Title :
A decomposition algorithm based on the algebraic perceptron
Author :
Hanselmann, T. ; Noakes, L.
Author_Institution :
Western Australia Univ., Nedlands, WA, Australia
Abstract :
This paper introduces a prototype algorithm for decomposing a binary image into simpler images, such as regions bounded by low-degree polynomials. The algorithm is based on the algebraic perceptron, but can be extended to use other support vector schemes.
Keywords :
learning automata; multilayer perceptrons; pattern recognition; polynomials; algebraic perceptron; binary image; decomposition algorithm; low-degree polynomials; prototype algorithm; support vector schemes; Australia Council; Explosions; Information systems; Intelligent systems; Kernel; Pattern recognition; Polynomials; Prototypes; Support vector machines; Training data;
Conference_Titel :
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN :
1-74052-061-0
DOI :
10.1109/ANZIIS.2001.974088
