"Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data"

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Book	Author(s)	Year	Publisher
Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
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
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
Nonlinear Dimensionality Reduction	John A. Lee; Michel Verleysen	2007	Springer New York
Geometric Structure of High-Dimensional Data and Dimensionality Reduction	Jianzhong Wang	2012	Springer Berlin Heidelberg
Multi-Label Dimensionality Reduction	Liang Sun; Shuiwang Ji; Jieping Ye	2013	Routledge
Nonlinear Dimensionality Reduction Techniques: A Data Structure Preservation Approach	Sylvain Lespinats; Benoit Colange; Denys Dutykh	1st ed. 2022	Springer International Publishing
Subspace Learning of Neural Networks	Jian Cheng Lv; Zhang Yi; Jiliu Zhou	2011	Routledge
Subspace learning of neural networks	Jian Cheng Lv	2011	CRC Press
Classification Pattern Recognition and Reduction of Dimensionality	P.R. Krishnaiah and L.N. Kanal	1982	Elsevier
Dimensionality Reduction with Unsupervised Nearest Neighbors	Oliver Kramer	2013	Springer Berlin Heidelberg
Open Problems in Spectral Dimensionality Reduction	Harry Strange; Reyer Zwiggelaar	2014	Springer International Publishing
Geometric data analysis: an empirical approach to dimensionality reduction and the study of patterns /	Kirby, Michael,	[2001], ©2001.	Wiley,
Analysis and Control of Cellular Ensembles: Exploiting Dimensionality Reduction in Single-cell Data and Models	Karsten Kuritz	2020	Logos Verlag Berlin
Method of Dimensionality Reduction in Contact Mechanics and Friction	Valentin L. Popov; Markus Heß	2015	Springer Berlin Heidelberg
A dimensionality reduction technique for enhancing information context	Michael Lee Maurer	1980	Naval Postgraduate School
Multidimensional Mining of Massive Text Data	Chao Zhang; Jiawei Han		Springer International Publishing
Multidimensional Mining of Massive Text Data	Chao Zhang, Jiawei Han	2019	Morgan & Claypool
Multidimensional Databases and Data Warehousing	Christian Jensen; Torben Bach Pedersen; Christian Thomsen		Springer International Publishing
Multidimensional databases and data warehousing	Christian S. Jensen	2010	Morgan & Claypool
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
- Linear Subspace Learning for Dimensionality Reduction	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
43 Multilinear subspace learning		Deep Neural Network Design for Radar Applications	Sevgi Zubeyde Gurbuz	2021	SciTech Publishing
- Fundamentals of Multilinear Subspace Learning	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
- Overview of Multilinear Subspace Learning	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
- Applications of Multilinear Subspace Learning	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data	Haiping Lu; Konstantinos N. Plataniotis; Anastasios Venetsanopoulos	2014	Routledge
Multilinear (Tensor) ICA and Dimensionality Reduction	M. Alex O. Vasilescu; Demetri Terzopoulos	Independent Component Analysis and Signal Separation: 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings	Mike E. Davies; Christopher C. James; Samer A. Abdallah; Mark D. Plumbley	2007	Springer Berlin Heidelberg
Data dimensionality reduction		Deep Learning for Beginners; A beginner's guide to getting up and running with deep learning from scratch using Python	Dr. Pablo Rivas	2020	Packt
Data dimensionality reduction		Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques (English Edition)	Anand Deshpande, Manish Kumar	2018	Packt Publishing
Data dimensionality reduction		Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques	Anand Deshpande, Manish Kumar	2018	Packt
Data Dimensionality Reduction		Hyperspectral Imaging: Algorithm Design and Analysis	Chein-I Chang	2013	John Wiley & Sons
Performing dimensionality data reduction		Hands-On Data Preprocessing in Python: Learn how to effectively prepare data for successful data analytics	Roy Jafari	2022	Packt Publishing
34 Data Dimensionality Reduction		Applied Mathematics	Charles K. Chui, Qingtang Jiang	2013	Atlantis Press
Dimensionality Reduction Using Graph Weighted Subspace Learning for Bankruptcy Prediction	Bernardete Ribeiro; Ning Chen	Real World Data Mining Applications	Mahmoud Abou-Nasr; Stefan Lessmann; Robert Stahlbock; Gary M. Weiss	2015	Springer International Publishing
A Graph Based Subspace Semi-supervised Learning Framework for Dimensionality Reduction	Wuyi Yang; Shuwu Zhang; Wei Liang	Computer Vision - ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008. Proceedings, Part II	David Forsyth; Philip Torr; Andrew Zisserman	2008	Springer Berlin Heidelberg
Supervised learning and dimensionality reduction		Hands-On Recommendation Systems with Python: Start Building Powerful and Personalized, Recommendation Engines with Python	Banik, Rounak	2018	Packt Publishing Ltd
Dimensionality Reduction and Metric Learning	Zhi-Hua Zhou	Machine Learning	Zhi-Hua Zhou	1st ed. 2021	Springer Nature Singapore
Dimensionality Reduction for Imbalanced Learning	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	Learning from Imbalanced Data Sets	Alberto Fernández; Salvador García; Mikel Galar; Ronaldo C. Prati; Bartosz Krawczyk; Francisco Herrera	1st ed. 2018	Springer International Publishing
Representation learning and dimensionality reduction		Machine Learning A First Course for Engineers and Scientists [draft]	Andreas Lindholm, Niklas Wahlström, Fredrik Lindsten, Thomas B. Schön	2021
On Reduction of Data Series Dimensionality	Maciej Krawczak; Grażyna Szkatuła	Issues and Challenges of Intelligent Systems and Computational Intelligence	László T. Kóczy; Claudiu R. Pozna; Janusz Kacprzyk	2014	Springer International Publishing
Reduction of Dimensionality	Michael Greenacre	Correspondence Analysis in Practice	Michael Greenacre	2016	Routledge
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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