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62![Journal of Experimental Psychology: General 2016, Vol. 145, No. 1, 82–94 © 2016 American Psychological Association/$12.00 http://dx.doi.orgxge0000129 Journal of Experimental Psychology: General 2016, Vol. 145, No. 1, 82–94 © 2016 American Psychological Association/$12.00 http://dx.doi.orgxge0000129](https://www.pdfsearch.io/img/77229b312fa4d14fcebabd984de4d471.jpg) | Add to Reading ListSource URL: vision.stanford.eduLanguage: English - Date: 2016-01-05 19:05:51
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63![Objects as Attributes for Scene Classification Li-Jia Li*, Hao Su*, Yongwhan Lim, Li Fei-Fei Computer Science Department, Stanford University Abstract. Robust low-level image features have proven to be effective represen Objects as Attributes for Scene Classification Li-Jia Li*, Hao Su*, Yongwhan Lim, Li Fei-Fei Computer Science Department, Stanford University Abstract. Robust low-level image features have proven to be effective represen](https://www.pdfsearch.io/img/4142ec951a06ec03e0deb995e3ed6870.jpg) | Add to Reading ListSource URL: vision.stanford.eduLanguage: English - Date: 2010-07-14 19:17:56
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64![Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability Jingwei Huang1,2,⋆ , Huarong Chen1,2,⋆ , Bin Wang1,2 , Stephen Lin3 1 School of Software, Tsinghua University 2 Tsingh Automatic Thumbnail Generation Based on Visual Representativeness and Foreground Recognizability Jingwei Huang1,2,⋆ , Huarong Chen1,2,⋆ , Bin Wang1,2 , Stephen Lin3 1 School of Software, Tsinghua University 2 Tsingh](https://www.pdfsearch.io/img/bae08dc3f5f2b8b8ea73c206cb16d9d9.jpg) | Add to Reading ListSource URL: www.cv-foundation.orgLanguage: English - Date: 2015-10-24 14:57:22
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65![Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗ Local Convolutional Features with Unsupervised Training for Image Retrieval Mattis Paulin 1 Julien Mairal1 1 Inria ∗](https://www.pdfsearch.io/img/1ae8934ef851357cda13e554308d737e.jpg) | Add to Reading ListSource URL: www.cv-foundation.orgLanguage: English - Date: 2015-10-24 14:55:25
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66![CGI2012 manuscript No. (will be inserted by the editor) Transferring Characteristic Proportions to Modify the Artistic Style of Cartoons Philip Buchanan · Michael Doggett CGI2012 manuscript No. (will be inserted by the editor) Transferring Characteristic Proportions to Modify the Artistic Style of Cartoons Philip Buchanan · Michael Doggett](https://www.pdfsearch.io/img/e9d29c89525e7adc05e9a7117afd52c6.jpg) | Add to Reading ListSource URL: fileadmin.cs.lth.seLanguage: English - Date: 2012-03-30 08:16:12
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67![Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao1 , Xiaoye Jiang2 , Aditya Khosla1 , Andy Lai Lin3 , Leonidas Guibas1 , and Li Fei-Fei1 1 2 Human Action Recognition by Learning Bases of Action Attributes and Parts Bangpeng Yao1 , Xiaoye Jiang2 , Aditya Khosla1 , Andy Lai Lin3 , Leonidas Guibas1 , and Li Fei-Fei1 1 2](https://www.pdfsearch.io/img/ae7c87bf66690d72ba14e7351e8dd948.jpg) | Add to Reading ListSource URL: geometry.stanford.eduLanguage: English - Date: 2011-09-28 17:56:07
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68![IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Multi-Scale Categorical Object Recognition Using Contour Fragments IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Multi-Scale Categorical Object Recognition Using Contour Fragments](https://www.pdfsearch.io/img/845ffeb1c9738813f175fcaa601ad13d.jpg) | Add to Reading ListSource URL: jamie.shotton.orgLanguage: English - Date: 2013-04-10 20:20:44
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69![Fine-Grained Recognition without Part Annotations Jonathan Krause1 Hailin Jin2 1 Stanford University Fine-Grained Recognition without Part Annotations Jonathan Krause1 Hailin Jin2 1 Stanford University](https://www.pdfsearch.io/img/22623c7c0703a938bfa311aa06e9ff3f.jpg) | Add to Reading ListSource URL: vision.stanford.eduLanguage: English - Date: 2015-07-12 18:35:39
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70![M Machine Recognition of Objects Tomaso Poggio and Shimon Ullman Department of Brain and Cognitive Sciences, McGovern Institute, Massachusetts Institute of M Machine Recognition of Objects Tomaso Poggio and Shimon Ullman Department of Brain and Cognitive Sciences, McGovern Institute, Massachusetts Institute of](https://www.pdfsearch.io/img/46990ff7c259ca0d3e8ddb23885e2ebc.jpg) | Add to Reading ListSource URL: www.cse.cuhk.edu.hkLanguage: English - Date: 2015-04-11 07:17:47
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