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Autore: | Lu Haiping |
Titolo: | Multilinear subspace learning : dimensionality reduction of multidimensional data / / Haiping Lu, K. N. Plataniotis, A. N. Venetsanopoulos |
Pubblicazione: | Boca Raton, Florida : , : CRC Press, , 2014 |
©2014 | |
Descrizione fisica: | 1 online resource (275 p.) |
Disciplina: | 005.7 |
Soggetto topico: | Data compression (Computer science) |
Big data | |
Multilinear algebra | |
Classificazione: | COM021030COM037000TEC007000 |
Altri autori: | PlataniotisK. N VenetsanopoulosA. N |
Note generali: | Description based upon print version of record. |
Nota di bibliografia: | Includes bibliographical references. |
Nota di contenuto: | Front Cover; Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data; Copyright; Dedication; Table of Contents; List of Figures; List of Tables; List of Algorithms; Acronyms and Symbols; Preface; 1. Introduction; Part I: Fundamentals and Foundations; 2. Linear Subspace Learning for Dimensionality Reduction; 3. Fundamentals of Multilinear Subspace Learning; 4. Overview of Multilinear Subspace Learning; 5. Algorithmic and Computational Aspects; Part II: Algorithms and Applications; 6. Multilinear Principal Component Analysis; 7. Multilinear Discriminant Analysis |
8. Multilinear ICA, CCA, and PLS9. Applications of Multilinear Subspace Learning; Appendix A: Mathematical Background; Appendix B: Data and Preprocessing; Appendix C: Software; Bibliography; Back Cover | |
Sommario/riassunto: | Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional techniques. Addressing this need, multilinear subspace learning (MSL) reduces the dimensionality of big data directly from its natural multidimensional representation, a tensor.Multilinear Subspace Learning: Dimensionality Reduction of Mult |
Titolo autorizzato: | Multilinear subspace learning |
ISBN: | 0-429-10809-5 |
1-4398-5729-6 | |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910821414003321 |
Lo trovi qui: | Univ. Federico II |
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