中国科学院计算技术研究所机构知识库

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已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	CompSNN: A lightweight spiking neural network based on spatiotemporally compressive spike features 期刊论文 NEUROCOMPUTING, 2021, 卷号: 425, 页码: 96-106 作者:  Wang, Tengxiao;  Shi, Cong;  Zhou, Xichuan;  Lin, Yingcheng;  He, Junxian;  Gan, Ping;  Li, Ping;  Wang, Ying;  Liu, Liyuan;  Wu, Nanjian;  Luo, Gang 收藏  |  浏览/下载：39/0  |  提交时间：2021/12/01 Neuromorphic computing  Spiking neural networks  SNN  Compressive sensing  Object classification  Multi-spike encoding
	A High-Speed Low-Cost VLSI System Capable of On-Chip Online Learning for Dynamic Vision Sensor Data Classification 期刊论文 SENSORS, 2020, 卷号: 20, 期号: 17, 页码: 18 作者:  He, Wei;  Huang, Jinguo;  Wang, Tengxiao;  Lin, Yingcheng;  He, Junxian;  Zhou, Xichuan;  Li, Ping;  Wang, Ying;  Wu, Nanjian;  Shi, Cong 收藏  |  浏览/下载：55/0  |  提交时间：2020/12/10 address-event representation (AER)  Random Ferns  object classification  neuromorphic hardware  online learning  on-chip learning
	A review of the application of deep learning in medical image classification and segmentation 期刊论文 ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 11, 页码: 15 作者:  Cai, Lei;  Gao, Jingyang;  Zhao, Di 收藏  |  浏览/下载：47/0  |  提交时间：2020/12/10 Big medical data  deep learning  classification  segmentation  object detection
	Object Categorization Using Class-Specific Representations 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 9, 页码: 4528-4534 作者:  Zhang, Chunjie;  Cheng, Jian;  Li, Liang;  Li, Changsheng;  Tian, Qi 收藏  |  浏览/下载：51/0  |  提交时间：2019/12/10 Class-specific representation  image classification  object categorization  visual representation
	Implicit Negative Sub-Categorization and Sink Diversion for Object Detection 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 4, 页码: 1561-1574 作者:  Li, Yu;  Tang, Sheng;  Lin, Min;  Zhang, Yongdong;  Li, Jintao;  Yan, Shuicheng 收藏  |  浏览/下载：68/0  |  提交时间：2019/12/10 Object detection  convolutional neural network  faster R-CNN  classification loss  context information