DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION

Ph.D

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Bibliographic Details
Main Author:	JIANG MING
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2017
Subjects:	visual saliency,visual attention,eye tracking,machine learning,dataset,autism spectrum disorder
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/134953
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-134953
record_format	dspace
spelling	sg-nus-scholar.10635-1349532017-03-02T01:36:03Z DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION JIANG MING ELECTRICAL & COMPUTER ENGINEERING ZHAO QI visual saliency,visual attention,eye tracking,machine learning,dataset,autism spectrum disorder Ph.D DOCTOR OF PHILOSOPHY 2017-02-28T18:01:33Z 2017-02-28T18:01:33Z 2016-08-18 Thesis JIANG MING (2016-08-18). DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/134953 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	visual saliency,visual attention,eye tracking,machine learning,dataset,autism spectrum disorder
spellingShingle	visual saliency,visual attention,eye tracking,machine learning,dataset,autism spectrum disorder JIANG MING DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
description	Ph.D
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING JIANG MING
format	Theses and Dissertations
author	JIANG MING
author_sort	JIANG MING
title	DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
title_short	DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
title_full	DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
title_fullStr	DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
title_full_unstemmed	DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION
title_sort	data-driven approaches to understanding visual attention
publishDate	2017
url	http://scholarbank.nus.edu.sg/handle/10635/134953
_version_	1681097694908514304

DATA-DRIVEN APPROACHES TO UNDERSTANDING VISUAL ATTENTION

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