Convolutional sparse coding‐based deep random vector functional link network for distress classification of road structures

This paper presents a convolutional sparse coding (CSC)‐based deep random vector functional link network (CSDRN) for distress classification of road structures. The main contribution of this paper is the introduction of CSC into a feature extraction scheme in the distress classification. CSC can ext...

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Bibliographic Details

Published in:	Computer-aided civil and infrastructure engineering Vol. 34; no. 8; pp. 654 - 676
Main Authors:	Maeda, Keisuke, Takahashi, Sho, Ogawa, Takahiro, Haseyama, Miki
Format:	Journal Article
Language:	English
Published:	Hoboken Wiley Subscription Services, Inc 01.08.2019
Subjects:	BASIC (programming language) Classification Coding Dictionaries Feature extraction Feature maps Image classification Neural networks Target recognition Training
ISSN:	1093-9687, 1467-8667
Online Access:	Get full text
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