Extreme learning machine with autoencoding receptive fields for image classification

Chao Wu; Yaqian Li; Zhibiao Zhao; Bin Liu

doi:10.1007/s00521-019-04303-9

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Extreme learning machine with autoencoding receptive fields for image classification

Chao Wu Yaqian Li Zhibiao Zhao Bin Liu

Year: 2019 Journal: Neural Computing and Applications Vol: 32 (12)Pages: 8157-8173 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-019-04303-9

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Keywords:

Extreme learning machine Receptive field Pattern recognition (psychology) Artificial intelligence MNIST database Computer science Feature (linguistics) Feature extraction Convolution (computer science) Encoder Coding (social sciences) Mathematics Deep learning Artificial neural network

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Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Memory and Neural Computing

Physical Sciences → Engineering → Electrical and Electronic Engineering

Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Extreme learning machine with autoencoding receptive fields for image classification

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