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A graph-based active learning method for classification of remote sensing images

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Publication:4571048
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DOI10.1142/S0219691318500236zbMath1390.94050OpenAlexW2781229609MaRDI QIDQ4571048

Lianzhi Huo, Ping Tang

Publication date: 6 July 2018

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691318500236


zbMATH Keywords

graph theoryimage classificationactive learningdensest \(k\)-subgraph \((\mathrm Dk\mathrm S)\) maximizationmargin sampling


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Image analysis in multivariate analysis (62H35) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)





Cites Work

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  • 10.1162/153244302760185243
  • A graph‐theoretic definition of a sociometric clique†
  • Heuristic and Special Case Algorithms for Dispersion Problems
  • Greedily Finding a Dense Subgraph




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