中国科学院计算技术研究所机构知识库

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发表日期：2021

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	Chinese Traffic Police Gesture Recognition Based on Graph Convolutional Network in Natural Scene 期刊论文 APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 24, 页码: 19 作者:  Liu, Kang;  Zheng, Ying;  Yang, Junyi;  Bao, Hong;  Zeng, Haoming 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 graph convolution network  attention mechanism  traffic police gesture recognition
	Weights of exact threshold functions 期刊论文 IZVESTIYA MATHEMATICS, 2021, 卷号: 85, 期号: 6, 页码: 1039-1059 作者:  Babai, L.;  Hansen, K. A.;  Podolskii, V. V.;  Sun, Xiaoming 收藏  |  浏览/下载：14/0  |  提交时间：2022/12/07 computational complexity  Boolean functions  threshold functions  polynomial threshold functions  anti-Hadamard matrices
	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15 作者:  Deng, Lei;  Wu, Yujie;  Hu, Yifan;  Liang, Ling;  Li, Guoqi;  Hu, Xing;  Ding, Yufei;  Li, Peng;  Xie, Yuan 收藏  |  浏览/下载：26/0  |  提交时间：2022/06/21 Neurons  Computational modeling  Quantization (signal)  Optimization  Encoding  Task analysis  Synapses  Activity regularization  alternating direction method of multiplier (ADMM)  connection pruning  spiking neural network (SNN) compression  weight quantization
	An Edge 3D CNN Accelerator for Low-Power Activity Recognition 期刊论文 IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, 2021, 卷号: 40, 期号: 5, 页码: 918-930 作者:  Wang, Ying;  Wang, Yongchen;  Shi, Cong;  Cheng, Long;  Li, Huawei;  Li, Xiaowei 收藏  |  浏览/下载：37/0  |  提交时间：2021/12/01 Three-dimensional displays  Two dimensional displays  Arrays  Feature extraction  System-on-chip  Redundancy  3D CNN  activity analysis  CNN accelerator  network-on-chip  video
	Quantum-classical algorithms for skewed linear systems with an optimized Hadamard test 期刊论文 PHYSICAL REVIEW A, 2021, 卷号: 103, 期号: 4, 页码: 18 作者:  Wu, Bujiao;  Ray, Maharshi;  Zhao, Liming;  Sun, Xiaoming;  Rebentrost, Patrick 收藏  |  浏览/下载：35/0  |  提交时间：2021/12/01
	DeepOmix: A scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis 期刊论文 COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 卷号: 19, 页码: 2719-2725 作者:  Zhao, Lianhe;  Dong, Qiongye;  Luo, Chunlong;  Wu, Yang;  Bu, Dechao;  Qi, Xiaoning;  Luo, Yufan;  Zhao, Yi 收藏  |  浏览/下载：43/0  |  提交时间：2021/12/01 Multi-omics  Deep learning  Survival analysis  Prognosis prediction  Interpretable model