Page - 359 - in Differential Geometrical Theory of Statistics

Image of the Page - 359 -

Text of the Page - 359 -

Entropy2016,18, 396 In order to test theRiemannianMeanShift performance,wegenerate simple synthetic radar clutterdata.Given250rangecells,wegenerate125cellsofgroundclutter (wind)centeredat0m·s−1, of spectralwidth5m·s−1, towhichweadd125cellsof rainclutter, centeredat5m·s−1, of spectral width10m·s−1. Thisclutter issampled10timesandthesegmentationisperformedoneachsimulation (seeFigures6–8). Figure6.Autoregressivespectra. Figure7.Classiﬁcationresults (onecolorpercluster). 359

back to the book Differential Geometrical Theory of Statistics"

Differential Geometrical Theory of Statistics

Title: Differential Geometrical Theory of Statistics
Authors: Frédéric Barbaresco; Frank Nielsen
Editor: MDPI
Location: Basel
Date: 2017
Language: English
License: CC BY-NC-ND 4.0
ISBN: 978-3-03842-425-3
Size: 17.0 x 24.4 cm
Pages: 476
Keywords: Entropy, Coding Theory, Maximum entropy, Information geometry, Computational Information Geometry, Hessian Geometry, Divergence Geometry, Information topology, Cohomology, Shape Space, Statistical physics, Thermodynamics
Categories: Naturwissenschaften Physik