Deep learning is presently an effective research area in machine learning technique and pattern classification association. This has achieved big success in the areas of application namely computer vision, speech recognition, and NLP. This paper gives the impact of feature extraction that used in a deep learning technique such as Convolutional Neural Network (CNN). The purpose of this paper presents an emerged survey of actual literatures on feature extraction methods since past five years. As the raising of application demand increases, a large study and analysis in the feature extraction field became very efficient. In this paper, we presented a detailed study on deep learning, and a described some of existing methodology of feature extraction.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Feature Extraction By Using Deep Learning: A Survey


    Beteiligte:
    Dara, Suresh (Autor:in) / Tumma, Priyanka (Autor:in)


    Erscheinungsdatum :

    01.03.2018


    Format / Umfang :

    2160642 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Essential feature extraction of driving behavior using a deep learning method

    Liu, HaiLong / Taniguchi, Tadahiro / Tanaka, Yusuke et al. | IEEE | 2015


    Essential Feature Extraction of Driving Behavior Using a Deep Learning Method

    Liu, HaiLong / Taniguchi, Tadahiro / Tanaka, Yusuke et al. | British Library Conference Proceedings | 2015




    Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning

    Liu, HaiLong / Taniguchi, Tadahiro / Tanaka, Yusuke et al. | IEEE | 2017

    Freier Zugriff