咨询与建议

限定检索结果

文献类型

  • 562 篇 会议
  • 208 篇 期刊文献
  • 15 篇 学位论文
  • 5 册 图书

馆藏范围

  • 790 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 509 篇 工学
    • 393 篇 计算机科学与技术...
    • 211 篇 软件工程
    • 104 篇 电气工程
    • 55 篇 信息与通信工程
    • 48 篇 光学工程
    • 34 篇 电子科学与技术(可...
    • 34 篇 控制科学与工程
    • 29 篇 生物医学工程(可授...
    • 22 篇 仪器科学与技术
    • 21 篇 机械工程
    • 21 篇 测绘科学与技术
    • 19 篇 生物工程
    • 11 篇 环境科学与工程(可...
    • 7 篇 土木工程
    • 7 篇 化学工程与技术
    • 6 篇 材料科学与工程(可...
  • 188 篇 理学
    • 88 篇 物理学
    • 72 篇 数学
    • 30 篇 生物学
    • 14 篇 地球物理学
    • 12 篇 统计学(可授理学、...
    • 10 篇 化学
    • 8 篇 天文学
    • 7 篇 系统科学
  • 56 篇 医学
    • 42 篇 临床医学
    • 18 篇 基础医学(可授医学...
    • 6 篇 特种医学
  • 46 篇 管理学
    • 38 篇 管理科学与工程(可...
    • 9 篇 工商管理
    • 8 篇 图书情报与档案管...
  • 5 篇 农学
  • 2 篇 经济学
  • 2 篇 艺术学
  • 1 篇 法学
  • 1 篇 教育学
  • 1 篇 文学

主题

  • 103 篇 image processing
  • 66 篇 parallel process...
  • 42 篇 feature extracti...
  • 38 篇 image segmentati...
  • 32 篇 image reconstruc...
  • 31 篇 image edge detec...
  • 29 篇 deep learning
  • 29 篇 distributed comp...
  • 29 篇 computer vision
  • 27 篇 training
  • 25 篇 computer archite...
  • 25 篇 computational mo...
  • 22 篇 concurrent compu...
  • 21 篇 accuracy
  • 20 篇 image analysis
  • 19 篇 image color anal...
  • 18 篇 visualization
  • 17 篇 neural networks
  • 17 篇 graphics process...
  • 16 篇 graphics process...

机构

  • 7 篇 national laborat...
  • 5 篇 natl univ def te...
  • 5 篇 nanjing univ sci...
  • 5 篇 natl univ def te...
  • 4 篇 college of compu...
  • 3 篇 school of comput...
  • 3 篇 natl univ def te...
  • 3 篇 univ chinese aca...
  • 3 篇 hong kong polyte...
  • 3 篇 department of co...
  • 3 篇 school of cyber ...
  • 3 篇 university of fl...
  • 3 篇 natl univ def te...
  • 3 篇 sensetime res pe...
  • 3 篇 harbin inst tech...
  • 2 篇 nanjing audit un...
  • 2 篇 college of compu...
  • 2 篇 school of comput...
  • 2 篇 school of comput...
  • 2 篇 univ sydney sch ...

作者

  • 12 篇 dou yong
  • 9 篇 qiao peng
  • 8 篇 zhigang luo
  • 8 篇 naiyang guan
  • 7 篇 xu kele
  • 6 篇 yong dou
  • 5 篇 xiang zhang
  • 5 篇 shi hc
  • 5 篇 zhang yi
  • 5 篇 dacheng tao
  • 5 篇 li hz
  • 4 篇 luo zhigang
  • 4 篇 camps-valls gust...
  • 4 篇 peng qiao
  • 4 篇 li bo
  • 4 篇 yang jian
  • 4 篇 zhang xiang
  • 4 篇 wang huaimin
  • 4 篇 ujaldon manuel
  • 4 篇 zhang shanshan

语言

  • 746 篇 英文
  • 33 篇 中文
  • 10 篇 其他
  • 1 篇 俄文
检索条件"任意字段=Parallel and Distributed Methods for Image Processing"
790 条 记 录,以下是101-110 订阅
排序:
Exploration on Facial image Recognition and processing Algorithms under Hadoop
Exploration on Facial Image Recognition and Processing Algor...
收藏 引用
Integrated Intelligence and Communication Systems (ICIICS), International Conference on
作者: Meifang Gu Hailin Tang Lili Li Institutional Research Center Guangdong Baiyun University Guangzhou Guangdong China Faculty of Intelligent Manufacturing Engineering Guangdong Baiyun University Guangzhou Guangdong China Faculty of Megadata and Computing Guangdong Baiyun University Guangzhou Guangdong China
Face recognition is an important technology in the field of digital image processing, which has a crucial impact on subsequent work. This article introduced an example of facial recognition based on the combination of...
来源: 评论
Accelerating Hyperspectral Anomaly Detection With Enhanced Multivariate Gaussianization Based on FPGA
收藏 引用
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2024年 62卷 1页
作者: Yu, Kun Wu, Zebin Sun, Jin Zhang, Yi Xu, Yang Wei, Zhihui Zheng, Shangdong Nanjing Univ Sci & Technol Sch Comp Sci & Engn Nanjing 210094 Peoples R China Nanjing Univ Posts & Telecommun Sch Comp Sci Nanjing 210023 Peoples R China
Hyperspectral anomaly detection (AD), as a frontier research topic in the field of remotely sensed data processing, aims to identify targets of interest from complex and vast images. Existing AD methods typically invo... 详细信息
来源: 评论
RGBT Tracking via Multi-Adapter Network with Hierarchical Divergence Loss
收藏 引用
IEEE TRANSACTIONS ON image processing 2021年 30卷 5613-5625页
作者: Lu, Andong Li, Chenglong Yan, Yuqing Tang, Jin Luo, Bin Anhui Univ Sch Artificial Intelligence Informat Mat & Intelligent Sensing Lab Anhui Prov Anhui Prov Key Lab Multimodal Cognit Computat Hefei 230601 Peoples R China
RGBT tracking has attracted increasing attention since RGB and thermal infrared data have strong complementary advantages, which could make trackers all-day and all-weather work. Existing works usually focus on extrac... 详细信息
来源: 评论
parallel vs distributed Edge Detection for Large Medical image Datasets
Parallel vs Distributed Edge Detection for Large Medical Ima...
收藏 引用
E-Health and Bioengineering Conference (EHB)
作者: Renato Constantin Ivanescu Rodica Nagy Anca Istrate Ofiteru Cristina Comanescu Alexandru Manda Department of Computers and Information Technology University of Craiova Craiova Romania University of Medicine and Pharmacy of Craiova University of Craiova Craiova Romania
The medical routine of the future is strongly influenced by medical information technology. The quality and efficiency of medicine are at higher standards due to the image-based methods and the increase in computation... 详细信息
来源: 评论
Jigsaw: A Slice-and-Dice Approach to Non-uniform FFT Acceleration for MRI image Reconstruction  35
Jigsaw: A Slice-and-Dice Approach to Non-uniform FFT Acceler...
收藏 引用
35th IEEE International parallel and distributed processing Symposium (IPDPS)
作者: West, Brendan L. Fessler, Jeffrey A. Wenisch, Thomas F. Univ Michigan Ann Arbor MI 48109 USA
The Fast Fourier Transform (FFT) is a fundamental algorithm in signal processing;significant efforts have been made to improve its performance using software optimizations and specialized hardware accelerators. Comput... 详细信息
来源: 评论
SDCRKL-GP: Scalable deep convolutional random kernel learning in gaussian process for image recognition
收藏 引用
NEUROCOMPUTING 2021年 456卷 288-298页
作者: Wang, Tingting Xu, Lei Li, Junbao Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Heilongjiang Peoples R China
Deep convolutional neural networks have shown great potential in image recognition tasks. However, the fact that the mechanism of deep learning is difficult to explain hinders its development. It involves a large amou... 详细信息
来源: 评论
Initial Results on the Effectiveness of distributed Edge Detection for Large image Data Sets
Initial Results on the Effectiveness of Distributed Edge Det...
收藏 引用
IEEE Southeastcon
作者: Ivanescu Constantin Renato Mocanu Mihai University of Craiova Craiova Romania
image data is expanding rapidly, along with technology development, so efficient solutions must be considered to achieve high, real-time performance in the case of processing large image datasets. parallel processing ... 详细信息
来源: 评论
distributed Deep Learning-based Model for Large image Data Classification  23
Distributed Deep Learning-based Model for Large Image Data C...
收藏 引用
Proceedings of the 7th International Conference on Future Networks and distributed Systems
作者: M Faisal Nurnoby Khalid A. Abu Shawarib Ayaz Ul Hassan Khan SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum and Minerals Saudi Arabia
Artificial intelligence has shown great potential in a variety of applications, from natural language models to audio visual recognition, classification, and manipulation. AI Researchers have to work with massive amou... 详细信息
来源: 评论
Generic parallel data structures and algorithms to GPU superpixel image segmentation
收藏 引用
DISPLAYS 2022年 74卷
作者: Mansouri, Abdelkhalek Creput, Jean-Charles Qiao, Wen-Bao Univ Bourgogne Franche Comte UTBM CIAD UMR 7533 F-90010 Belfort France Beijing Informat Sci & Technol Univ Comp Sch Beijing 100101 Peoples R China
We propose parallel implementation on GPU (graphics processing unit) system for some generic algorithms applied to superpixel image segmentation problem. The aim is to provide standard algorithms based on generic dece... 详细信息
来源: 评论
Single Node Acceleration of Generative Adversarial Networks using HPC for image Analytics  5
Single Node Acceleration of Generative Adversarial Networks ...
收藏 引用
5th International Conference on Computational Intelligence and Intelligent Systems, CIIS 2022
作者: Ravikumar, Aswathy Sriraman, Harini School of Computer Science and Engineering Vellore Institute of Technology Chennai600127 India
Generative Adversarial Networks (GAN) are approaches that are utilized for data augmentation, which facilitates the development of more accurate detection models for unusual or unbalanced datasets. Computer-assisted d... 详细信息
来源: 评论