000 -LEADER |
fixed length control field |
a |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
220222b xxu||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319450254 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
516.373 |
Item number |
MIN |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Minh, Ha Quang ed. |
245 ## - TITLE STATEMENT |
Title |
Algorithmic advances in Riemannian geometry and applications : for machine learning, computer vision, statistics, and optimization |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
2016 |
Place of publication, distribution, etc |
Cham : |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiv, 208 p. ; |
Other physical details |
ill., (some color), |
Dimensions |
25cm |
365 ## - TRADE PRICE |
Price amount |
119.99 |
Price type code |
EUR |
Unit of pricing |
88.10 |
490 ## - SERIES STATEMENT |
Series statement |
Advances in computer vision and pattern recognition |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc |
This book presents a selection of the most recent algorithmic advances in Riemannian geometry in the context of machine learning, statistics, optimization, computer vision, and related fields. The unifying theme of the different chapters in the book is the exploitation of the geometry of data using the mathematical machinery of Riemannian geometry. As demonstrated by all the chapters in the book, when the data is intrinsically non-Euclidean, the utilization of this geometrical information can lead to better algorithms that can capture more accurately the structures inherent in the data, leading ultimately to better empirical performance. This book is not intended to be an encyclopedic compilation of the applications of Riemannian geometry. Instead, it focuses on several important research directions that are currently actively pursued by researchers in the field. These include statistical modeling and analysis on manifolds, optimization on manifolds, Riemannian manifolds and kernel methods, and dictionary learning and sparse coding on manifolds. Examples of applications include novel algorithms for Monte Carlo sampling and Gaussian Mixture Model fitting, 3D brain image analysis, image classification, action recognition, and motion tracking. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
|
Topical term or geographic name as entry element |
Machine learning |
|
Topical term or geographic name as entry element |
Computer vision |
|
Topical term or geographic name as entry element |
Computational Intelligence |
|
Topical term or geographic name as entry element |
Mathematical Applications in Computer Science |
|
Topical term or geographic name as entry element |
Probability and Statistics in Computer Science |
|
Topical term or geographic name as entry element |
Affine-invariant distance |
|
Topical term or geographic name as entry element |
Diffeomorphisms |
|
Topical term or geographic name as entry element |
Frobenius norm |
|
Topical term or geographic name as entry element |
Gaussian Kernel |
|
Topical term or geographic name as entry element |
Hilbert-Schmidt operator |
|
Topical term or geographic name as entry element |
Image classification |
|
Topical term or geographic name as entry element |
Kotz-type distribution |
|
Topical term or geographic name as entry element |
Log-Euclidean distance |
|
Topical term or geographic name as entry element |
Lie algebra |
|
Topical term or geographic name as entry element |
Positive definite Kernel |
|
Topical term or geographic name as entry element |
Kernel Hilbert Space |
|
Topical term or geographic name as entry element |
Riemannian manifold |
|
Topical term or geographic name as entry element |
Shape analysis |
|
Topical term or geographic name as entry element |
Symmetric positive definite (SPD) matrices |
|
Topical term or geographic name as entry element |
Two-layer kernel machine |
700 ## - ADDED ENTRY--PERSONAL NAME |
Personal name |
Murino, Vittorio |
Relator term |
ed. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
Books |