Tensors for Data Processing is popular PDF and ePub book, written by Yipeng Liu in 2021-10-21, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Tensors for Data Processing can be Read Online from any device for your convenience.
Tensors for Data Processing Book PDF Summary
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
Detail Book of Tensors for Data Processing PDF
- Author : Yipeng Liu
- Release : 21 October 2021
- Publisher : Academic Press
- ISBN : 9780323859653
- Genre : Technology & Engineering
- Total Page : 598 pages
- Language : English
- PDF File Size : 21,7 Mb
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