中国科学院计算技术研究所机构知识库

浏览/检索结果: 共5条，第1-5条

帮助

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序WOS被引频次升序WOS被引频次降序提交时间升序提交时间降序期刊影响因子升序期刊影响因子降序题名升序题名降序发表日期升序发表日期降序
	Generic Sensitivity: Generics-Guided Context Sensitivity for Pointer Analysis 期刊论文 IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2024, 卷号: 50, 期号: 5, 页码: 1144-1162 作者:  Li, Haofeng;  Tan, Tian;  Li, Yue;  Lu, Jie;  Meng, Haining;  Cao, Liqing;  Huang, Yongheng;  Li, Lian;  Gao, Lin;  Di, Peng;  Lin, Liang;  Cui, Chenxi 收藏  |  浏览/下载：2/0  |  提交时间：2024/12/06 Sensitivity  Receivers  Java  Resource management  Codes  Software  Benchmark testing  Pointer analysis  generic programming  context sensitivity
	Decoupled R-CNN: Sensitivity-Specific Detector for Higher Accurate Localization 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 9, 页码: 6324-6336 作者:  Wang, Dong;  Shang, Kun;  Wu, Huaming;  Wang, Ce 收藏  |  浏览/下载：30/0  |  提交时间：2022/12/07 Proposals  Detectors  Task analysis  Sensitivity  Object detection  Training  Feature extraction  Object detection  R-CNN  two-stage detection  decoupled sampling strategy  decoupled R-CNN
	EasiEdge: A Novel Global Deep Neural Networks Pruning Method for Efficient Edge Computing 期刊论文 IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 3, 页码: 1259-1271 作者:  Yu, Fang;  Cui, Li;  Wang, Pengcheng;  Han, Chuanqi;  Huang, Ruoran;  Huang, Xi 收藏  |  浏览/下载：41/0  |  提交时间：2021/12/01 Acceleration  Internet of Things  Computational modeling  Edge computing  Sensitivity analysis  Optimization  Convex functions  Deep neural networks (DNNs)  edge computing  filter pruning  model compression and acceleration
	A novel density peaks clustering with sensitivity of local density and density-adaptive metric 期刊论文 KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 59, 期号: 2, 页码: 285-309 作者:  Du, Mingjing;  Ding, Shifei;  Xue, Yu;  Shi, Zhongzhi 收藏  |  浏览/下载：85/0  |  提交时间：2019/08/16 Clustering analysis  Density peaks clustering  Sensitivity of local density  Density-adaptive distance
	Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference 期刊论文 IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 卷号: 8, 期号: 4, 页码: 810-821 作者:  He, Xin;  Lu, Wenyan;  Yan, Guihai;  Zhang, Xuan 收藏  |  浏览/下载：237/0  |  提交时间：2019/04/03 Approximate computing  neural network accelerator  hardware-oriented training  sensitivity analysis  energy efficient architecture  near threshold voltage  approximate multiplier