The Feasibility of Nonlinear Dimensionality Reduction for the Rapid Analysis of Persistent Surveillance Data, including the Detection of IED Placement Activity

Rapid Analysis ◽

Surveillance Data ◽

Nonlinear Dimensionality Reduction for Data on Manifold with Rings

Journal of Software ◽

10.3724/sp.j.1001.2008.02908 ◽

2009 ◽

Vol 19 (11) ◽

pp. 2908-2920

Author(s):

De-Yu MENG ◽

Nan-Nan GU ◽

Zong-Ben XU ◽

Yee LEUNG

Keyword(s):

Geometry and statistics-preserving manifold embedding for nonlinear dimensionality reduction

Pattern Recognition Letters ◽

10.1016/j.patrec.2021.07.012 ◽

2021 ◽

Author(s):

Md Tauhidul Islam ◽

Lei Xing

Keyword(s):

Manifold Embedding

Analysis and extension of spectral methods for nonlinear dimensionality reduction

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102450 ◽

2005 ◽

Cited By ~ 48

Author(s):

Fei Sha ◽

Lawrence K. Saul

Keyword(s):

Spectral Methods ◽

Adaptive virtual resource clustering and monitoring through nonlinear dimensionality reduction

2014 Sixth International Conference on Ubiquitous and Future Networks (ICUFN) ◽

10.1109/icufn.2014.6876851 ◽

2014 ◽

Author(s):

Zihou Wang ◽

Yanni Han ◽

Tao Lin

Keyword(s):

2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS) ◽

Supervised Spatially Coherent Nonlinear Dimensionality Reduction for Hyperspectral Image Classification

10.1109/whispers52202.2021.9484060 ◽

2021 ◽

Author(s):

Sergio D. Manzanarez ◽

Vidya Manian

Keyword(s):

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification

A comparison of linear and nonlinear dimensionality reduction methods applied to synthetic speech

10.21437/interspeech.2009-35 ◽

2009 ◽

Author(s):

Andrew Errity ◽

John McKenna

Keyword(s):

Synthetic Speech ◽

Reduction Methods ◽

Linear And Nonlinear

Nonlinear dimensionality reduction of data manifolds with essential loops

Neurocomputing ◽

10.1016/j.neucom.2004.11.042 ◽

2005 ◽

Vol 67 ◽

pp. 29-53 ◽

Cited By ~ 52

Author(s):

John Aldo Lee ◽

Michel Verleysen

Keyword(s):

Probabilistic nonlinear dimensionality reduction through gaussian process latent variable models: An overview

Computer-Aided Developments: Electronics and Communication ◽

10.1201/9780429340710-10 ◽

2019 ◽

pp. 77-89

Author(s):

Matteo Bodini

Keyword(s):

Gaussian Process ◽

Latent Variable ◽

Latent Variable Models ◽

Nonlinear Dimensionality Reduction: Algorithms and Applications

Multi-Label Dimensionality Reduction ◽

10.1201/b16017-12 ◽

2016 ◽

pp. 147-168

Keyword(s):

Sparse Solution to Inverse Problem of Nonlinear Dimensionality Reduction

Cryptology and Network Security - Lecture Notes in Computer Science ◽

10.1007/978-3-319-98678-4_33 ◽

2018 ◽

pp. 322-331 ◽

Cited By ~ 1

Author(s):

Honggui Li ◽

Maria Trocan

Keyword(s):

Inverse Problem ◽

Sparse Solution