國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Geometric science of informationthir...

(1998 :)

Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Geometric science of informationedited by Frank Nielsen, Frederic Barbaresco.
其他題名:	third International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
其他題名:	GSI 2017
其他作者:	Nielsen, Frank.
團體作者:
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xxv, 877 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	GeometryCongresses.Data processing
電子資源:	http://dx.doi.org/10.1007/978-3-319-68445-1
ISBN:	9783319684451$q(electronic bk.)

Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /[electronic resource] :GSI 2017edited by Frank Nielsen, Frederic Barbaresco. - Cham :Springer International Publishing :2017. - xxv, 877 p. :ill., digital ;24 cm. - Lecture notes in computer science,105890302-9743 ;. - Lecture notes in computer science ;4891..

This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017. The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: Statistics on non-linear data Shape Space Optimal Transport & Applications I (Data Science and Economics) Optimal Transport & Applications II (Signal and Image Processing) Topology and statistical learning Statistical Manifold & Hessian Information Geometry Monotone Embedding in Information Geometry Information Structure in Neuroscience Geometric Robotics & Tracking Geometric Mechanics & Robotics Stochastic Geometric Mechanics & Lie Group Thermodynamics Probability on Riemannian Manifolds Divergence Geometry Geometric Deep Learning First and second-order Optimization on Statistical Manifolds Non-parametric Information Geometry Geometry of quantum states Optimization on Manifold Computational Information Geometry Probability Density Estimation Geometry of Tensor-Valued Data Geometry and Inverse Problems Geometry in Vision, Learning and Dynamical Systems Lie Groups and Wavelets Geometry of metric measure spaces Geometry and Telecom Geodesic Methods with Constraints Applications of Distance Geometry.

ISBN: 9783319684451$q(electronic bk.)

Standard No.: 10.1007/978-3-319-68445-1doiSubjects--Topical Terms:

442682
Geometry
--Data processing--Congresses.

LC Class. No.: QA448.D38

Dewey Class. No.: 516.00285

Geometric science of informationthird International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings /
LDR:02492nmm a2200349 a 4500 001 523368
003 DE-He213
005 20171025080010.0
006 m d
007 cr nn 008maaau
008 180628s2017 gw s 0 eng d
020 $a 9783319684451$q(electronic bk.)
020 $a 9783319684444$q(paper)
024 7 $a 10.1007/978-3-319-68445-1 $2 doi
035 $a 978-3-319-68445-1
040 $a GP $c GP
041 0 $a eng
050 4 $a QA448.D38
072 7 $a UYT $2 bicssc
072 7 $a UYQV $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a COM016000 $2 bisacsh
082 0 4 $a 516.00285 $2 23
090 $a QA448.D38 $b G895 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Geometric science of information $h [electronic resource] : $b third International Conference, GSI 2017, Paris, France, November 7-9, 2017 : proceedings / $c edited by Frank Nielsen, Frederic Barbaresco.
246 3 $a GSI 2017
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xxv, 877 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in computer science, $x 0302-9743 ; $v 10589
520 $a This book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017. The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects: Statistics on non-linear data Shape Space Optimal Transport & Applications I (Data Science and Economics) Optimal Transport & Applications II (Signal and Image Processing) Topology and statistical learning Statistical Manifold & Hessian Information Geometry Monotone Embedding in Information Geometry Information Structure in Neuroscience Geometric Robotics & Tracking Geometric Mechanics & Robotics Stochastic Geometric Mechanics & Lie Group Thermodynamics Probability on Riemannian Manifolds Divergence Geometry Geometric Deep Learning First and second-order Optimization on Statistical Manifolds Non-parametric Information Geometry Geometry of quantum states Optimization on Manifold Computational Information Geometry Probability Density Estimation Geometry of Tensor-Valued Data Geometry and Inverse Problems Geometry in Vision, Learning and Dynamical Systems Lie Groups and Wavelets Geometry of metric measure spaces Geometry and Telecom Geodesic Methods with Constraints Applications of Distance Geometry.
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 Computer Science. $3 212513
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Mathematics of Computing. $3 273710
650 2 4 $a Systems and Data Security. $3 274481
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 eBooks
830 0 $a Lecture notes in computer science ; $v 4891. $3 383229
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-68445-1
950 $a Computer Science (Springer-11645)