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面向 5G 通信数字信号处理器内核的高能效优化设计 学位论文
, 中国科学院大学自动化研究所: 中国科学院大学自动化研究所, 2019
Authors:  郭阳
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5g 通信  Polar 码  功能单元  寄存器文件  存储系统  
基于光照分析的人脸图像取证算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  张旭
Adobe PDF(5870Kb)  |  Favorite  |  View/Download:38/0  |  Submit date:2019/06/24
图像取证  光照分析  人脸图像  光照估计  透视投影  活体检测  
物体分类与检测中的小样本学习 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2019
Authors:  李岩
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物体分类  物体检测  小样本学习  零样本学习  混合监督检测  
DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization 会议论文
, Chengdu, China, 2019-5
Authors:  Yujia Zhang;  Michael Kampffmeyer;  Xiaoguang Zhao;  Min Tan
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Feature-Related Searching Control Model for Curve Detection 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 2, 页码: 580-591
Authors:  Zhang MY(张茗奕);  Xilong Liu;  De Xu;  Zhiqiang Cao
View  |  Adobe PDF(1984Kb)  |  Favorite  |  View/Download:23/5  |  Submit date:2019/05/08
Curve Detection  Feature Description  Prediction  Searching  Searching Control Mode  Updating  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2019, 卷号: 20, 期号: 8, 页码: 3049 - 3058
Authors:  Y. Chen;  Y. Lv;  Wang X(王晓);  L. Li;  Fei-Yue Wang
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Deep Learning, Social Transportation, Traffic Information Detection, Social Media, Text Mining.  
基于深度特征融合的图像分类方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2018
Authors:  李成华
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图像分类  深度卷积神经网络  特征融合  图像包网络  一致性融合  动态门控融合  
Joint Learning with Keyword Extraction for Event Detection in Social Media 会议论文
, Miami, FL, USA, 2018.11.8-2018.11.10
Authors:  Guandan Chen;  Wenji Mao;  Qingchao Kong;  Han Han
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Event Detection  Keyword Extraction  Deep Learning  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 期号: 0, 页码: 0
Authors:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
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Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Concept Learning through Deep Reinforcement Learning with Memory-Augmented Neural Networks 期刊论文
NEURAL NETWORKS, 2018, 期号: 1, 页码: 1-27
Authors:  Shi, Jing;  Xu, Jiaming;  Yao, Yiqun;  Xu, Bo
View  |  Adobe PDF(533Kb)  |  Favorite  |  View/Download:78/13  |  Submit date:2018/10/30
One-shot Learning  Memory  Attention  Deep Reinforcement