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检索条件"主题词=Image Processing and computer vision"
3334 条 记 录,以下是81-90 订阅
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Special issue on adaptive and learning agents 2020
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NEURAL COMPUTING & APPLICATIONS 2022年 第3期34卷 1649-1651页
作者: da Silva, Felipe Leno MacAlpine, Patrick Radulescu, Roxana Santos, Fernando P. Mannion, Patrick Lawrence Livermore Natl Lab San Francisco Bay Area Livermore CA 94550 USA Sony AI Austin TX USA Vrije Univ Brussel AI Lab Ixelles Belgium Univ Amsterdam Amsterdam Netherlands Natl Univ Ireland Galway Sch Comp Sci Galway Ireland
来源: 评论
Special issue on multi-modal information learning and analytics on big data
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NEURAL COMPUTING & APPLICATIONS 2022年 第5期34卷 3299-3300页
作者: Ma, Xiaomeng Sun, Yan Shenzhen Univ Coll Econ 3688 Nanhai Ave Shenzhen 518060 Peoples R China Shanghai Univ 99 Shangda Rd Shanghai 200444 Peoples R China
来源: 评论
Edge TMS: Optimized Real-Time Temperature Monitoring Systems Deployed on Edge AI Devices
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IEEE INTERNET OF THINGS JOURNAL 2024年 第2期11卷 2490-2506页
作者: Canilang, Henar Mike O. Caliwag, Angela C. Camacho, James Rigor C. Lim, Wansu Maier, Martin Kumoh Natl Inst Technol Dept Aeronaut Mech & Elect Convergence Engn Gumi 39177 South Korea Inst Natl Rech Sci Opt Zeitgeist Lab Montreal PQ Canada
The temperature monitoring system (TMS) aims to reduce the infection spread and outbreak of COVID-19 through early detection. Conventional and currently deployed TMS have high implementation cost and require a substan... 详细信息
来源: 评论
Feature-based detection of facial landmarks from neutral and expressive facial images
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2006年 第1期28卷 135-139页
作者: Gizatdinova, Y Surakka, V Tampere Univ Res Grp Emot Social & Comp Tampere Unit Comp Human Interact Dept Comp Sci FIN-33014 Tampere Finland Tampere Univ Hosp Dept Clin Neurophysiol FIN-33521 Tampere Finland
Feature-based method for detecting landmarks from facial images was designed. The method was based on extracting oriented edges and constructing edge maps at two resolution levels. Edge regions with characteristic edg... 详细信息
来源: 评论
Fast active appearance model search using canonical correlation analysis
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IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2006年 第10期28卷 1690-1694页
作者: Donner, Rene Reiter, Michael Langs, Georg Peloschek, Philipp Bischof, Horst Vienna Univ Technol Pattern Recognit & Image Proc Grp Inst Comp Aided Automat A-1040 Vienna Austria Graz Univ Technol Inst Comp Graph & Vis Comp Vis Grp A-8010 Graz Austria Med Univ Vienna Dept Radiol A-1090 Vienna Austria
A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency between texture residuals and model parameters during search. Experiments show that CCA... 详细信息
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Introduction to the Special Issue on Application-Specific Systems, Architectures and Processors
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JOURNAL OF SIGNAL processing SYSTEMS FOR SIGNAL image AND VIDEO TECHNOLOGY 2021年 第12期93卷 1363-1364页
作者: Hannig, Frank Koch, Dirk Friedrich Alexander Univ Erlangen Nurnberg FAU Dept Comp Sci Hardware Software Codesign Cauerstr 11 D-91058 Erlangen Germany Univ Manchester Sch Comp Sci Oxford Rd Manchester M14 9LP Lancs England
来源: 评论
Real-time intelligent image processing for the internet of things
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JOURNAL OF REAL-TIME image processing 2021年 第4期18卷 997-998页
作者: Chen, Mu-Yen Wu, Hsin-Te Natl Cheng Kung Univ Dept Engn Sci Tainan Taiwan Natl Ilan Univ Dept Comp Sci & Informat Engn Yilan Taiwan
Some of these so-called AIoT applications include intelligent image processing in smart factories to monitor machinery conditions and control raw material inventory, identifying abnormalities in medical images, and au... 详细信息
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Hyper-resolution: image detail reconstruction through parametric edges
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computerS & GRAPHICS-UK 2005年 第6期29卷 946-960页
作者: Yin, LJ Yourst, M SUNY Binghamton Dept Comp Sci Binghamton NY 13902 USA
Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching low-resolution target image details to their high-resolution counterparts from an image database. Central to the al... 详细信息
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Special issue on intelligent computing methodologies in machine learning for IoT applications
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NEURAL COMPUTING & APPLICATIONS 2021年 第14期33卷 8105-8106页
作者: Zhao, Jinghua Xuan, Junyu Univ Shanghai Sci & Technol Sch Business Shanghai 200093 Peoples R China Univ Technol Sydney Australia Artificial Intelligence Inst Fac Engn & Informat Technol 15 Broadway Sydney NSW 2007 Australia
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Special issue on cognitive-inspired computing and applications
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NEURAL COMPUTING & APPLICATIONS 2022年 第4期34卷 2501-2502页
作者: Ye, Jun Pang, Sulin Hainan Univ 58 Renmin Ave Haikou 570228 Hainan Peoples R China Jinan Univ 601 Huangpu West Ave Guangzhou Guangdong Peoples R China
来源: 评论