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Distinctive feature mining based on varying threshold based image extraction for single and multiple objects

contributor authorSandhar, R.K.
contributor authorPhonsa, G.
date accessioned2020-03-12T22:40:22Z
date available2020-03-12T22:40:22Z
date issued2014
identifier other7019363.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1090704?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDistinctive feature mining based on varying threshold based image extraction for single and multiple objects
typeConference Paper
contenttypeMetadata Only
identifier padid8229252
subject keywordsparticle swarm optimisation
subject keywordsn social sciences
subject keywordsn SL-PSO performance enhancement
subject keywordsn behavior learning
subject keywordsn benchmark problems
subject keywordsn demonstrator selection strategies
subject keywordsn imitator learning
subject keywordsn individual-asocial learning
subject keywordsn natural social learning phenomenon
subject keywordsn social animals
subject keywordsn social learning particle swarm optimizer
subject keywordsn sorted swarm
subject keywordsn Benchmark testing
subject keywordsn Gaussian distribution
subject keywordsn Indexes
subject keywordsn Learning systems
subject keywordsn Particle swarm optimization
subject keywordsn Sociology
subject keywordsn Statistics
identifier doi10.1109/CEC.2014.6900227
journal titledvanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on
filesize1666227
citations0


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