Self-taught dimensionality reduction on the high-dimensional small-sized data

DOI10.1016/j.patcog.2012.07.018zbMath1248.68429OpenAlexW1980132690MaRDI QIDQ456032

Zi Huang, Changsheng Xu, Heng Tao Shen, Yang Yang, Jiebo Luo, Xiaofeng Zhu

Publication date: 23 October 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2012.07.018

zbMATH Keywords

unsupervised learningdimensionality reductionmanifold learningjoint sparse codingself-taught learning

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (5)

Large margin subspace learning for feature selection ⋮ Multi-manifold discriminant Isomap for visualization and classification ⋮ Joint hypergraph learning and sparse regression for feature selection ⋮ Multiple kernel dimensionality reduction via ratio-trace and marginal Fisher analysis ⋮ Risk bound of transfer learning using parametric feature mapping and its application to sparse coding

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