Description: Tensors for Data Processing : Theory, Methods, and Applications, Paperback by Liu, Yipeng, ISBN 012824447X, ISBN-13 9780128244470, Brand New, Free shipping in the US
Tensors for Data Processing: Theory, Methods and Applications presents both classical and state-of-the-art methods on tensor computation for data processing, covering computation theories, processing methods, computing and engineering applications, with an emphasis on techniques for data processing. This reference is ideal for students, researchers and industry developers who want to understand and use tensor-based data processing theories and methods.
As a higher-order generalization of a matrix, tensor-based processing can avoid multi-linear data structure loss that occurs in classical matrix-based data processing methods. This move from matrix to tensors is beneficial for many diverse application areas, including signal processing, computer science, acoustics, neuroscience, communication, medical engineering, seismology, psychometric, chemometrics, biometric, quantum physics and quantum chemistry.
- Provides a complete reference on classical and state-of-the-art tensor-based methods for data processing
- Includes a wide range of applications from different disciplines
- Gives guidance for their application
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Book Title: Tensors for Data Processing : Theory, Methods, and Applications
Number of Pages: 564 Pages
Language: English
Publication Name: Tensors for Data Processing : Theory, Methods, and Applications
Publisher: Elsevier Science & Technology
Publication Year: 2021
Subject: Signals & Signal Processing, General
Type: Textbook
Author: Yipeng Liu
Item Length: 9.2 in
Subject Area: Mathematics, Technology & Engineering
Item Width: 7.5 in
Format: Trade Paperback
