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ORCIDICDLT 2019: Xiamen, China
- Proceedings of the 2019 3rd International Conference on Deep Learning Technologies, ICDLT 2019, Xiamen, China, July 05-07, 2019. ACM 2019, ISBN 978-1-4503-7160-5
Deep Learning Technology
- Xu Yang, Guo Liu, Hongyan Hong, Xiaohe Lv, Tingting Qiao, Xiaoya Chen:
Visualization Implementation of a Parallelized Research Platform for Spiking Neural Network Study. 1-5 - Peng-Hui Lyu, Jun Wang, Rui Yuan Wei:
Pavement Crack Image Detection based on Deep Learning. 6-10 - Rong Wang
, Toru Wakahara:
Practice in Caption Generation with Keras: The Design and Evaluation for Attention Models. 11-15 - Jie Lai, Xiaodan Wang, Rui Li, Jinghao Gu:
A Fast Two-Stage Extreme Learning Machine. 16-22 - Jianguo Liu, Blake Woodson:
Deep Learning Classification for Epilepsy Detection Using a Single Channel Electroencephalography (EEG). 23-26 - Hongbing Xiao, Peiyuan Guo, Xiaodong Chen:
Sausage Colony Detection Based on Hyperspectral Image Analysis via Machine Learning. 27-31 - Mengtian Cui, Yue Sun, Yang Lu, Yue Jiang:
Study on the Influence of the Number of Features on the Performance of Software Defect Prediction Model. 32-37 - Fengkai Ke, Daxing Zhao, Guodong Sun, Wei Feng:
A Priority Experience Replay Sampling Method Based on Upper Confidence Bound. 38-41 - Moule Lin, Changxi Chen, Chunchi Lai:
Object detection algorithm based AdaBoost residual correction Fast R-CNN on network. 42-46 - Emmanuel Borkor Nuakoh, Kaushik Roy, Xiaohong Yuan, Albert C. Esterline:
Deep Learning Approach for U.S. Traffic Sign Recognition. 47-50 - Amanda H. Gonsalves, Fadi A. Thabtah, Rami Mustafa A. Mohammad, Gurpreet Singh:
Prediction of Coronary Heart Disease using Machine Learning: An Experimental Analysis. 51-56 - Zhaoxi Wang, Meng Zhao, Shengyong Chen:
Feature Selection Based on Extreme Learning Machine. 57-63
Computer Vision
- Raheel Siddiqi:
Automated Pneumonia Diagnosis using a Customized Sequential Convolutional Neural Network. 64-70 - Chao Chen, Qi Yan, Meng Li, Jijun Tong:
Classification of Blurred Flowers Using Convolutional Neural Networks. 71-74 - Weili Chen, Chao Jia, Shuai He:
End-to-End Vision-to-Motion Model with Auxiliary Segmentation Module for Indoor Navigation. 75-80 - Yining Nie, Bin Liang, Peng Huang, Wenting Ren, Jianrong Dai:
A Study on Image Based Gender Classification Using Convolutional Neural Network. 81-84 - Tang Xia Qing, Wu Fan, Zong Yan Tao:
Camera Pose Estimation Method Based on Deep Neural Network. 85-90 - Raheel Siddiqi:
Effectiveness of Transfer Learning and Fine Tuning in Automated Fruit Image Classification. 91-100
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