Synonyme wurden verwendet für: features
Suche ohne Synonyme: keywords:(learned convolutional neural networks features)

1–20 von 30 Ergebnissen
|

    Automated crater detection algorithms from a machine learning perspective in the convolutional neural network era

    DeLatte, D.M. / Crites, S.T. / Guttenberg, N. et al. | Elsevier | 2019
    Schlagwörter: Feature extraction , Convolutional neural networks

    A Deep Learning Approach for Robust Corridor Following

    Freier Zugriff
    Dorbala, Vishnu Sashank / Abdul Hafez, A. H. / Jawahar, C. V. | BASE | 2019
    Schlagwörter: Convolutional neural networks , Feature extraction

    Misfire detection of diesel engine based on convolutional neural networks

    Zhang, Pan / Gao, Wenzhi / Li, Yong et al. | SAGE Publications | 2021
    Schlagwörter: convolutional neural networks , feature learning

    Multi‐receptive field graph convolutional neural networks for pedestrian detection

    Freier Zugriff
    Shen, Chao / Zhao, Xiangmo / Fan, Xing et al. | Wiley | 2019
    Schlagwörter: multireceptive field graph convolutional neural networks , convolutional neural nets , learned convolutional neural networks features

    Multi-receptive field graph convolutional neural networks for pedestrian detection

    Freier Zugriff
    Shen, Chao / Zhao, Xiangmo / Fan, Xing et al. | IET | 2019
    Schlagwörter: convolutional neural nets , learned convolutional neural networks features , multireceptive field graph convolutional neural networks

    Multi‐scale classification network for road crack detection

    Freier Zugriff
    Feng, Hui / Xu, Guo‐sheng / Guo, Yanhui | Wiley | 2019
    Schlagwörter: feature maps , convolutional neural networks , feature extraction , feedforward neural nets

    Chinese vehicle license plate recognition using kernel‐based extreme learning machine with deep convolutional features

    Freier Zugriff
    Yang, Yun / Li, Donghai / Duan, Zongtao | Wiley | 2018
    Schlagwörter: deep convolutional features , feature extractor , convolutional neural networks , feature extraction , feedforward neural nets

    Chinese vehicle license plate recognition using kernel-based extreme learning machine with deep convolutional features

    Freier Zugriff
    Yang, Yun / Li, Donghai / Duan, Zongtao | IET | 2017
    Schlagwörter: feedforward neural nets , convolutional neural networks , deep convolutional features , feature extractor , feature extraction

    Multi-scale classification network for road crack detection

    Freier Zugriff
    Feng, Hui / Xu, Guo-sheng / Guo, Yanhui | IET | 2018
    Schlagwörter: feature maps , feedforward neural nets , convolutional neural networks , feature extraction

    Image Dehazing Network Based on Multi-scale Feature Extraction

    Feng, Ting / Zhang, Fuquan / Yu, Zhaochai et al. | Springer Verlag | 2021
    Schlagwörter: Convolutional neural networks , Multi-scale feature , Communications Engineering, Networks

    Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit

    Freier Zugriff
    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | IET | 2020
    Schlagwörter: convolutional neural nets , three-dimensional convolutional neural network , high-level spatiotemporal features , multigraph GCN networks , graph convolutional network , multigraph convolutional network

    Multi‐graph convolutional network for short‐term passenger flow forecasting in urban rail transit

    Freier Zugriff
    Zhang, Jinlei / Chen, Feng / Guo, Yinan et al. | Wiley | 2020
    Schlagwörter: multigraph GCN networks , multigraph convolutional network , high‐level spatiotemporal features , graph convolutional network , three‐dimensional convolutional neural network , convolutional neural nets

    Traffic Sign Recognition Using Kernel Extreme Learning Machines With Deep Perceptual Features

    Zeng, Yujun | Online Contents | 2017
    Schlagwörter: convolutional neural network , Feature extraction , Neural networks

    Multi-step traffic speed prediction model with auxiliary features on urban road networks and its understanding

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | IET | 2021
    Schlagwörter: convolutional neural nets , environmental features , category-type auxiliary features , urban road networks , temporal features , embedding graph convolutional long short-term memory network , graph convolutional network , spatial features , recurrent neural nets

    Multi‐step traffic speed prediction model with auxiliary features on urban road networks and its understanding

    Freier Zugriff
    Guo, Jinlong / Song, Chunyue / Zhang, Hao et al. | Wiley | 2020
    Schlagwörter: environmental features , category‐type auxiliary features , spatial features , recurrent neural nets , urban road networks , temporal features , graph convolutional network , convolutional neural nets , embedding graph convolutional long short‐term memory network

    Scale-aware limited deformable convolutional neural networks for traffic sign detection and classification

    Freier Zugriff
    Liu, Zhanwen / Shen, Chao / Fan, Xing et al. | IET | 2020
    Schlagwörter: neural nets , feature extraction , deformable convolutional neural networks , region-based deep convolutional neural network framework

    Vehicle Color Recognition With Spatial Pyramid Deep Learning

    Hu, Chuanping | Online Contents | 2015
    Schlagwörter: Feature extraction , convolutional neural network (CNN) , Neural networks

    Vehicle Type Classification Using a Semisupervised Convolutional Neural Network

    Zhen Dong | Online Contents | 2015
    Schlagwörter: feature learning , neural nets , Neural networks , semisupervised convolutional neural network , handcrafted visual feature learning , feature extraction , neural network

    Hybrid strategy for traffic light detection by combining classical and self-learning detectors

    Freier Zugriff
    Gao, Feng / Wang, Caimei | IET | 2020
    Schlagwörter: convolutional neural nets , learning features , self-learned detector , feature extraction , convolutional neural network

    Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification

    Bulan, Orhan | Online Contents | 2017
    Schlagwörter: convolutional neural networks , Feature extraction