Cognitive neuroscience of visual object recognition

Results: 9



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1The Neural Basis for Spatial Relations Prin X. Amorapanth, Page Widick, and Anjan Chatterjee Abstract ■ Studies in semantics traditionally focus on knowledge of

The Neural Basis for Spatial Relations Prin X. Amorapanth, Page Widick, and Anjan Chatterjee Abstract ■ Studies in semantics traditionally focus on knowledge of

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Source URL: ccn.upenn.edu

Language: English - Date: 2010-04-08 12:08:43
2Objects 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

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Source URL: vision.stanford.edu

Language: English - Date: 2010-07-14 19:17:56
3Learning to discount transformations as the computational goal of visual cortex Joel Z Leibo Jim Mutch Tomaso Poggio

Learning to discount transformations as the computational goal of visual cortex Joel Z Leibo Jim Mutch Tomaso Poggio

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Source URL: cbcl.mit.edu

Language: English - Date: 2011-06-17 11:12:15
4Learning to discount transformations as the computational goal of visual cortex Joel Z Leibo Jim Mutch Tomaso Poggio

Learning to discount transformations as the computational goal of visual cortex Joel Z Leibo Jim Mutch Tomaso Poggio

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Source URL: cbcl.mit.edu

Language: English - Date: 2011-06-17 11:12:15
5On the Dfficulty of Feature-Based Attentional Modulations in Visual Object Recognition: A Modeling Study

On the Dfficulty of Feature-Based Attentional Modulations in Visual Object Recognition: A Modeling Study

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Source URL: cbcl.mit.edu

Language: English - Date: 2004-10-06 13:53:58
6MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES

MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES

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Source URL: cbcl.mit.edu

Language: English - Date: 2001-05-08 13:26:53
7The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition Alex Clarke1, Kirsten I. Taylor1,2, and Lorraine K. Tyler1 Abstract ■ Research on the spatio-temporal dynamics of visual object rec-

The Evolution of Meaning: Spatio-temporal Dynamics of Visual Object Recognition Alex Clarke1, Kirsten I. Taylor1,2, and Lorraine K. Tyler1 Abstract ■ Research on the spatio-temporal dynamics of visual object rec-

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Source URL: csl.psychol.cam.ac.uk

Language: English - Date: 2011-06-01 10:58:46
8Confidence Based updation of Motion Conspicuity in Dynamic Scenes Vivek Kumar Singh, Subhransu Maji and Amitabha Mukerjee, Dept of Computer Science and Engineering, Indian Institute of Technology Kanpur, India. viveksin@

Confidence Based updation of Motion Conspicuity in Dynamic Scenes Vivek Kumar Singh, Subhransu Maji and Amitabha Mukerjee, Dept of Computer Science and Engineering, Indian Institute of Technology Kanpur, India. viveksin@

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Source URL: www.cse.iitk.ac.in

Language: English - Date: 2006-03-28 09:12:44
9

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Source URL: www.unites.uqam.ca

Language: English - Date: 2006-04-03 12:02:55