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ORCIDICDLT 2017: Chengdu, China
- Proceedings of the 2017 International Conference on Deep Learning Technologies, ICDLT '17, Chengdu, China, June 2-4, 2017. ACM 2017, ISBN 978-1-4503-5232-1
Machine Learning and Deep Learning
- Shenghao Tang, Wei You, Changqing Shen
, Juanjuan Shi, Shuang Li, Zhongkui Zhu:
A self-adaptive deep belief network with Nesterov momentum for the fault diagnosis of rolling element bearings. 1-5 - Yulei Pang, Xiaozhen Xue, Huaying Wang:
Predicting Vulnerable Software Components through Deep Neural Network. 6-10 - Michael Baucum, Daniel Belotto, Sayre Jeannet, Eric Savage, Prannoy Mupparaju, Carlos W. Morato:
Semi-supervised Deep Continuous Learning. 11-18 - An Zhu, Yu Meng, Changjiang Zhang:
An improved Adam Algorithm using look-ahead. 19-22 - Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, Zhifu Zhao:
Real-Time Illegal Parking Detection System Based on Deep Learning. 23-27 - Yu-Che Huang, Tai-Shen Huang:
A study of Green Natural Learning Method at the Improvement of Cognitive Function "Take the elderly with mild dementia as example". 28-35 - Animesh Karnewar, Ameeth Kanawaday, Chinmay Sawant, Yash Gupta:
Classification of Abstract Images using Machine Learning. 36-40
Artificial Intelligence and Information Engineering
- Qi Xu, Yuexian Hou:
Improving the Generalization Ability of Restricted Boltzmann Machines via Theta Pure Dependency. 41-45 - Rong Hu:
Research of Branching Heuristic Strategy for Implied Literal in Shortest Clause for SAT Problem. 46-50 - Fengtao Xiang, Xueqiang Gu, Yu Xie, Liang Pan, Jian Zhang:
Visual Perception of Robots based on Sparse Representation and Optimization. 51-55 - Swee Shu Luing Nikalus, Sau Loong Ang, Sim Ee Kee, Pei Ling Ooi:
Predictive Analytics for Online Purchase Improvement. 56-59 - C. Sianna Puente, Cindy E. Madrid, Miguel Realpe, Boris Xavier Vintimilla:
An Empirical Comparison of DCNN libraries to implement the Vision Module of a Danger Management System. 60-65 - Kai Wang, Jingzhi Liu, Yanjun Cai:
Compressed Sensing based Multi-label Classification without Label Sparsity Level Prior. 66-69
Object Detection and Recognition
- Jiabao Wang, Yang Li, Xiancai Zhang, Zhuang Miao, Gang Tao:
Deep Supervised Hashing with Pairwise Bit Loss. 70-74 - Shan An, Zhibiao Huang, Yu Chen, Dennis Z. Weng:
Near Duplicate Product Image Detection Based on Binary Hashing. 75-80 - Xiuping Meng, Gongbing Su, Qiming Wu, Huiyong Zhou, Langjia Yuan:
A fast forecast method of chromatic aberration based on color luminosity. 81-85 - Qi Bu, Shanzhen Lan, Pin Xu:
A CNN based car model recognition improvement. 86-89 - Xuemei Xie, Xiao Han, Quan Liao, Guangming Shi:
Visualization and Pruning of SSD with the base network VGG16. 90-94 - Miaoyiquan Wang, Weiguo Tong, Shibo Liu:
Fault Detection for Power Line Based on Convolution Neural Network. 95-101
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