£111.03

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£111 today · previous high £111 · all-time low £108

Springer Matrix Information Geometry - Springer Computing Book

Amazon

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Description

Matrix Information Geometry presents advances in matrix and tensor data processing for signal, image and information processing applications. This comprehensive work explores theoretical mathematical approaches within practical contexts of sensor and cognitive systems engineering. The book covers Information Geometry, Differential Geometry of structured matrices, Positive Definite matrices, and Covariance matrices, with detailed examination of sensor technologies including Electromagnetic Fields and Acoustic sensors. Applications focus on cognitive systems and Data Mining, providing both rigorous mathematical foundations and real-world engineering solutions for professionals in computer science, artificial intelligence and machine learning seeking to deepen their understanding of advanced matrix methods and their industrial deployment.

Key Features

Matrix Information Geometry covers tensor data processing methods for signal, image and information processing applications.

Explores Differential Geometry of structured matrices and Positive Definite matrices with theoretical mathematical foundations.

Addresses Covariance matrices and sensor technologies including Electromagnetic Fields and Acoustic sensors for practical systems.

Focuses on cognitive systems applications and Data Mining techniques for extracting insights from complex datasets.

Published by Springer, a leading academic publisher specialising in computing and machine learning research materials.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
20 September 2014
Listed Since
23 September 2014

Barcode

No barcode data available

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