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Biblioteca

MARC Lista (tabellare)
Multilinear subspace learning : dimensionality reduction of multidimensional data / / Haiping Lu, K. N. Plataniotis, A. N. Venetsanopoulos
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
Opac: Controlla la disponibilità qui
Multilinear subspace learning : dimensionality reduction of multidimensional data / / Haiping Lu, K. N. Plataniotis, A. N. Venetsanopoulos
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
Opac: Controlla la disponibilità qui