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Segmented FPCA for hyperspectral image classification
2017 3rd International Conference on Electrical Information and Communication Technology (EICT), 2017Remote sensing hyperspectral image (HSI) contains significant information of ground surface which is actually acquired as a set of immense narrow and contiguous spectral bands. Proper classification approach can only give us the required knowledge from the hundreds of bands of HSI.
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Comparing FPCA Based on Conditional Quantile Functions and FPCA Based on Conditional Mean Function
Springer Proceedings in Mathematics and Statistics, 2019In this work functional principal component analysis (FPCA) based on quantile functions is proposed as an alternative to the classical approach, based on the functional mean. Quantile regression characterizes the conditional distribution of a response variable and, in particular, some features like the tails behavior; smoothing splines have also been ...
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