中国科学院重庆绿色智能技术研究院机构知识库

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发表日期：2021

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	cuSCNN: A Secure and Batch-Processing Framework for Privacy-Preserving Convolutional Neural Network Prediction on GPU 期刊论文 FRONTIERS IN COMPUTATIONAL NEUROSCIENCE, 2021, 卷号: 15, 页码: 13 作者:  Bai, Yanan;  Liu, Quanliang;  Wu, Wenyuan;  Feng, Yong 收藏  |  浏览/下载：60/0  |  提交时间：2022/08/22 privacy-preserving  convolutional neural network  homomorphic encryption  GPU computation  deep learning  cloud computing
	Dual attention per-pixel filter network for spatially varying image deblurring 期刊论文 DIGITAL SIGNAL PROCESSING, 2021, 卷号: 113, 页码: 17 作者:  Zhang, Yanfang;  Li, Weihong;  Li, Zhenghao;  Ning, Taigong 收藏  |  浏览/下载：65/0  |  提交时间：2021/08/20 Spatially varying deblurring  Spatially adaptive convolution  Global contextual dependence  Dual attention  Self-attention
	Robust Visual Place Recognition in Changing Environments Using Improved DTW 期刊论文 INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS, 2021, 卷号: 30, 期号: 2, 页码: 25 作者:  Lu, Feng;  Chen, Baifan;  Guo, Zhaohong;  Zhou, Xiangdong 收藏  |  浏览/下载：67/0  |  提交时间：2021/05/17 Place recognition  loop closure detection  mobile robots  SLAM
	A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems 期刊论文 INFORMATION SCIENCES, 2021, 卷号: 550, 页码: 239-251 作者:  Wang, Guancheng;  Huang, Haoen;  Shi, Limei;  Wang, Chuhong;  Fu, Dongyang;  Jin, Long;  Xiao Xiuchun 收藏  |  浏览/下载：105/0  |  提交时间：2021/03/01 Time-varying Lyapunov equation  Newton-Raphson iteration  Noise suppressing  Robotic tracking problems
	Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Wang, Zhi;  Liu, Yu;  Luo, Xin;  Wang, Jianjun;  Gao, Chao;  Peng, Dezhong;  Chen, Wu 收藏  |  浏览/下载：52/0  |  提交时间：2022/08/22 Minimization  Convergence  Tensors  Optimization  Analytical models  Data models  Data analysis  Inexact proximal step  low-rank minimization  matrix completion  novel nonconvex regularizer  robust principal component analysis (RPCA)  tensor completion