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检索条件"主题词=Convolutional Auto-Encoder"
81 条 记 录,以下是61-70 订阅
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Two-streams Fully convolutional Networks for Abnormal Event Detection in Videos  12
Two-streams Fully Convolutional Networks for Abnormal Event ...
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12th International Conference on Agents and Artificial Intelligence (ICAART)
作者: Hamdi, Slim Bouindour, Samir Loukil, Kais Snoussi, Hichem Abid, Mohamed LM2S Univ Technol Troyes 12 Rue Marie CurieCS 42060 F-10004 Troyes France Univ Sfax ENIS Natl Engn Sch CES Lab BP 3038 Sfax Tunisia
In the context of abnormal event detection in videos, only the normal events are available for the learning process, therefore the implementation of unsupervised learning method becomes paramount. We propose to use a ... 详细信息
来源: 评论
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening
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JOURNAL OF INTELLIGENT MANUFACTURING 2020年 第4期31卷 833-845页
作者: Liu, Chengbao Tan, Jie Wang, Xuelei Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China
Because the data generated in the complex industrial manufacturing processes is multi-sourced and heterogeneous, it brings a challenge for addressing decision-making optimization problems embedded in the whole manufac... 详细信息
来源: 评论
automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization
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MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING 2020年 第2期58卷 291-306页
作者: Souadih, Kamal Belaid, Ahror Ben Salem, Douraied Conze, Pierre-Henri Univ Abderrahmane Mira Med Comp Lab LIMED Bejaia 06000 Bejaia Algeria Lab Med Informat Proc LaTIM UMR 1101 Inserm 22 Ave Camille Desmoulins F-29238 Brest France CHRU Cavale Blanche Neuroradiol Dept Blvd Tanguy Prigent UBO F-29609 Brest France IMT Atlantique Technopole Brest Iroise F-29238 Brest France
Recent clinical research studies in forensic identification have highlighted the interest in sphenoid sinus anatomical characterization. Their pneumatization, well known as extremely variable in degrees and directions... 详细信息
来源: 评论
Classification of electromyographic hand gesture signals using machine learning techniques
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NEUROCOMPUTING 2020年 401卷 236-248页
作者: Jia, Guangyu Lam, Hak-Keung Liao, Junkai Wang, Rong Kings Coll London Dept Engn London WC2R 2LS England
The electromyogram (EMG) signals from an individual's muscles can reflect the biomechanics of human movement. The accurate classification of individual and combined finger movements using surface EMG signals is ab... 详细信息
来源: 评论
Target Classification Using convolutional Deep Learning and auto-encoder Models  4
Target Classification Using Convolutional Deep Learning and ...
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4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
作者: Zaied, Sarra Toumi, Abdelmalek Khenchaf, Ali ENSTA Bretagne Lab STICC UMR CNRS 6285 2 Rue Francois Verny F-29806 Brest 9 France
Targets recognition in radar images presents an essential task for monitoring and surveillance of sensitive areas such as military zones. The fundamental problem in radar imaging is related to the recognition of objec... 详细信息
来源: 评论
A Fuzzy Support Vector Machine-Enhanced convolutional Neural Network for Recognition of Glass Defects
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INTERNATIONAL JOURNAL OF FUZZY SYSTEMS 2019年 第6期21卷 1870-1881页
作者: Jin, Yong Zhang, Dandan Li, Maozhen Wang, Zhaoba Chen, Youxing North Univ China Sch Informat & Commun Engn Taiyuan 030051 Shanxi Peoples R China Brunel Univ London Dept Elect & Comp Engn Uxbridge UB8 3PH Middx England
The existence of glass defects seriously affects the quality of glass products. Traditional glass defect recognition methods based on convolutional neural networks (CNNs) suffer from a long training time and low recog... 详细信息
来源: 评论
Intelligent Emotion Detection Method in Mobile Edge Computing Networks
Intelligent Emotion Detection Method in Mobile Edge Computin...
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IEEE/CIC International Conference on Communications in China (ICCC)
作者: Li, Zhidu Lv, Ji Wu, Dapeng Chongqing Univ Posts & Telecommun Sch Commun & Informat Engn Chongqing Peoples R China Key Lab Opt Commun & Networks Chongqing Chongqing Peoples R China Key Lab Ubiquitous Sensing & Networking Chongqing Chongqing Peoples R China
How to detect emotions of different people in time is significant in various areas, such as healthcare, VR/AR and etc. In this paper, an intelligent emotion detection method is proposed to transmit individual emotion ... 详细信息
来源: 评论
Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent  20
Simplifying Reinforced Feature Selection via Restructured Ch...
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20th IEEE International Conference on Data Mining (ICDM)
作者: Zhao, Xiaosa Liu, Kunpeng Fan, Wei Jiang, Lu Zhao, Xiaowei Yin, Minghao Fu, Yanjie Northeast Normal Univ Changchun Peoples R China Univ Cent Florida Dept Comp Sci Orlando FL 32816 USA
Feature selection aims to select a subset of features to optimize the performances of downstream predictive tasks. Recently, multi-agent reinforced feature selection (MARFS) has been introduced to automate feature sel... 详细信息
来源: 评论
Deep semantic preserving hashing for large scale image retrieval
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MULTIMEDIA TOOLS AND APPLICATIONS 2019年 第17期78卷 23831-23846页
作者: Zareapoor, Masoumeh Yang, Jie Jain, Deepak Kumar Shamsolmoali, Pourya Jain, Neha Kant, Surya Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai 200240 Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Jaypee Univ Engn & Technol Guna India India Inst Technol Roorkee Uttar Pradesh India
Hashing approaches have got a great attention because of its efficient performance for large-scale images. This paper, aims to propose a deep hashing method which can combines stacked convolutional autoencoder with ha... 详细信息
来源: 评论
M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation
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PATTERN RECOGNITION 2019年 91卷 366-378页
作者: Wei, Jie Xia, Yong Zhang, Yanning Northwestern Polytech Univ Natl Engn Lab Integrated Aerospace Ground Ocean B Sch Comp Sci & Engn Xian 710072 Shaanxi Peoples R China Northwestern Polytech Univ Sch Comp Sci & Engn CMCC Xian 710072 Shaanxi Peoples R China
Segmentation of the brain into gray matter, white matter, and cerebrospinal fluid (CSF) using magnetic resonance (MR) imaging plays a fundamental role in neuroimaging research and clinical settings. Due to the complex... 详细信息
来源: 评论