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• W2051208899 abstract "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." @default.
• W2051208899 created "2016-06-24" @default.
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• W2051208899 date "2013-10-01" @default.
• W2051208899 modified "2023-10-01" @default.
• W2051208899 title "Quantale-based autoassociative memories with an application to the storage of color images" @default.
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• W2051208899 doi "https://doi.org/10.1016/j.patrec.2013.03.034" @default.
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