UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 3 Issue 10
October-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR1610015


Registration ID:
160459

Page Number

117-122

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Title

Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation

Abstract

Investigates a framework of search-based face annotation by mining weakly labeled facial images that are freely available on the World Wide Web (WWW). One challenging problem for search-based face annotation scheme is how to effectively perform annotation by exploiting the list of most similar facial images and their weak labels that are often noisy and incomplete. To tackle this problem, we propose an effective unsupervised label refinement (ULR) approach for refining the labels of web facial images using machine learning techniques. We formulate the learning problem as a convex optimization and develop effective optimization algorithms to solve the large-scale learning task efficiently. To further speed up the proposed scheme, we also propose a clustering-based approximation algorithm which can improve the scalability considerably. Investigate and implement a promising search based face annotation scheme by mining large amount of weakly labeled facial images freely available.

Key Words

Algorithms, Measurement, Performance, Reliability, Security, Standardization, Theory, Verification.

Cite This Article

"Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 10, page no.117-122, October-2016, Available :http://www.jetir.org/papers/JETIR1610015.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Mining Weakly Labeled Web Facial Images for Search-Based Face Annotation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 10, page no. pp117-122, October-2016, Available at : http://www.jetir.org/papers/JETIR1610015.pdf

Publication Details

Published Paper ID: JETIR1610015
Registration ID: 160459
Published In: Volume 3 | Issue 10 | Year October-2016
DOI (Digital Object Identifier):
Page No: 117-122
Country: --, --, -- .
Area: Engineering
ISSN Number: 2349-5162


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