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portada Tensors for Data Processing: Theory, Methods, and Applications
Type
Physical Book
Illustrated by
Publisher
Author
Year
2021
Language
English
Pages
596
Format
Paperback
Dimensions
23.5 x 19.1 x 3.1 cm
Weight
1.01 kg.
ISBN13
9780128244470
Edition No.
1
Categories

Tensors for Data Processing: Theory, Methods, and Applications

Yipeng Liu (Illustrated by) · Academic Press · Paperback

Tensors for Data Processing: Theory, Methods, and Applications - Liu, Yipeng

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Synopsis "Tensors for Data Processing: Theory, Methods, and Applications "

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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