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| Titre : | Tensor Computation for Data Analysis |
| Auteurs : | Liu Yipeng, Auteur ; Long Zhen, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Springer Nature, 2022 |
| ISBN/ISSN/EAN : | 978-3-030-74388-8 |
| Format : | 338p. / ill.couv en coul. / 24 Cm. |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 004.0151 (Traitement des données informatiques - Principes mathématiques) |
| Catégories : | |
| Résumé : | This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and comprehensive coverage of tensor computation based data analysis techniques. In addition, some practical examples in machine learning, signal processing, data mining, computer vision, remote sensing, and biomedical engineering are also presented for easy understanding and implementation. These data analysis techniques may be further applied in other applications on neuroscience, communication, psychometrics, chemometrics, biometrics, quantum physics, quantum chemistry, etc. |
| Note de contenu : |
Summary:
Chapitre 1-Tensor Computation Chapitre 2-Tensor Decomposition Chapitre 3-Tensor Dictionary Learning Chapitre 4-Low Rank Tensor Recovery Chapitre 5-Coupled Tensor for Data Analysis Chapitre 6-Robust Principal Tensor Component Analysis Chapitre 7-Tensor Regression Chapitre 8-Statistical Tensor Classificatio Chapitre 9-Tensor Subspace Cluster Chapitre 10-Tensor Decomposition in Deep Networks Chapitre 11-Deep Networks for Tensor Approximation Chapitre 12-Tensor-based Gaussian Graphical Model Chapitre 13-Tensor Sketch |
Exemplaires (2)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/12667 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |
| F8/12668 | Livre | Bibliothèque de la Faculté de Technologie | Section documentaire | Disponible |
