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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      Volume 37 Issue 4, 2022   
    Article

    SELF-REPRODUCING MACHINE LEARNING TECHNIQUE FOR GENDER RECOGNITION OPTIMIZING THE ACCURACY
    Pawan Agarwal, Kishore Mishra
    Journal of Data Acquisition and Processing, 2022, 37 (4): 1091-1097 . 

    Abstract

    This work investigates the issue of step based direction portrayal in unconstrained circumstances. Not equivalent to existing human advance examination and affirmation techniques which acknowledge that individuals walk around controlled circumstances, it is mean to see human direction from uncontrolled steps in which people can walk wholeheartedly and the walking heading of human steps may be time-fluctuating in a singular video cut. Given each step course of action accumulated in an uncontrolled manner, it is first secure human blueprints using establishment substraction and pack them into a couple of social affairs. For each social occasion, it is handling the showed up at the midpoint of step picture (AGI) as components.

    Keyword

    Human Identity, Gender Recognition, Affinity Propagation, Accuracy, Iteration, Cluster.


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ISSN 1004-9037

         

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