Improved extreme learning machine and its application in image quality assessment

DOI10.1155/2014/426152zbMath1407.62260OpenAlexW2109235760WikidataQ59067068 ScholiaQ59067068MaRDI QIDQ1718361

Hong Yang, Li Mao, Chaofeng Li, Xingyang Liu, Li-Dong Zhang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/426152

Mathematics Subject Classification ID

Linear regression; mixed models (62J05)

Cites Work

• Automated flare prediction using extreme learning machine
• Weighted least squares support vector machines: robustness and sparse approximation
• Support-vector networks
• Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
• Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
• No-Reference Image Quality Assessment in the Spatial Domain

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