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Face recognition breakthrough

Published: 01 August 2009 Publication History

Abstract

By using sparse representation and compressed sensing, researchers have been able to demonstrate significant improvements in accuracy over traditional face-recognition techniques.

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  • (2021)[Retracted] Optimum Feature Selection with Particle Swarm Optimization to Face Recognition System Using Gabor Wavelet Transform and Deep LearningBioMed Research International10.1155/2021/66215402021:1Online publication date: 10-Mar-2021
  • (2019)Automatic Face Recognition Based on Sparse Representation and Extended Transfer LearningIEEE Access10.1109/ACCESS.2018.28832887(2387-2395)Online publication date: 2019
  • (2019)Undersampled face recognition based on virtual samples and representation classificationNeural Computing and Applications10.1007/s00521-017-3204-431:7(2447-2453)Online publication date: 1-Jul-2019
  • Show More Cited By

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  1. Face recognition breakthrough

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    cover image Communications of the ACM
    Communications of the ACM  Volume 52, Issue 8
    A Blind Person's Interaction with Technology
    August 2009
    132 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/1536616
    Issue’s Table of Contents
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 August 2009
    Published in CACM Volume 52, Issue 8

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    Cited By

    View all
    • (2021)[Retracted] Optimum Feature Selection with Particle Swarm Optimization to Face Recognition System Using Gabor Wavelet Transform and Deep LearningBioMed Research International10.1155/2021/66215402021:1Online publication date: 10-Mar-2021
    • (2019)Automatic Face Recognition Based on Sparse Representation and Extended Transfer LearningIEEE Access10.1109/ACCESS.2018.28832887(2387-2395)Online publication date: 2019
    • (2019)Undersampled face recognition based on virtual samples and representation classificationNeural Computing and Applications10.1007/s00521-017-3204-431:7(2447-2453)Online publication date: 1-Jul-2019
    • (2019)Extension of Sample Dimension and Sparse Representation Based Classification of Low-Dimension DataGenetic and Evolutionary Computing10.1007/978-981-13-5841-8_66(633-640)Online publication date: 12-May-2019
    • (2018)Successful HIT Requires Inter-Team CommunicationJournal of Cases on Information Technology10.4018/jcit.201310010115:4(1-6)Online publication date: 19-Dec-2018
    • (2017)Differentiated representation and applications to face recognitionOptik10.1016/j.ijleo.2017.04.055140(216-222)Online publication date: Jul-2017
    • (2017)How can a sparse representation be made applicable for very low-dimensional data?Expert Systems with Applications: An International Journal10.1016/j.eswa.2017.01.03977:C(66-70)Online publication date: 1-Jul-2017
    • (2015)Combining L1-norm and L2-norm based sparse representations for face recognitionOptik10.1016/j.ijleo.2015.02.020126:7-8(719-724)Online publication date: Apr-2015
    • (2013)Empirical study of performance benefits of hardware assisted virtualizationProceedings of the 6th ACM India Computing Convention10.1145/2522548.2522598(1-8)Online publication date: 22-Aug-2013
    • (2013)Class-Nearest Neighbor Classifier for Face RecognitionProceedings of the 2013 International Conference on Computer Sciences and Applications10.1109/CSA.2013.82(325-328)Online publication date: 14-Dec-2013
    • Show More Cited By

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