COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION

Ph.D

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Bibliographic Details
Main Author: ZHANG MENGMI
Other Authors: DEAN'S OFFICE (NGS FOR INTGR SCI & ENGG)
Format: Theses and Dissertations
Language:English
Published: 2019
Subjects:
Online Access:https://scholarbank.nus.edu.sg/handle/10635/154983
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-1549832019-06-01T13:10:15Z COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION ZHANG MENGMI DEAN'S OFFICE (NGS FOR INTGR SCI & ENGG) YEN SHIH-CHENG LIM JOO HWEE FENG JIASHI visual attention, saliency, biologically-inspired vision, bottom-up attention, top-down attention, eye fixation Ph.D DOCTOR OF PHILOSOPHY 2019-05-31T18:02:51Z 2019-05-31T18:02:51Z 2019-01-17 Thesis ZHANG MENGMI (2019-01-17). COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/154983 0000-0002-2694-7097 en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic visual attention, saliency, biologically-inspired vision, bottom-up attention, top-down attention, eye fixation
spellingShingle visual attention, saliency, biologically-inspired vision, bottom-up attention, top-down attention, eye fixation
ZHANG MENGMI
COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
description Ph.D
author2 DEAN'S OFFICE (NGS FOR INTGR SCI & ENGG)
author_facet DEAN'S OFFICE (NGS FOR INTGR SCI & ENGG)
ZHANG MENGMI
format Theses and Dissertations
author ZHANG MENGMI
author_sort ZHANG MENGMI
title COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
title_short COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
title_full COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
title_fullStr COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
title_full_unstemmed COMPUTATIONAL MODELS OF BOTTOM-UP AND TOP-DOWN VISUAL ATTENTION
title_sort computational models of bottom-up and top-down visual attention
publishDate 2019
url https://scholarbank.nus.edu.sg/handle/10635/154983
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