Sparse representations based distributed attribute learning for person re-identification-Reference-Cited by-同舟云学术

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Sparse representations based distributed attribute learning for person re-identification

Published:2017-07-15 Issue:23 Volume:76 Page:25015-25037
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Cheng Keyang,Hui Kaifa,Zhan Yongzhao,Li Maozhen

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

China State Scholarship Fund

International Postdoctoral Exchange Fellowship Program

the science foundation of Zhenjiang city

the scientic research funds for senior talents of Jiangsu University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4967-4/fulltext.html

Reference54 articles.

1. Baraniuk R, Davenport M, Devore R, Wakin M (2008) A simple proof of the restricted isometry property for random matrices. Constr Approx 28(3):253–263

2. Bazzani L, Cristani M, Murino V (2013) Symmetry-driven accumulation of local features for human characterization and re-identification. Comput Vis Image Underst 117(2):130–144

3. Bengio Y, Courville A, Pascal V (2013) Representation learning: a review and new perspectives. IEEE Trans Pattern Anal Mach Intell 35(8):1798–1828

4. Candes E, Romberg J, Tao T (2006) Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE Trans Inf Theory 52(2):489–509

5. Cheng K, Tan X (2014) Sparse representations based attribute learning for flower classification. Neurocomputing 145(18):416–426

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1. A state-of-the-art review on person re-identification with deep learning;International Journal of Ad Hoc and Ubiquitous Computing;2022

2. A pedestrian extraction algorithm based on single infrared image;Infrared Physics & Technology;2020-03

3. Body Symmetry and Part-Locality-Guided Direct Nonparametric Deep Feature Enhancement for Person Reidentification;IEEE Internet of Things Journal;2020-03

4. Multi-Directional Reconstruction Algorithm for Panoramic Camera;Computers, Materials & Continua;2020

5. Hierarchical attributes learning for pedestrian re-identification via parallel stochastic gradient descent combined with momentum correction and adaptive learning rate;Neural Computing and Applications;2019-09-06

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