Multilinear subspace learning : dimensionality reduction of multidimensional data / / Haiping Lu, K. N. Plataniotis, A. N. Venetsanopoulos |
Autore | Lu Haiping |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , 2014 |
Descrizione fisica | 1 online resource (275 p.) |
Disciplina | 005.7 |
Altri autori (Persone) |
PlataniotisK. N
VenetsanopoulosA. N |
Collana |
Chapman & Hall/CRC machine learning & pattern recognition series Multilinear subspace learning
Chapman & Hall/CRC machine learning & pattern recognition series |
Soggetto topico |
Data compression (Computer science)
Big data Multilinear algebra |
ISBN |
0-429-10809-5
1-4398-5729-6 |
Classificazione | COM021030COM037000TEC007000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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 |
Record Nr. | UNINA-9910789003903321 |
Lu Haiping | ||
Boca Raton, Florida : , : CRC Press, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Multilinear subspace learning : dimensionality reduction of multidimensional data / / Haiping Lu, K. N. Plataniotis, A. N. Venetsanopoulos |
Autore | Lu Haiping |
Pubbl/distr/stampa | Boca Raton, Florida : , : CRC Press, , 2014 |
Descrizione fisica | 1 online resource (275 p.) |
Disciplina | 005.7 |
Altri autori (Persone) |
PlataniotisK. N
VenetsanopoulosA. N |
Collana |
Chapman & Hall/CRC machine learning & pattern recognition series Multilinear subspace learning
Chapman & Hall/CRC machine learning & pattern recognition series |
Soggetto topico |
Data compression (Computer science)
Big data Multilinear algebra |
ISBN |
0-429-10809-5
1-4398-5729-6 |
Classificazione | COM021030COM037000TEC007000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
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 |
Record Nr. | UNINA-9910821414003321 |
Lu Haiping | ||
Boca Raton, Florida : , : CRC Press, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|