A Piecewise Linear Approximation Based on a Statistical Model
Lide Wu · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1984
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.