Description: 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.
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EAN: 9780128244470
UPC: 9780128244470
ISBN: 9780128244470
MPN: N/A
Book Title: Tensors for Data Processing: Theory, Methods, and
Item Length: 23.5 cm
Item Weight: 1.01 kg
Number of Pages: 596 Pages
Publication Name: Tensors for Data Processing: Theory, Methods, and Applications
Language: English
Publisher: Elsevier Science Publishing Co Inc
Item Height: 235 mm
Subject: Computer Science
Publication Year: 2021
Type: Textbook
Author: Yipeng Liu
Item Width: 191 mm
Format: Paperback
