1 Key Laboratory on Machine Perception, Peking University 2 Microsoft Research Salient Object Detection for Searched Web Images via Global Saliency Peng Wang1 Jingdong Wang2 Gang Zeng1 Jie Feng1 Hongbin Zha1 Shipeng Li2 1 Key Laboratory on Machine Perception, Peking University 2 Microsoft Research](https://www.pdfsearch.io/img/927d5f3abb1badec3b1dc10d5b46fc8c.jpg) | Add to Reading ListSource URL: research.microsoft.comLanguage: English - Date: 2012-03-30 05:59:33
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472![Rich feature hierarchies for accurate object detection and semantic segmentation Tech report Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1 Rich feature hierarchies for accurate object detection and semantic segmentation Tech report Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1](https://www.pdfsearch.io/img/2268e94d37729066c088036d374e7077.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2013-11-11 20:26:01
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473![Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada](https://www.pdfsearch.io/img/8f63e2dd552e7820cc96b7ad155d34e4.jpg) | Add to Reading ListSource URL: www.cs.ubc.caLanguage: English - Date: 2012-01-23 21:31:46
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474![98 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29, 98 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 29,](https://www.pdfsearch.io/img/cef9bb192646307f96400287f0198387.jpg) | Add to Reading ListSource URL: www.cs.umd.eduLanguage: English - Date: 2007-06-27 14:26:52
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475![Computer Vision Kitware’s Computer Vision team is a leader in the creation and support of state-of-the-art technology, providing robust solutions to academic and government institutions, such as DARPA, IARPA, and the A Computer Vision Kitware’s Computer Vision team is a leader in the creation and support of state-of-the-art technology, providing robust solutions to academic and government institutions, such as DARPA, IARPA, and the A](https://www.pdfsearch.io/img/a52f2ff85c55a689677b9d75c369c92c.jpg) | Add to Reading ListSource URL: www.kitware.comLanguage: English - Date: 2012-10-08 13:36:56
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476![Invited Applications Paper Discriminative Latent Variable Models for Object Detection Pedro Felzenszwalb University of Chicago Invited Applications Paper Discriminative Latent Variable Models for Object Detection Pedro Felzenszwalb University of Chicago](https://www.pdfsearch.io/img/a7ad4b89ec1acf577e8644e057ec00f3.jpg) | Add to Reading ListSource URL: www.icml2010.orgLanguage: English - Date: 2010-06-13 09:06:58
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477![Online Feature Selection for Pixel Classification Karen Glocer [removed] Department of Computer Science, University of California Santa Cruz, Santa Cruz, CA[removed]USA Damian Eads James Theiler Online Feature Selection for Pixel Classification Karen Glocer [removed] Department of Computer Science, University of California Santa Cruz, Santa Cruz, CA[removed]USA Damian Eads James Theiler](https://www.pdfsearch.io/img/84f592fbbb00a8c54971d3174fe380c5.jpg) | Add to Reading ListSource URL: www.machinelearning.orgLanguage: English - Date: 2008-12-01 11:14:32
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478![arXiv:1110.6181v1 [astro-ph.EP] 27 Oct[removed]Detection Technique for Artificially-Illuminated Objects in the Outer Solar System and Beyond Abraham Loeb1,2 and Edwin L. Turner3,4 1 arXiv:1110.6181v1 [astro-ph.EP] 27 Oct[removed]Detection Technique for Artificially-Illuminated Objects in the Outer Solar System and Beyond Abraham Loeb1,2 and Edwin L. Turner3,4 1](https://www.pdfsearch.io/img/ec0140822fded0a285e621bd13edeca8.jpg) | Add to Reading ListSource URL: arxiv.orgLanguage: English - Date: 2013-09-25 00:36:11
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479![TOP-10 MYTHS OF LIGHTNING SAFETY 1. MYTH: Lightning Never Strikes The Same Place Twice TRUTH: Lightning often strikes the same place repeatedly, especially if it’s a tall isolated pointy object. The Empire State Buildi TOP-10 MYTHS OF LIGHTNING SAFETY 1. MYTH: Lightning Never Strikes The Same Place Twice TRUTH: Lightning often strikes the same place repeatedly, especially if it’s a tall isolated pointy object. The Empire State Buildi](https://www.pdfsearch.io/img/f5820ba824d7ed709f1a7e06a8b36533.jpg) | Add to Reading ListSource URL: www.struckbylightning.orgLanguage: English - Date: 2010-03-07 15:26:27
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480![[removed]Hardware Evaluation of Heavy Truck Side and Rear Object Detection Systems W. Riley Garrott and Mark A. Flick National Highway Traffic Safety Administration [removed]Hardware Evaluation of Heavy Truck Side and Rear Object Detection Systems W. Riley Garrott and Mark A. Flick National Highway Traffic Safety Administration](https://www.pdfsearch.io/img/bf4044a7cfc6255da7343c124838c8fc.jpg) | Add to Reading ListSource URL: www.nhtsa.govLanguage: English - Date: 2010-03-17 21:17:22
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