"Open Problems in Spectral Dimensionality Reduction"

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Book	Author(s)	Year	Publisher
Open Problems in Spectral Dimensionality Reduction	Harry Strange; Reyer Zwiggelaar	2014	Springer International Publishing
Nonlinear Dimensionality Reduction	John A. Lee; Michel Verleysen	2007	Springer New York
Dimensionality Reduction in Data Science	Max Garzon; Ching-Chi Yang; Deepak Venugopal; Nirman Kumar; Kalidas Jana; Lih-Yuan Deng	1st ed. 2022	Springer International Publishing
Multi-Label Dimensionality Reduction	Liang Sun; Shuiwang Ji; Jieping Ye	2013	Routledge
Dimensionality Reduction with Unsupervised Nearest Neighbors	Oliver Kramer	2013	Springer Berlin Heidelberg
Classification Pattern Recognition and Reduction of Dimensionality	P.R. Krishnaiah and L.N. Kanal	1982	Elsevier
Method of Dimensionality Reduction in Contact Mechanics and Friction	Valentin L. Popov; Markus Heß	2015	Springer Berlin Heidelberg
Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization: Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization	B. K. Tripathy; S Anveshrithaa; Shrusti Ghela	2021	Routledge
Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
A dimensionality reduction technique for enhancing information context	Michael Lee Maurer	1980	Naval Postgraduate School
Geometric Structure of High-Dimensional Data and Dimensionality Reduction	Jianzhong Wang	2012	Springer Berlin Heidelberg
Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach	Sylvain Lespinats; Benoit Colange; Denys Dutykh	1st ed. 2022	Springer International Publishing
Spectral Theory and Problems in Diffraction	V. M. Babich (auth.), M. Sh. Birman (eds.)	1968	Springer US
Inverse Boundary Spectral Problems	Alexander Kachalov; Yaroslav Kurylev; Matti Lassas	2001	Routledge
Open Problems in Mathematics	John Forbes Nash; Jr.; Michael Th. Rassias	1st ed. 2016	Springer International Publishing
Open Problems in Topology	Jan Van Mill, George M. Reed	1990	North-Holland
Carbon-13 NMR Spectral Problems	Robert B. Bates; William A. Beavers	1981	Humana Press
Open Problems in Topology II	Elliott Pearl	2007	Elsevier
Reduction in Science: Structure, Examples, Philosophical Problems	W. Balzer; D. Pearce; Heinz-Jürgen Schmidt	1984	Springer Netherlands
Human problems in acreage reduction in the South	Calvin B. Hoover	1934	s.n.
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Spectral Dimensionality Reduction	Yoshua Bengio; Olivier Delalleau; Nicolas Le Roux; Jean-François Paiement; Pascal Vincent; Marie Ouimet	Feature Extraction: Foundations and Applications	Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Lofti A. Zadeh	2006	Springer Berlin Heidelberg
Spectral Dimensionality Reduction	Harry Strange; Reyer Zwiggelaar	Open Problems in Spectral Dimensionality Reduction	Harry Strange; Reyer Zwiggelaar	2014	Springer International Publishing
Spectral Dimensionality Reduction Methods	Xihui Bian	Chemometric Methods in Analytical Spectroscopy Technology	Xiaoli Chu; Yue Huang; Yong-Huan Yun; Xihui Bian	1st ed. 2022	Springer Nature Singapore
27 Spectral Dimensionality Reduction		Feature Extraction Foundations and Applications. Pattern Recognition	Guyon Isabelle	2006	Springer
Spectral Methods for Dimensionality Reduction	Saul Lawrence K.	Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Non-redundant Spectral Dimensionality Reduction	Yochai Blau; Tomer Michaeli	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I	Michelangelo Ceci; Jaakko Hollmén; Ljupčo Todorovski; Celine Vens; Sašo Džeroski	1st ed. 2017	Springer International Publishing
Spectral Methods for Dimensionality Reduction		Semi-Supervised Learning	Olivier Chapelle; Bernhard Schölkopf; Alexander Zien	2006	MIT Press
16- Spectral Methods for Dimensionality Reduction		Semi-Supervised Learning	Olivier Chapelle; Bernhard Scholkopf; Alexander Zien	2006	The MIT Press
Dimensionality Reduction	Oliver Kramer	Dimensionality Reduction with Unsupervised Nearest Neighbors	Oliver Kramer	2013	Springer Berlin Heidelberg
Dimensionality Reduction	Michail Vlachos	Encyclopedia of Machine Learning and Data Mining	Claude Sammut; Geoffrey I. Webb	2nd ed. 2017	Springer US
Dimensionality Reduction	Rafael E. Banchs	Text Mining with MATLAB®	Rafael E. Banchs	2013	Springer New York
Dimensionality Reduction	Daniel Durstewitz	Advanced Data Analysis in Neuroscience: Integrating Statistical and Computational Models	Daniel Durstewitz	1st ed. 2017	Springer International Publishing
Dimensionality Reduction	Shan Suthaharan	Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning	Shan Suthaharan	1st ed. 2016	Springer US
Dimensionality Reduction	Francisco Herrera; Francisco Charte; Antonio J. Rivera; María J. del Jesus	Multilabel Classification: Problem Analysis, Metrics and Techniques	Francisco Herrera; Francisco Charte; Antonio J. Rivera; María J. del Jesus	1st ed. 2016	Springer International Publishing
Dimensionality Reduction	Sofya Chepushtanova; Elin Farnell; Eric Kehoe; Michael Kirby; Henry Kvinge	Data Science for Mathematicians	Nathan Carter	2020	Routledge
Dimensionality Reduction	Harry G. Perros	An Introduction to IoT Analytics	Harry G. Perros	2021	Routledge
Dimensionality Reduction	Daniel Cohen-Or; Chen Greif; Tao Ju; Niloy J. Mitra; Ariel Shamir; Olga Sorkine-Hornung; Hao (Richard) Zhang	A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing	Daniel Cohen-Or; Chen Greif; Tao Ju; Niloy J. Mitra; Ariel Shamir; Olga Sorkine-Hornung; Hao (Richard) Zhang	2015	Routledge
Dimensionality Reduction	Taylor Arnold; Michael Kane; Bryan W. Lewis	A Computational Approach to Statistical Learning	Taylor Arnold; Michael Kane; Bryan W. Lewis	2019	Routledge
Dimensionality Reduction	Michail Vlachos	Encyclopedia of Machine Learning	Claude Sammut; Geoffrey I. Webb	2010	Springer US
Dimensionality Reduction	Eisaku Maeda	Computer Vision: A Reference Guide	Katsushi Ikeuchi	2014	Springer US
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Showing 1 to 20 of 100 entries

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