Local receptive fields based extreme learning machine with hybrid filter kernels for image classification

DOI10.1007/S11045-018-0598-9zbMath1429.94012OpenAlexW2808098454MaRDI QIDQ2002382

Yuemei Zhu, Tianhong Yan, Amaury Lendasse, Bo He, Rui Nian, Yan Song, Yue Shen, Qixin Sha

Publication date: 12 July 2019

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11045-018-0598-9

zbMATH Keywords

Gabor filtersimage classificationdata augmentationextreme learning machinelocal receptive fields

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• Yale Face
• Outex
• ImageNet
• AlexNet
• STL-10 dataset

Cites Work

• AlexNet
• Support-vector networks

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