Matrix decomposition and data reduction

Autor:	Morten Dæhlen, Per Gunnar Holm
Rok vydání:	1995
Předmět:	General Engineering Block matrix Single-entry matrix Computer Graphics and Computer-Aided Design LU decomposition Matrix decomposition law.invention Human-Computer Interaction Matrix (mathematics) law Singular value decomposition Logical matrix Algorithm Mathematics Sparse matrix
Zdroj:	Computers & Graphics. 19:203-214
ISSN:	0097-8493
DOI:	10.1016/0097-8493(94)00144-n
Popis:	In this paper, we present a class of decomposition techniques for data represented as matrices. The main idea is to transform a matrix into a sequence of components in order to represent and analyze the matrix in a multi-resolution setting. Data reduction is obtained by maintaining only entries of each matrix component that give significant contributions to the reconstruction of the original matrix. Important features of the matrix decomposition strategies are illustrated by several examples using a selection of digital images.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::f9c3df313ab14fee71d04eabc0ee24bc https://doi.org/10.1016/0097-8493(94)00144-n Zobrazit plný text záznamu Full Text from ScienceDirect