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检索条件"机构=Computer Architecture and Languages Laboratory Institute of Computer Science"
738 条 记 录,以下是171-180 订阅
排序:
Robust Graph Learning for Multi-view Clustering
Robust Graph Learning for Multi-view Clustering
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第40届中国控制会议
作者: Yixuan Huang Qingjiang Xiao Shiqiang Du College of Mathematics and Computer Science Northwest Minzu University Key Laboratory of Chinas Ethnic Languages and Information Technology of Ministry of Education Chinese National Information Technology Research Institute Northwest Minzu University
The multi-view algorithm based on graph learning pays attention to the manifold structure of data and shows the good performance in clustering task. However, multi-view data usually contains noise, which reduces the r... 详细信息
来源: 评论
ZnG: Architecting GPU Multi-Processors with New Flash for Scalable Data Analysis
ZnG: Architecting GPU Multi-Processors with New Flash for Sc...
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Annual International Symposium on computer architecture, ISCA
作者: Jie Zhang Myoungsoo Jung Computer Architecture and Memory Systems Laboratory Korea Advanced Institute of Science and Technology (KAIST)
We propose ZnG, a new GPU-SSD integrated architecture, which can maximize the memory capacity in a GPU and address performance penalties imposed by an SSD. Specifically, ZnG replaces all GPU internal DRAMs with an ult...
来源: 评论
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
Power Efficient Video Super-Resolution on Mobile NPUs with...
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17th European Conference on computer Vision, ECCV 2022
作者: Ignatov, Andrey Timofte, Radu Chiang, Cheng-Ming Kuo, Hsien-Kai Xu, Yu-Syuan Lee, Man-Yu Lu, Allen Cheng, Chia-Ming Chen, Chih-Cheng Yong, Jia-Ying Shuai, Hong-Han Cheng, Wen-Huang Jia, Zhuang Xu, Tianyu Zhang, Yijian Bao, Long Sun, Heng Zhang, Diankai Gao, Si Liu, Shaoli Wu, Biao Zhang, Xiaofeng Zheng, Chengjian Lu, Kaidi Wang, Ning Sun, Xiao Wu, HaoDong Liu, Xuncheng Zhang, Weizhan Yan, Caixia Du, Haipeng Zheng, Qinghua Wang, Qi Chen, Wangdu Duan, Ran Sun, Mengdi Zhu, Dan Chen, Guannan Cho, Hojin Kim, Steve Yue, Shijie Li, Chenghua Zhuge, Zhengyang Chen, Wei Wang, Wenxu Zhou, Yufeng Cai, Xiaochen Cai, Hengxing Xu, Kele Liu, Li Cheng, Zehua Lian, Wenyi Lian, Wenjing Computer Vision Lab ETH Zurich Zürich Switzerland AI Witchlabs Zürich Switzerland University of Wuerzburg Würzburg Germany MediaTek Inc. Hsinchu Taiwan National Yang Ming Chiao Tung University Hsinchu Taiwan Video Algorithm Group Camera Department Xiaomi Inc. Beijing China Audio & Video Technology Platform Department ZTE Corporation Shenzhen China Beijing China School of Computer Science and Technology Xi’an Jiaotong University Xi’an China MIGU Video Co. Ltd. Beijing China BOE Technology Group Co. Ltd. Beijing China GenGenAI Seoul Korea Republic of North China University of Technology Beijing China Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China 4Paradigm Inc. Beijing China National University of Defense Technology Changsha China University of Oxford Oxford United Kingdom Uppsala University Uppsala Sweden Northeastern University Shenyang China
Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been proposed fo... 详细信息
来源: 评论
Training, testing and benchmarking medical AI models using Clinical AIBench
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BenchCouncil Transactions on Benchmarks, Standards and Evaluations 2022年 第1期2卷 100037-100037页
作者: Huang, Yunyou Miao, Xiuxia Zhang, Ruchang Ma, Li Liu, Wenjing Zhang, Fan Guan, Xianglong Liang, Xiaoshuang Lu, Xiangjiang Tang, Suqing Zhang, Zhifei Guangxi Key Lab of Multi-Source Information Mining & Security School of Computer Science and Engineering & School of Software Guangxi Normal University Guilin China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Guilin Medical University Guilin China Department of Physiology and Pathophysiology Capital Medical University Beijing China Faculty of Education Guangxi Normal University Guilin China International Open Benchmark Council Beijing China
AI technology has been used in many clinical research fields, but most AI technologies are difficult to land in real-world clinical settings. In most current clinical AI research settings, the diagnosis task is to ide... 详细信息
来源: 评论
Scalable and probabilistically complete planning for robotic spatial extrusion
arXiv
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arXiv 2020年
作者: Garrett, Caelan Reed Huang, Yijiang Lozano-Pérez, Tomás Mueller, Caitlin Tobin Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Department of Architecture Massachusetts Institute of Technology
There is increasing demand for automated systems that can fabricate 3D structures. Robotic spatial extrusion has become an attractive alternative to traditional layer-based 3D printing due to a manipulator's flexi... 详细信息
来源: 评论
CertainOdom: Uncertainty Weighted Multi-task Learning Model for LiDAR Odometry Estimation
CertainOdom: Uncertainty Weighted Multi-task Learning Model ...
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IEEE International Conference on Robotics and Biomimetics
作者: Leyuan Sun Guanqun Ding Yusuke Yoshiyasu Fumio Kanehiro Department of Intelligent and Mechanical Interaction Systems Graduate School of Science and Technology University of Tsukuba Tsukuba Ibaraki Japan CNRS-AIST Joint Robotics Laboratory (JRL) IRL National Institute of Advanced Industrial Science and Technology (AIST). Digital Architecture Research Center (DARC) National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Japan Computer Vision Research Team Artificial Intelligence Research Center (AIRC) National Institute of Advanced Industrial Science and Technology (AIST) Japan
As a basic and indispensable module, LiDAR odom-etry estimation is widely used in robotics. In recent years, learning-based modeling approaches for odometry estimation have been validated to be feasible. However, it i... 详细信息
来源: 评论
Multi-view Spectral Clustering Based on Low-rank Tensor Decomposition
Multi-view Spectral Clustering Based on Low-rank Tensor Deco...
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第33届中国控制与决策会议
作者: Qingjiang Xiao Shiqiang Du Yixuan Huang Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education Chinese National Information Technology Research InstituteNorthwest Minzu University College of Mathematics and Computer Science Northwest Minzu University
Recently,graph-based multi-view clustering has received widespread attention due to its simplicity and *** we all know,clustering results are highly dependent on data similarity *** the constructed similarity graph is... 详细信息
来源: 评论
A unified generative framework for various ner subtasks
arXiv
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arXiv 2021年
作者: Yan, Hang Gui, Tao Dai, Junqi Guo, Qipeng Zhang, Zheng Qiu, Xipeng Shanghai Key Laboratory of Intelligent Information Processing Fudan University School of Computer Science Fudan University Institute of Modern Languages and Linguistics Fudan University New York University Pazhou Lab Guangzhou China
Named Entity Recognition (NER) is the task of identifying spans that represent entities in sentences. Whether the entity spans are nested or discontinuous, the NER task can be categorized into the flat NER, nested NER...
来源: 评论
PRF: a process-RAM-feedback performance model to reveal bottlenecks and propose optimizations
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High Technology Letters 2020年 第3期26卷 285-298页
作者: Xie Zhen Tan Guangming Liu Weifeng Sun Ninghui Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190P.R.China University of Chinese Academy of Sciences Beijing 100190P.R.China College of Information Science and Engineering China University of PetroleumBeijing 102249P.R.China
Performance models provide insightful perspectives to predict performance and to propose optimization *** there has been much researches,pinpointing bottlenecks of various memory access patterns and reaching high accu... 详细信息
来源: 评论
A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements
A Multi-Player Potential Game Approach for Sensor Network Lo...
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IEEE Conference on Decision and Control
作者: Gehui Xu Guanpu Chen Baris Fidan Yiguang Hong Hongsheng Qi Thomas Parisini Karl H. Johansson Department of Electrical and Electronic Engineering Imperial College London London UK Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Department of Mechanical and Mechatronics Engineering University of Waterloo Waterloo ON Canada Department of Control Science and Engineering Tongji University shanghai China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China School of Mathematical Sciences University of Chinese Academy of Sciences Beijing China Department of Electronic Systems Aalborg University Denmark Department of Engineering and Architecture University of Trieste Italy
Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. We formulate a non-convex SNL problem ... 详细信息
来源: 评论