Nonlinear Regression of Saliency Guided Proposals for Unsupervised Segmentation of Dynamic Scenes

Journal article

Open access

Peer reviewed

IEICE transactions on information and systems, Vol.E99.D(2), pp.467-474

2016

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https://doi.org/10.1587/transinf.2015EDP7295View

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.17 Computer Vision & Graphics; 4.17.128 Deep Learning
Web Of Science research areas: Computer Science, Information Systems; Computer Science, Software Engineering
ESI research areas: Computer Science

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Title: Nonlinear Regression of Saliency Guided Proposals for Unsupervised Segmentation of Dynamic Scenes
Creators: Yinhui ZHANG - Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
Mohamed ABDEL-MOTTALEB - Department of Electrical and Computer Engineering, University of Miami, Effat University
Zifen HE - Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology
Publication Details: IEICE transactions on information and systems, Vol.E99.D(2), pp.467-474
Academic Unit: Leadership Department; College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031576034902976