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pro vyhledávání: '"Gual-Arnau, Ximo"'
We introduce a novel exploratory technique, termed biarchetype analysis, which extends archetype analysis to simultaneously identify archetypes of both observations and features. This innovative unsupervised machine learning tool aims to represent ob
Externí odkaz:
http://arxiv.org/abs/2311.11153
Autor:
Gual-Arnau, Ximo
Publikováno v:
In Differential Geometry and its Applications December 2023 91
Publikováno v:
In Pattern Recognition December 2023 144
The aim of this paper is to model an ordinal response variable in terms of vector-valued functional data included on a vector-valued RKHS. In particular, we focus on the vector-valued RKHS obtained when a geometrical object (body) is characterized by
Externí odkaz:
http://arxiv.org/abs/1803.03019
This paper focuses on the application of Discriminant Analysis to a set of geometrical objects (bodies) characterized by currents. A current is a relevant mathematical object to model geometrical data, like hypersurfaces, through integration of vecto
Externí odkaz:
http://arxiv.org/abs/1707.02147
Akademický článek
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Object classification according to their shape and size is of key importance in many scientific fields. This work focuses on the case where the size and shape of an object is characterized by a current}. A current is a mathematical object which has b
Externí odkaz:
http://arxiv.org/abs/1606.01746
Autor:
Gual-Arnau, Ximo, Cruz-Orive, Luis M.
Publikováno v:
Advances in Applied Probability, 2002 Sep 01. 34(3), 469-483.
Externí odkaz:
https://www.jstor.org/stable/1428241
Autor:
Gual-Arnau, Ximo, Cruz-Orive, Luis M.
Publikováno v:
Advances in Applied Probability, 2000 Sep 01. 32(3), 628-647.
Externí odkaz:
https://www.jstor.org/stable/1428404