Curve Registration Method for Maximizing Correlation Coefficient Based on Non-uniform Sampling
ZHANG Wenkai1, WANG Wenjian1,2, JIANG Gaoxia1
1.School of Computer and Information Technology, Shanxi University, Taiyuan 030006 2.Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan 030006
Abstract In functional data analysis, two kinds of non-uniform sampling methods for curve registration are put forward to improve the efficiency. Slope based non-uniform sampling (SBNS) method samples according to the slope size of the function curve. Arc length based non-uniform sampling (ALBNS) method samples evenly in the arc length of function curve. Two non-uniform sampling methods sample according to characteristics of curves instead of sampling evenly in the time axis. Thus, the defects of uniform sampling method caused by the number and the location distribution of sample points are overcome and the effect of curve registration is improved. The experimental results on simulated data and real data show that the above two kinds of methods are better than uniform sampling method in time efficiency and the effect of curve registration.
About author:: (ZHANG Wenkai， born in 1990， master student. His research interests include analysis and application of functional data.)(Wang Wenjian (Corresponding author)， born in 1968，Ph.D.， professor. Her research interests include machine learning， computing intelligence， image processing， etc.)(Jiang Gaoxia， born in 1987， Ph.D. candidate. His research interests include functional data analysis and machine learning.)
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2016, Vol. 29 
