Artículos de revistas
Quantale-based autoassociative memories with an application to the storage of color images
Registro en:
Pattern Recognition Letters. Elsevier Science Bv, v. 34, n. 14, n. 1589, n. 1601, 2013.
0167-8655
WOS:000323794200004
10.1016/j.patrec.2013.03.034
Autor
Valle, ME
Sussner, P
Institución
Resumen
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) In recent years, lattice computing has emerged as a new paradigm for processing lattice ordered data such as intervals, Type-1 and Type-2 fuzzy sets, vectors, images, symbols, graphs, etc. Here, the word "lattice" refers to a mathematical structure that is defined as a special type of a partially ordered set (poset). In particular, a complete lattice is a poset that contains the infimum as well as the supremum of each of its subsets. In this paper, we introduce the quantale-based associative memory (QAM), where the notion of a quantale is defined as a complete lattice together with a binary operation that commutes with the supremum operator. We show that QAMs can be effectively used for the storage and the recall of color images. (C) 2013 Elsevier B.V. All rights reserved. 34 14 SI 1589 1601 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Fundacao Araucaria Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) CNPq [304240/2011-7, 309608/2009-0] FAPESP [2011/10014-3]