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检索条件"机构=Electrical and Computer Engineering Department Visual Computing Lab"
485 条 记 录,以下是81-90 订阅
排序:
RedLib: Nestable Reductions for Collections in Java
RedLib: Nestable Reductions for Collections in Java
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IEEE International Conference on High Performance computing and Communications
作者: Mostafa Mehrabi Xing Fan Nasser Giacaman Oliver Sinnen Department of Electrical and Computer Engineering The University of Auckland Parallel and Reconfigurable Computing Lab
A reduction is a parallel programming mechanism for combining two or more elements into one. Many parallel programming languages, tools and frameworks (e.g., OpenMP, MPI, etc.) directly support simple forms of reducti... 详细信息
来源: 评论
Graph based Tensor Recovery for Accurate Internet Anomaly Detection
Graph based Tensor Recovery for Accurate Internet Anomaly De...
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2018 IEEE Conference on computer Communications, INFOCOM 2018
作者: Xie, Kun Li, Xiaocan Wang, Xin Xie, Gaogang Wen, Jigang Zhang, Dafang College of Computer Science and Electronics Engineering Hunan University China CAS Key Lab of Network Data Science and Technology Institute of Computing Technology Chinese Academy of Sciences China Department of Electrical and Computer Engineering State University of New York at Stony Brook United States Institute of Computing Technology Chinese Academy of Sciences China
Detecting anomalous traffic is a crucial task of managing networks. Many anomaly detection algorithms have been proposed recently. However, constrained by their matrix-based traffic data model, existing algorithms oft... 详细信息
来源: 评论
Alzheimer’s Disease and Frontotemporal Dementia: Differential Diagnosis Using Electroencephalogram Signal  1
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13th National Technical Symposium on Unmanned System Technology, NUSYS 2023
作者: Rostamikia, Mehran Sarbaz, Yashar Farzamnia, Ali Biomedical System Modeling Lab Biomedical Engineering Department Electrical and Computer Engineering Faculty University of Tabriz Tabriz Iran Faculty of Engineering Universiti Malaysia Sabah Sabah Kota Kinabalu Malaysia School of Computing and Engineering University of Huddersfield Huddersfield United Kingdom
Dementia is a neurological disorder that affects a person’s cognitive and social skills, leading to a decline in their overall mental functioning. Frontotemporal dementia (FTD) and Alzheimer’s disease (AD) are two c... 详细信息
来源: 评论
Self-supervised Semantic-driven Phoneme Discovery for Zero-resource Speech Recognition  60
Self-supervised Semantic-driven Phoneme Discovery for Zero-r...
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60th Annual Meeting of the Association for Computational Linguistics, ACL 2022
作者: Wang, Liming Feng, Siyuan Hasegawa-Johnson, Mark Yoo, Chang D. Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign United States Multimedia Computing Group Delft University of Technology Netherlands Artificial Intelligence and Machine Learning Lab KAIST Korea Republic of
Phonemes are defined by their relationship to words: changing a phoneme changes the word. Learning a phoneme inventory with little supervision has been a longstanding challenge with important applications to under-res... 详细信息
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Microwave spectral analysis using optical spectral holeburning
Microwave spectral analysis using optical spectral holeburni...
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2004 IEEE International Topical Meeting on Microwave Photonics - Technical Digest, MWP'04
作者: Mohan, R. Krishna Cole, Zachary Reibel, Randy R. Chang, Tiejun Merkel, Kristian D. Babbitt, Wm. Randall Colice, Max Schlottau, Friso Wagner, Kelvin H. Spectrum Lab. Montana State University Bozeman MT 59717-3510 Optoelectronic Computing Systems Center Department of Electrical and Computer Engineering University of Colorado at Boulder Boulder CO 80309-0425
A microwave spectrum analyzer capable of capturing multi-GHz spectra with sub-MHz resolution and unity probability of intercept based on optical spectral holebuming materials is proposed and initial demonstrations pre... 详细信息
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Segmentation as postprocessing for hyperspectral image classification
Segmentation as postprocessing for hyperspectral image class...
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IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
作者: Jimenez, L.I. Ayma, V.A. Achanccaray, P. Costa, G.A.O.P. Feitosa, R.Q. Plaza, A. Hyperspectral Computing Laboratory Department of Technology of Computers and Communications University of Extremadura Caceres Spain Computer Vision Lab Department of Electrical Engineering Catholic University of Rio de Janeiro Rio de Janeiro Brazil Department of Computer Engineering Rio de Janeiro State University Rio de Janeiro Brazil
Hyperspectral imaging is a new technique in remote sensing that collects hundreds of images at differents wavelength values for the same area of the Earth. For instance the Airborne Visible Infra-Red Imaging Spectrome... 详细信息
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Facilitating temporal synchronous target selection through user behavior modeling
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Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2019年 第4期3卷 1-24页
作者: Zhang, Tengxiang Yi, Xin Wang, Ruolin Gao, Jiayuan Wang, Yuntao Yu, Chun Li, Simin Shi, Yuanchun Tsinghua University Institute of Computing Technology Chinese Academy of Sciences Kexueyuan South Road Beijing100084 China Key Laboratory of Pervasive Computing Ministry of Education Beijing Key Lab of Networked Multimedia Beijing National Research Center for Information Science and Technology Department of Computer Science and Technology Tsinghua University China Tsinghua University China Global Innovation eXchange Institute Key Laboratory of Pervasive Computing Ministry of Education Beijing Key Lab of Networked Multimedia Department of Computer Science and Technology Tsinghua University Shuangqing Road Beijing100081 China Department of Electrical and Computing Engineering Beihang University Beijing100081 China Tsinghua University Shuangqing Road Beijing100081 China UCLA United States
Temporal synchronous target selection is an association-free selection technique: users select a target by generating signals (e.g., finger taps and hand claps) in sync with its unique temporal pattern. However, class... 详细信息
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Principal Component Pursuit with reduced linear measurements
Principal Component Pursuit with reduced linear measurements
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IEEE International Symposium on Information Theory
作者: Arvind Ganesh Kerui Min John Wright Yi Ma Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA Department of Electrical Engineering Columbia University USA Visual Computing Group Microsoft Research Asia China
In this paper, we study the problem of decomposing a superposition of a low-rank matrix and a sparse matrix when a relatively few linear measurements are available. This problem arises in many data processing tasks su... 详细信息
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Quality of Service (QoS)-Driven Edge computing and Smart Hospitals: A Vision, Architectural Elements, and Future Directions  1
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NIELIT's International Conference on Communication, Electronics and Digital Technology, NICE-DT 2023
作者: Buyya, Rajkumar Srirama, Satish N. Mahmud, Redowan Goudarzi, Mohammad Ismail, Leila Kostakos, Vassilis Lab School of Computing and Information Systems The University of Melbourne Melbourne Australia School of Computer and Information Sciences The University of Hyderabad Hyderabad India School of Electrical Engineering Computing and Mathematical Sciences Curtin University Perth Australia Lab Department of Computer Science and Software Engineering National Water and Energy Center United Arab Emirates University Abu Dhabi United Arab Emirates
The Internet of Things (IoT) paradigm is drastically changing our world by making everyday objects an integral part of the Internet. This transformation is increasingly being adopted in the healthcare sector, where Sm... 详细信息
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Compressive principal component pursuit
Compressive principal component pursuit
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IEEE International Symposium on Information Theory
作者: John Wright Arvind Ganesh Kerui Min Yi Ma Department of Electrical Engineering Columbia University USA Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign USA Visual Computing Group Microsoft Research Asia China
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in compressed sensing of structured high-di... 详细信息
来源: 评论