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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 72

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Article Published : 1604

Total Authors : 4237

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Paper Title: SCALABLE IMAGE RETRIEVAL BY MULTILABEL DEEP HASHING
Authors Name: Sonal U Darade
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IJRTI_180988
Published Paper Id: IJRTI1909009
Published In: Volume 4 Issue 9, September-2019
DOI:
Abstract: In computer vision Hashing have more scope and it is used to generate a binary hash value. So, we used Deep Hashing to learn a compact binary code for single and multiple layers of projections. There are many different methods which is used for binary code generation. We used supervised and multilabel supervised learning method for binary code value.
Keywords: Scalable image search, fast similarity search, hashing, deep learning, multi-label learning.
Cite Article: "SCALABLE IMAGE RETRIEVAL BY MULTILABEL DEEP HASHING ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 9, page no.47 - 54, September-2019, Available :http://www.ijrti.org/papers/IJRTI1909009.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1909009
Registration ID:180988
Published In: Volume 4 Issue 9, September-2019
DOI (Digital Object Identifier):
Page No: 47 - 54
Country: Nashik, Maharashtra, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1909009
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1909009
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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