Tire Defects Classification Using Convolution Architecture for Fast Feature Embedding
Convolutional Neural Network (CNN) has become an increasingly important research field in machine learning and computer vision. Deep image features can be learned and subsequently used for detection, classification and retrieval tasks in an end-to-end model. In this paper, a supervised feature embed...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2018-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25895960/view |