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    • Article
    Sélectionner

    Deep Convolutional Neural Networks [Lecture Notes]

    Gonzalez, Rafael C
    IEEE Signal Processing Magazine, November 2018, Vol.35(6), pp.79-87 [Revue évaluée par les pairs]
    IEEE Conference Publications, IEEE Journals & Magazines , IEEE Xplore, IEEE Journals & Magazines
    Disponible
    Plus…
    Titre: Deep Convolutional Neural Networks [Lecture Notes]
    Auteur: Gonzalez, Rafael C
    Sujet: Neural Networks ; Convolution Codes ; Feature Extraction ; Training ; Task Analysis ; Image Recognition ; Artificial Intelligence ; Engineering ; Physics
    Description: Neural networks are a subset of the field of artificial intelligence (AI). The predominant types of neural networks used for multidimensional signal processing are deep convolutional neural networks (CNNs). The term deep refers generically to networks having from a "few" to several dozen or more convolution layers, and deep learning refers to methodologies for training these systems to automatically learn their functional parameters using data representative of a specific problem domain of interest. CNNs are currently being used in a broad spectrum of application areas, all of which share the common objective of being able to automatically learn features from (typically massive) data bases and to generalize their responses to circumstances not encountered during the learning phase. Ultimately, the learned features can be used for tasks such as classifying the types of signals the CNN is expected to process. The purpose of this "Lecture Notes" article is twofold: 1) to introduce the fundamental architecture of CNNs and 2) to illustrate, via a computational example, how CNNs are trained and used in practice to solve a specific class of problems.
    Fait partie de: IEEE Signal Processing Magazine, November 2018, Vol.35(6), pp.79-87
    Identifiant: 1053-5888 (ISSN); 1558-0792 (E-ISSN); 10.1109/MSP.2018.2842646 (DOI)

    • Livre
    Sélectionner

    Syntactic pattern recognition : an introduction

    Gonzalez, Rafael C
    Thomason, Michael G
    London [etc.] : Addison-Wesley
    1978
    Recherche de la disponibilité
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    Titre: Syntactic pattern recognition : an introduction / Rafael C. Gonzalez, Michael G. Thomason
    Auteur: Gonzalez, Rafael C
    Contributeur: Thomason, Michael G
    Editeur: London [etc.] : Addison-Wesley
    Date: 1978
    Collation: XIX, 283 p. : fig. ; 24 cm
    Collection: Applied mathematics and computation ; vol. 14
    Advanced book program
    Documents dans cette collection: Advanced book program. Addison-Wesley - Applied mathematics and computation
    Sujet RERO: théorie des langages (informatique) - Reconnaissance des formes (informatique) - Langages formels
    Note: Bibliogr.: p. 271-278. Index
    Classification: DIUF 1.8.5
    Identifiant: 0201029316 (pbk) (ISBN); 0201029308 (hbk) (ISBN)
    No RERO: 0660351
    Permalien:
    http://data.rero.ch/01-0660351/html?view=FR_V1

    • Plusieurs versions

    Digital image processing

    Gonzalez, Rafael C, Woods, Richard E
    • Plusieurs versions

    Real-time gait event detection for normal subjects from lower trunk accelerations

    González, Rafael C, López, Antonio M, Rodriguez-Uría, Javier, Álvarez, Diego, Alvarez, Juan C
    Gait & Posture, 2010, Vol.31(3), pp.322-325 [Revue évaluée par les pairs]

    • Livre
    Sélectionner

    Pattern recognition principles

    Tou, Julius Tsu-lieh
    Gonzalez, Rafael C
    Reading Mass. [etc.] : Addison-Wesley
    1974
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    Titre: Pattern recognition principles / Julius T. Tou, Rafael C. Gonzalez
    Auteur: Tou, Julius Tsu-lieh
    Contributeur: Gonzalez, Rafael C
    Editeur: Reading Mass. [etc.] : Addison-Wesley
    Date: 1974
    Collation: XII, 377 p. : ill. ; 24 cm
    Collection: Applied Mathematics and Computation ; No. 7
    Advanced book program
    Documents dans cette collection: Applied mathematics and computation - Advanced book program. Addison-Wesley
    Classification: ams 62H
    DIUF 1.8.5
    Identifiant: 0201075865 (ISBN)
    No RERO: R237956960
    Permalien:
    http://data.rero.ch/01-R237956960/html?view=FR_V1

    • Livre
    Sélectionner

    Digital image processing using MATLAB

    Gonzalez, Rafael C
    Woods, Richard E, Eddins, Steven L
    Upper Saddle River, N.J. : Pearson Prentice Hall
    2004
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    Titre: Digital image processing using MATLAB / Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins
    Auteur: Gonzalez, Rafael C
    Contributeur: Woods, Richard E; Eddins, Steven L
    Editeur: Upper Saddle River, N.J. : Pearson Prentice Hall
    Date: 2004
    Collation: 609 p. : ill. ; 24 cm
    Sujet RERO: Traitement d'images - MATLAB (logiciel)
    Note: Bibliogr.: p. 594-596
    Classification: LC TA1637
    DIUF 1.8.4
    Identifiant: 0130085197 (ISBN); 9788131726952 (ISBN)
    No RERO: R003772240
    Permalien:
    http://data.rero.ch/01-R003772240/html?view=FR_V1

    • Plusieurs versions

    Slope estimation during normal walking using a shank-mounted inertial sensor

    López, Antonio M, Álvarez, Diego, González, Rafael C, Álvarez, Juan C
    Sensors (Basel, Switzerland), 2012, Vol.12(9), pp.11910-21 [Revue évaluée par les pairs]

    • Plusieurs versions

    Upper limb joint angle measurement in occupational health

    Álvarez, Diego, Alvarez, Juan C, González, Rafael C, López, Antonio M
    Computer Methods in Biomechanics and Biomedical Engineering, 25 January 2016, Vol.19(2), pp.159-170 [Revue évaluée par les pairs]

    • Plusieurs versions

    Multi-kernel deconvolution for contrast improvement in a full field imaging system with engineered PSFs using conical diffraction

    Enguita, Jose M, Álvarez, Ignacio, González, Rafael C, Cancelas, Jose A
    Optics and Lasers in Engineering, January 2018, Vol.100, pp.161-169 [Revue évaluée par les pairs]

    • Plusieurs versions

    Pedestrian navigation based on a waist-worn inertial sensor

    Alvarez, Juan Carlos, Alvarez, Diego, López, Antonio, González, Rafael C
    Sensors (Basel, Switzerland), 2012, Vol.12(8), pp.10536-49 [Revue évaluée par les pairs]