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Applied Matrix and Tensor Variate Data Analysis
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Description for Applied Matrix and Tensor Variate Data Analysis
Paperback. Editor(s): Sakata, Toshio. Series: SpringerBriefs in Statistics. Num Pages: 120 pages, 18 black & white illustrations, 6 colour illustrations, biography. BIC Classification: JHBC; PBK; PBT; UNC. Category: (P) Professional & Vocational. Dimension: 235 x 155. .
This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable ... Read more
This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer Verlag, Japan Japan
Number of pages
120
Condition
New
Series
SpringerBriefs in Statistics
Number of Pages
136
Place of Publication
Tokyo, Japan
ISBN
9784431553861
SKU
V9784431553861
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Applied Matrix and Tensor Variate Data Analysis
“In its six chapters it covers a large span of methods and problems of eigenvector analysis of matrices, and many-way arrays, also known as tensors. Seven authors contribute to describing and developing these techniques for practical applications of computational statistical analysis in various fields of high-dimensional data. … This monograph can serve to lecturers, graduate students, and researchers working with ... Read more