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Convergence Analysis of Graph Regularized Non-Negative Matrix Factorization

contributor authorShangming Yang
contributor authorZhang Yi
contributor authorMao Ye
contributor authorXiaofei He
date accessioned2020-03-12T18:24:20Z
date available2020-03-12T18:24:20Z
date issued2014
identifier issn1041-4347
identifier other6544182.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/957379?show=full
formatgeneral
languageEnglish
publisherIEEE
titleConvergence Analysis of Graph Regularized Non-Negative Matrix Factorization
typeJournal Paper
contenttypeMetadata Only
identifier padid7989624
subject keywordsLyapunov methods
subject keywordsconvergence
subject keywordsgraph theory
subject keywordslearning (artificial intelligence)
subject keywordsmatrix decomposition
subject keywordsset theory
subject keywordsEuclidian distance based algorithms
subject keywordsLyapunov indirect method
subject keywordsconvergence analysis
subject keywordsconvergence features
subject keywordsdata space geometrical structure
subject keywordsgraph regularized NMF learning algorithms
subject keywordsgraph regularized nonnegative matrix factorization
subject keywordsimage processing
subject keywordsinformation retrieval
subject keywordsinvariant sets
subject keywordspattern recognition
subject keywordsupdate rules
subject keywordsAlgorithm design and analysis
subject keywordsConvergence
subject keywordsEquations
subject keywordsMa
identifier doi10.1109/TKDE.2013.98
journal titleKnowledge and Data Engineering, IEEE Transactions on
journal volume26
journal issue9
filesize5870063
citations0


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