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020 _a9783319684451
_9978-3-319-68445-1
024 7 _a10.1007/978-3-319-68445-1
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
245 1 0 _aGeometric Science of Information
_h[electronic resource] :
_bThird International Conference, GSI 2017, Paris, France, November 7-9, 2017, Proceedings /
_cedited by Frank Nielsen, Frédéric Barbaresco.
250 _a1st ed. 2017.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2017.
300 _aXXV, 877 p. 168 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v10589
505 0 _aStatistics on non-linear data -- Shape space -- Optimal Transport & Applications -- Statistical Manifold & Hessian Information Geometry -- Statistical Manifold and Hessian Information Geometry -- Monotone Embedding in Information Geometry -- Information Structure in Neuroscience -- Geometric Robotics and Tracking -- Geometric Mechanics and Robotics -- Stochastic Geometric Mechanics and Lie Group Thermodynamics -- Probability on Riemannian Manifolds -- Divergence Geometry -- Non-parametric Information Geometry -- Optimization on Manifold -- Computational Information Geometry -- Probability Density Estimation -- Session Geometry of Tensor-Valued Data -- Geodesic Methods with Constraints -- Applications of Distance Geometry.
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 and applications: image processing; optimal transport and applications: signal processing; statistical manifold and hessian information geometry; monotone embedding in information geometry; information structure in neuroscience; geometric robotics and tracking; geometric mechanics and robotics; stochastic geometric mechanics and Lie group thermodynamics; probability on Riemannian manifolds; divergence geometry; non-parametric information geometry; optimization on manifold; computational information geometry; probability density estimation; session geometry of tensor-valued data; geodesic methods with constraints; applications of distance geometry.
650 0 _aComputer vision.
_9134203
650 0 _aArtificial intelligence.
_93407
650 0 _aComputer science
_xMathematics.
_93866
650 0 _aData protection.
_97245
650 1 4 _aComputer Vision.
_9134204
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aMathematics of Computing.
_931875
650 2 4 _aData and Information Security.
_931990
700 1 _aNielsen, Frank.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9134205
700 1 _aBarbaresco, Frédéric.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9134206
710 2 _aSpringerLink (Online service)
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773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319684444
776 0 8 _iPrinted edition:
_z9783319684468
830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v10589
_9134208
856 4 0 _uhttps://doi.org/10.1007/978-3-319-68445-1
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