Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Aghayan, Reza"'
Autor:
Aghayan, Reza
This is the second paper devoted to the numerical version of Signature-inverse Theorem in terms of the underlying joint invariants. Signature Theorem and its Inverse guarantee any application of differential invariant signature curves to the invarian
Externí odkaz:
http://arxiv.org/abs/2006.03759
Autor:
Aghayan, Reza
Geometric invariants play a vital role in the field of object recognition where the objects of interest are affected by a group of transformations. However, designing robust algorithms that are tolerant to noise and image occlusion remains still an o
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587414
Autor:
Aghayan, Reza, Nadjafikhah, Mehdi
This paper is devoted to the development and applications of some (new) basic concepts in Lie theory, both from `computational" and "observability" viewpoint. We specify set of all "G-equivariant" maps from a given Lie group G to the underlying manif
Externí odkaz:
http://arxiv.org/abs/1201.3741
Autor:
Aghayan, Reza
We will have a deep look at the set of all $G$-equivariant maps from the factor Lie group $G$ to the under the action manifold $M$, both from "computational" and "observability" viewpoint. We will also be looking for the existence of "unique" structu
Externí odkaz:
http://arxiv.org/abs/1009.5528
Autor:
Nadjafikhah, Mehdi, Aghayan, Reza
In this paper we describe the geometry of distributions by their symmetries, and present a simplified proof of the Frobenius theorem and some related corollaries. Then, we study the geometry of solutions of $F-$Gordon equation; A PDE which appears in
Externí odkaz:
http://arxiv.org/abs/0908.3602
Autor:
Aghayan, Reza1 (AUTHOR) Reza.Aghayan@utsa.edu
Publikováno v:
Theory of Computing Systems. Feb2022, Vol. 66 Issue 1, p1-37. 37p.
Autor:
Aghayan, Reza1 eza.aghayan@utsa.edu
Publikováno v:
Advanced Mathematical Models & Applications. 2021, Vol. 6 Issue 3, p238-251. 14p.
Autor:
Aghayan, Reza1 (AUTHOR) Reza.Aghayan@utsa.edu
Publikováno v:
Machine Vision & Applications. Feb2021, Vol. 32 Issue 1, p1-18. 18p.
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