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Prediction Method for Time Series of Imagery Data in Eigen Space
International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 2 Issue 1, 2013.
Abstract: Prediction method for time series of imagery data on eigen space is proposed. Although the conventional prediction method is defined on the real world space and time domains, the proposed method is defined on eigen space. Prediction accuracy of the proposed method is supposed to be superior to the conventional methods. Through experiments with time series of satellite imagery data, validity of the proposed method is confirmed.
Keywords: prediction method; eigen value decomposition; eigen space; time series analysis.
Kohei Arai. “Prediction Method for Time Series of Imagery Data in Eigen Space”. International Journal of Advanced Research in Artificial Intelligence (IJARAI) 2.1 (2013). http://dx.doi.org/10.14569/IJARAI.2013.020102
@article{Arai2013,
title = {Prediction Method for Time Series of Imagery Data in Eigen Space},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2013.020102},
url = {http://dx.doi.org/10.14569/IJARAI.2013.020102},
year = {2013},
publisher = {The Science and Information Organization},
volume = {2},
number = {1},
author = {Kohei Arai}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
