國立高雄大學圖資館 |

Language: English

Back

Geometric science of information5th ...

(1998 :)

Geometric science of information5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Geometric science of informationedited by Frank Nielsen, Frederic Barbaresco.
Reminder of title:	5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings /
remainder title:	GSI 2021
other author:	Nielsen, Frank.
corporate name:
Published:	Cham :Springer International Publishing :2021.
Description:	xxix, 929 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	GeometryCongresses.Data processing
Online resource:	https://doi.org/10.1007/978-3-030-80209-7
ISBN:	9783030802097$q(electronic bk.)

Geometric science of information5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings /
Geometric science of information5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings /[electronic resource] :GSI 2021edited by Frank Nielsen, Frederic Barbaresco. - Cham :Springer International Publishing :2021. - xxix, 929 p. :ill., digital ;24 cm. - Lecture notes in computer science,128290302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the proceedings of the 5th International Conference on Geometric Science of Information, GSI 2021, held in Paris, France, in July 2021. The 98 papers presented in this volume were carefully reviewed and selected from 125 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: Probability and statistics on Riemannian Manifolds; sub-Riemannian geometry and neuromathematics; shapes spaces; geometry of quantum states; geometric and structure preserving discretizations; information geometry in physics; Lie group machine learning; geometric and symplectic methods for hydrodynamical models; harmonic analysis on Lie groups; statistical manifold and Hessian information geometry; geometric mechanics; deformed entropy, cross-entropy, and relative entropy; transformation information geometry; statistics, information and topology; geometric deep learning; topological and geometrical structures in neurosciences; computational information geometry; manifold and optimization; divergence statistics; optimal transport and learning; and geometric structures in thermodynamics and statistical physics.

ISBN: 9783030802097$q(electronic bk.)

Standard No.: 10.1007/978-3-030-80209-7doiSubjects--Topical Terms:

442682
Geometry
--Data processing--Congresses.

LC Class. No.: QA448.D38 / G75 2021

Dewey Class. No.: 516.00285

Geometric science of information5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings /
LDR:02593nmm a2200361 a 4500 001 602089
003 DE-He213
005 20210709154819.0
006 m d
007 cr nn 008maaau
008 211112s2021 sz s 0 eng d
020 $a 9783030802097$q(electronic bk.)
020 $a 9783030802080$q(paper)
024 7 $a 10.1007/978-3-030-80209-7 $2 doi
035 $a 978-3-030-80209-7
040 $a GP $c GP
041 0 $a eng
050 4 $a QA448.D38 $b G75 2021
072 7 $a UYA $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UYA $2 thema
072 7 $a UYAM $2 thema
082 0 4 $a 516.00285 $2 23
090 $a QA448.D38 $b G895 2021
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Geometric science of information $h [electronic resource] : $b 5th International Conference, GSI 2021, Paris, France, July 21-23, 2021 : proceedings / $c edited by Frank Nielsen, Frederic Barbaresco.
246 3 $a GSI 2021
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxix, 929 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 12829
490 1 $a Image processing, computer vision, pattern recognition, and graphics
520 $a This book constitutes the proceedings of the 5th International Conference on Geometric Science of Information, GSI 2021, held in Paris, France, in July 2021. The 98 papers presented in this volume were carefully reviewed and selected from 125 submissions. They cover all the main topics and highlights in the domain of geometric science of information, including information geometry manifolds of structured data/information and their advanced applications. The papers are organized in the following topics: Probability and statistics on Riemannian Manifolds; sub-Riemannian geometry and neuromathematics; shapes spaces; geometry of quantum states; geometric and structure preserving discretizations; information geometry in physics; Lie group machine learning; geometric and symplectic methods for hydrodynamical models; harmonic analysis on Lie groups; statistical manifold and Hessian information geometry; geometric mechanics; deformed entropy, cross-entropy, and relative entropy; transformation information geometry; statistics, information and topology; geometric deep learning; topological and geometrical structures in neurosciences; computational information geometry; manifold and optimization; divergence statistics; optimal transport and learning; and geometric structures in thermodynamics and statistical physics.
650 0 $a Geometry $x Data processing $v Congresses. $3 442682
650 0 $a Information science $v Encyclopedias. $3 438257
650 0 $a Computer science $x Mathematics $3 253427
650 1 4 $a Mathematics of Computing. $3 273710
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Information Systems and Communication Service. $3 274025
650 2 4 $a Image Processing and Computer Vision. $3 274051
700 1 $a Nielsen, Frank. $3 339987
700 1 $a Barbaresco, Frederic. $3 731336
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
830 0 $a Image processing, computer vision, pattern recognition, and graphics. $3 823073
856 4 0 $u https://doi.org/10.1007/978-3-030-80209-7
950 $a Computer Science (SpringerNature-11645)