• Register
  • Login

European Journal of Molecular & Clinical Medicine

  1. Home
  2. Investigation and development of machine Learning Challenges in Video Interviews

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Investigation and development of machine Learning Challenges in Video Interviews

    Authors

    • DILIP KUMAR SHARMA
    • ASHISH SHARMA

    Department of Computer Engineering and Application GLA UNIVERSITY, MATHURA

,

Document Type : Research Article

  • Article Information
  • Download
  • Export Citation
  • Statistics
  • Share

Abstract

This paper audits and talks about examination propels on "logical AI" in PC vision. We centre on a specific zone of the "Seeing People" (LAP) topical space: primary imitations and character investigation. Our point is to variety the computational knowledge and PC vision networks mindful of the significance of creating logical systems for PC helped dynamic applications, for example, robotizing enlistment. Decisions dependent on character attributes are being made routinely by human asset offices to assess the up-and-comers' ability of social inclusion and their capability of profession development. Be that as it may, deducing character attributes and, as a rule, the procedure by which we people structure a first impression of individuals, is profoundly emotional and might be one-sided. Past investigations have shown that knowledge machineries can figure out how to imitate human choices. In this paper, we go above and beyond and figure the issue of clarifying the choices of the models as methods for distinguishing what visual perspectives are significant, seeing how they identify with choices recommended, and potentially picking up knowledge into unfortunate negative inclinations. We structure another test on reasonableness of knowledge machineries for first impressions examination. We portray the setting, situation, assessment measurements and starter results of the opposition. Supposedly this is the first exertion regarding difficulties for logic in PC vision. Moreover, our test configuration involves a few other measurable and subjective components of oddity, including a "competition" setting, which joins rivalry and coordinated effort.

Keywords

  • Machine Learning
  • Computer Vision
  • AI
  • XML
  • PDF 394.2 K
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
    • Article View: 230
    • PDF Download: 283
European Journal of Molecular & Clinical Medicine
Volume 7, Issue 4
November 2020
Page 425-433
Files
  • XML
  • PDF 394.2 K
Share
Export Citation
  • RIS
  • EndNote
  • Mendeley
  • BibTeX
  • APA
  • MLA
  • HARVARD
  • VANCOUVER
Statistics
  • Article View: 230
  • PDF Download: 283

APA

SHARMA, D. K., & SHARMA, A. (2020). Investigation and development of machine Learning Challenges in Video Interviews. European Journal of Molecular & Clinical Medicine, 7(4), 425-433.

MLA

DILIP KUMAR SHARMA; ASHISH SHARMA. "Investigation and development of machine Learning Challenges in Video Interviews". European Journal of Molecular & Clinical Medicine, 7, 4, 2020, 425-433.

HARVARD

SHARMA, D. K., SHARMA, A. (2020). 'Investigation and development of machine Learning Challenges in Video Interviews', European Journal of Molecular & Clinical Medicine, 7(4), pp. 425-433.

VANCOUVER

SHARMA, D. K., SHARMA, A. Investigation and development of machine Learning Challenges in Video Interviews. European Journal of Molecular & Clinical Medicine, 2020; 7(4): 425-433.

  • Home
  • About Journal
  • Editorial Board
  • Submit Manuscript
  • Contact Us
  • Glossary
  • Sitemap

News

 

For Special Issue Proposal : editor.ejmcm21@gmail.com

Newsletter Subscription

Subscribe to the journal newsletter and receive the latest news and updates

© Journal Management System. Powered by ejournalplus