Article

Non-Linear Dimensionality Reduction

Authors:

David DeMers,

Garrison W. CottrellAuthors Info & Claims

Advances in Neural Information Processing Systems 5, [NIPS Conference]

Pages 580 - 587

Published: 30 November 1992 Publication History

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Chen HLi JGao JSun YHu YYin B(2019)Maximally Correlated Principal Component Analysis Based on Deep Parameterization LearningACM Transactions on Knowledge Discovery from Data10.1145/333218313:4(1-17)Online publication date: 29-Jul-2019
https://dl.acm.org/doi/10.1145/3332183
Sugiura HKiwaki TYousefi SMurata HAsaoka RYamanishi KGuo YFarooq F(2018)Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and VisualizationProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3219819.3219866(783-792)Online publication date: 19-Jul-2018
https://dl.acm.org/doi/10.1145/3219819.3219866
Fan JChow TZhao MHo J(2018)Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood GraphNeural Processing Letters10.1007/s11063-017-9676-547:2(697-716)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s11063-017-9676-5
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Published In

Advances in Neural Information Processing Systems 5, [NIPS Conference]

November 1992

1008 pages

ISBN:1558602747

Publisher

Morgan Kaufmann Publishers Inc.

San Francisco, CA, United States

Publication History

Published: 30 November 1992

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Chen HLi JGao JSun YHu YYin B(2019)Maximally Correlated Principal Component Analysis Based on Deep Parameterization LearningACM Transactions on Knowledge Discovery from Data10.1145/333218313:4(1-17)Online publication date: 29-Jul-2019
https://dl.acm.org/doi/10.1145/3332183
Sugiura HKiwaki TYousefi SMurata HAsaoka RYamanishi KGuo YFarooq F(2018)Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and VisualizationProceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining10.1145/3219819.3219866(783-792)Online publication date: 19-Jul-2018
https://dl.acm.org/doi/10.1145/3219819.3219866
Fan JChow TZhao MHo J(2018)Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood GraphNeural Processing Letters10.1007/s11063-017-9676-547:2(697-716)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1007/s11063-017-9676-5
Borisov ASerdyukov Pde Rijke MBourdeau JHendler JNkambou RHorrocks IZhao B(2016)Using Metafeatures to Increase the Effectiveness of Latent Semantic Models in Web SearchProceedings of the 25th International Conference on World Wide Web10.1145/2872427.2882987(1081-1091)Online publication date: 11-Apr-2016
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Schmidhuber J(2015)Deep learning in neural networksNeural Networks10.1016/j.neunet.2014.09.00361:C(85-117)Online publication date: 1-Jan-2015
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Cho MPark H(2011)Facial image analysis using subspace segregation based on class informationProceedings of the 18th international conference on Neural Information Processing - Volume Part II10.1007/978-3-642-24958-7_41(350-357)Online publication date: 13-Nov-2011
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Parviainen E(2010)Dimension reduction for regression with bottleneck neural networksProceedings of the 11th international conference on Intelligent data engineering and automated learning10.5555/1884499.1884504(37-44)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.5555/1884499.1884504
Motomura SKato SItoh H(2009)Generating Association-Based Motion through Human-Robot InteractionProceedings of the 12th International Conference on Principles of Practice in Multi-Agent Systems10.1007/978-3-642-11161-7_27(389-402)Online publication date: 15-Dec-2009
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Marinai SMarino ESoda G(2009)Nonlinear Embedded Map Projection for Dimensionality ReductionProceedings of the 15th International Conference on Image Analysis and Processing10.1007/978-3-642-04146-4_25(219-228)Online publication date: 29-Aug-2009
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Scholz M(2007)Analysing periodic phenomena by circular PCAProceedings of the 1st international conference on Bioinformatics research and development10.5555/1762370.1762376(38-47)Online publication date: 12-Mar-2007
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Linear Dimensionality Reduction via a Heteroscedastic Extension of LDA: The Chernoff Criterion

Linear discriminant dimensionality reduction

Linear Discriminant dimensionality reduction

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