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Pure-CNN: A Framework for Fruit Images Classification:
, In:
2018 International Conference on Computational Science and Computational Intelligence (CSCI)
,
Kausar, Asia
;
Sharif, Mohsin
;
Park, Jinhyuck
. - p. 404-408 , 2018
Link:
https://doi.org/10.1109/CSCI46756.2018.00082
RT T1 <cTitle>2018 International Conference on Computational Science and Computational Intelligence (CSCI)</cTitle>: T1 <Title>Pure-CNN: A Framework for Fruit Images Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8947815&Exemplar=1&LAN=DE A1 Kausar, Asia A1 Sharif, Mohsin A1 Park, Jinhyuck A1 Shin, Dong Ryeol YR 2018 K1 Feature extraction K1 Image color analysis K1 Training K1 Task analysis K1 Shape K1 Convolutional neural networks K1 Dimensionality reduction K1 Convolutional Neural Network, Fruit classification, Object recognition, Multi-class image classification, Deep Learning SP 404 OP 408 LK http://dx.doi.org/https://doi.org/10.1109/CSCI46756.2018.00082 DO https://doi.org/10.1109/CSCI46756.2018.00082 SF ELIB - SuUB Bremen
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