Support vector machine based feature extraction for gender recognition from objects using lasso classifier

Support vector machine based feature extraction for gender recognition from objects using lasso classifier

Abstract Object detection and gender recognition were two different categories to be classified in a single section is a complicated task and this approach helps in supporting the blind people for an artificial vision. In this paper, our method to the betters vision sensation of blind persons by con...

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Bibliographic Details
Main Authors: Damodara Krishna Kishore Galla, Babu Reddy Mukamalla, Rama Prakasha Reddy Chegireddy
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Journal of Big Data
Subjects:
Support vector machine
Ridge regression
Eleastinet
Logistic regression
LRGS
Gender classification
Online Access:http://link.springer.com/article/10.1186/s40537-020-00371-0

Internet

http://link.springer.com/article/10.1186/s40537-020-00371-0

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