We introduce Shape-Sphere, a vector space where time series are presented as points on the surface of a sphere.
Abstract Shape analogy is a key technique in analyzing time series. That is, time series are compared by how much they look alike.
Shape analogy is a key technique in analyzing time series. That is, time series are compared by how much they look alike.
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Abstract: We introduce a new framework to analyze shape descriptors that capture the geometric features of an ensemble of point clouds.
Missing: analysing | Show results with:analysing
Shape-sphere: A metric space for analysing time series by their shape. Y Kowsar, M Moshtaghi, E Velloso, JC Bezdek, L Kulik, C Leckie. Information Sciences 582, ...
Apr 5, 2024 · Leckie, “Shape-Sphere: A metric space for analysing time series by their shape,” Information Sciences, vol. 582, pp. 198–214, 2022. [4] ...
Apr 9, 2024 · We introduce a new framework to analyze shape descriptors that capture the geometric features of an ensemble of point clouds.
Missing: Sphere: analysing
Sep 30, 2024 · We introduce a new framework to analyze shape descriptors that capture the geometric features of an ensemble of point clouds.
Missing: Sphere: analysing
We consider the statistical analysis of data on high-dimensional spheres and shape spaces. The work is of particular relevance to applications where.
Missing: analysing | Show results with:analysing
In this work, we define a new metric in the shape and size space, S 2 , which allows us to decompose S 2 into a product space consisting of two components.
Missing: Sphere: analysing