Abstract

We present a procedure that allows the abstraction of elements in concrete symbolic matrices to obtain a more compact representation employing ellipses in order to expose homogeneous regions present in a matrix. We furthermore extend that procedure to allow for generalisations of concrete matrices to an abstract form that enables us to determine the generic type of a given matrix. The presented algorithms employ artificial intelligence techniques such as pattern recognition and constraint solving.

Year of Publication
2012
Journal
Annals of Mathematics and Artificial Intelligence
Volume
64
Start Page
343
Issue
4
Number of Pages
26
Date Published
05/2012
URL
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=B_gi7PMAAAAJ&citation_for_view=B_gi7PMAAAAJ:roLk4NBRz8UC
DOI
10.1007/s10472-012-9299-5
Download citation

Abstracting symbolic matrices

Lecturer of Software Engineering

Citation: Abstracting symbolic matrices. Annals of Mathematics and Artificial Intelligence. 2012;64(4):26. doi:10.1007/s10472-012-9299-5

In: Annals of Mathematics and Artificial Intelligence

Published by: Randa Almomen, Alan P Sexton, Volker Sorge , 2012

Cited by: