DocumentCode
1120842
Title
A Piecewise Linear Approximation Based on a Statistical Model
Author
Wu, Li-De
Author_Institution
Department of Computer Science, Fudan University, Shanghai, People´´s Republic of China.
Issue
1
fYear
1984
Firstpage
41
Lastpage
45
Abstract
A statistical model is introduced and then, based on it, a piecewise linear approximation algorithm of linear computational complexity is presented. The advantages of the algorithm are proved experimentally in small sample cases and theoretically in the large sample case. The paper is closed with a discussion on some possible extensions.
Keywords
Approximation algorithms; Computational complexity; H infinity control; Image edge detection; Noise shaping; Pattern analysis; Pattern classification; Piecewise linear approximation; Piecewise linear techniques; Shape; Contour analysis; edge detection; piecewise linear approximation; shape analysis; statistical consistency;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.1984.4767473
Filename
4767473
Link To Document