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Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)

Author:
Saavedra, Jose M.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/BigData.Congress.2014.53
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1096184
Keyword(s): Big data,n Computational modeling,n Data mining,n Data models,n Databases,n Partitioning algorithms,n Program processors,n Big data analytics,n Big data models and algorithms,n Big data search and mining,n algorithms and programming techniques for Big data processing,n constraints,n frequent patterns,n uncertain data
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    Sketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)

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contributor authorSaavedra, Jose M.
date accessioned2020-03-12T22:50:07Z
date available2020-03-12T22:50:07Z
date issued2014
identifier other7025606.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1096184?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleSketch based image retrieval using a soft computation of the histogram of edge local orientations (S-HELO)
typeConference Paper
contenttypeMetadata Only
identifier padid8236656
subject keywordsBig data
subject keywordsn Computational modeling
subject keywordsn Data mining
subject keywordsn Data models
subject keywordsn Databases
subject keywordsn Partitioning algorithms
subject keywordsn Program processors
subject keywordsn Big data analytics
subject keywordsn Big data models and algorithms
subject keywordsn Big data search and mining
subject keywordsn algorithms and programming techniques for Big data processing
subject keywordsn constraints
subject keywordsn frequent patterns
subject keywordsn uncertain data
identifier doi10.1109/BigData.Congress.2014.53
journal titlemage Processing (ICIP), 2014 IEEE International Conference on
filesize305499
citations0
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