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Robust Extrema Features for Time-Series Data Analysis
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Pramod K. Vemulapalli,Vishal Monga,Sean N. Brennan
Issue Date:June 2013
pp. 1464-1479
The extraction of robust features for comparing and analyzing time series is a fundamentally important problem. Research efforts in this area encompass dimensionality reduction using popular signal analysis tools such as the discrete Fourier and wavelet tr...