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CNN
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#	Item
21	Microsoft Word - CNN TASK - COMPASS Article #31.doc Add to Reading List Source URL: www.cnnmediainfo.com Language: English - Date: 2017-05-16 07:23:24
22	Microsoft Word - CNN TASK - COMPASS Article #41.doc Add to Reading List Source URL: www.cnnmediainfo.com Language: English - Date: 2017-05-16 07:23:24
23	Report September 2015 The political economy of the news media in the Philippines and the framing of news stories on the GPH-CNN peace process Add to Reading List Source URL: philippines.mom-rsf.org Language: English - Date: 2017-01-04 08:18:43
24	EXAMPLES OF PAST IARC MEDIA SOURCES Scientific American Frontiers Discovery Channel: “Next Step” Discovery Channel: “World of Wonder” CNN Add to Reading List Source URL: www.aerialroboticscompetition.org Language: English - Date: 2018-04-29 02:00:48
25	Lecture 9: CNN Architectures Fei-Fei Li & Justin Johnson & Serena Yeung Lecture 9 - 1 Add to Reading List Source URL: cs231n.stanford.edu Language: English - Date: 2017-05-02 14:50:07
26	http://www.cnn.comtravel/labyrinths-worth-exploring/index.html?hpt=hp_bn10 7 labyrinths worth exploring By Maud Doyle , Departures updated 9:28 AM EDT, Wed October 9, 2013 Add to Reading List Source URL: labyrinthnetworknorthwest.org. Language: English - Date: 2013-10-10 12:27:30
27	The study was conducted for CNN via telephone by SSRS, an independent research company. Interviews were conducted from March 22, 2018 to March 25, 2018 among a sample of 1,014 respondents. The landline total respondents Add to Reading List Source URL: cdn.cnn.com - Date: 2018-03-26 15:32:13
28	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Hao Su* Charles R. Qi* Yangyan Li Add to Reading List Source URL: ai.stanford.edu - Date: 2015-12-16 05:30:21
29	Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views Supplementary Material Hao Su⇤ , Charles R. Qi⇤ , Yangyan Li, Leonidas J. Guibas Stanford University A. Organization of t Add to Reading List Source URL: shapenet.cs.stanford.edu - Date: 2015-09-25 04:27:53
30	CNN Features off-the-shelf: an Astounding Baseline for Recognition Abstract CNN Representation Add to Reading List Source URL: arxiv.org - Date: 2014-05-12 20:46:06