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000805585 019__ $$a1013478105$$a1013901918
000805585 020__ $$a9783319684451$$q(electronic book)
000805585 020__ $$a3319684450$$q(electronic book)
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000805585 0247_ $$a10.1007/978-3-319-68445-1$$2doi
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000805585 08204 $$a516.00285$$223
000805585 1112_ $$aGSI (Conference)$$n(3rd :$$d2017 :$$cParis, France)
000805585 24510 $$aGeometric science of information :$$bthird International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings /$$cFrank Nielsen, Frédéric Barbaresco (eds.).
000805585 2463_ $$aGSI 2017
000805585 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000805585 300__ $$a1 online resource (xxv, 877 pages) :$$billustrations.
000805585 336__ $$atext$$btxt$$2rdacontent
000805585 337__ $$acomputer$$bc$$2rdamedia
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000805585 4901_ $$aLecture Notes in Computer Science,$$x0302-9743 ;$$v10589
000805585 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000805585 500__ $$aInternational conference proceedings.
000805585 500__ $$aIncludes author index.
000805585 506__ $$aAccess limited to authorized users.
000805585 520__ $$aThis book constitutes the refereed proceedings of the Third International Conference on Geometric Science of Information, GSI 2017, held in Paris, France, in November 2017. The 101 full papers presented were carefully reviewed and selected from 113 submissions and are organized into the following subjects:  Statistics on non-linear data Shape Space Optimal Transport & Applications I (Data Science and Economics) Optimal Transport & Applications II (Signal and Image Processing) Topology and statistical learning Statistical Manifold & Hessian Information Geometry Monotone Embedding in Information Geometry Information Structure in Neuroscience Geometric Robotics & Tracking Geometric Mechanics & Robotics Stochastic Geometric Mechanics & Lie Group Thermodynamics Probability on Riemannian Manifolds Divergence Geometry Geometric Deep Learning First and second-order Optimization on Statistical Manifolds Non-parametric Information Geometry Geometry of quantum states Optimization on Manifold Computational Information Geometry Probability Density Estimation Geometry of Tensor-Valued Data Geometry and Inverse Problems Geometry in Vision, Learning and Dynamical Systems Lie Groups and Wavelets Geometry of metric measure spaces Geometry and Telecom Geodesic Methods with Constraints Applications of Distance Geometry.
000805585 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 30, 2017).
000805585 650_0 $$aGeometry$$xData processing$$vCongresses.
000805585 650_0 $$aInformation science$$vCongresses.
000805585 650_0 $$aComputer science$$xMathematics$$vCongresses.
000805585 7001_ $$aNielsen, Frank,$$eeditor.
000805585 7001_ $$aBarbaresco, Frédéric,$$eeditor.
000805585 77608 $$iPrint version:$$z9783319684444
000805585 830_0 $$aLecture notes in computer science ;$$v10589.
000805585 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000805585 852__ $$bebk
000805585 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-68445-1$$zOnline Access$$91397441.1
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