Results 121 to 130 of about 1,173 (164)

Segmented FPCA for hyperspectral image classification

2017 3rd International Conference on Electrical Information and Communication Technology (EICT), 2017
Remote 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.
M A Mamun
exaly   +2 more sources

Comparing FPCA Based on Conditional Quantile Functions and FPCA Based on Conditional Mean Function

Springer Proceedings in Mathematics and Statistics, 2019
In 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 ...
Antonella Plaia
exaly   +2 more sources

FPCA-II Concluding Remarks

Thirty Years of Astronomical Discovery With UKIRT, 2011
We live in interesting times. Modern technology is turning much of our world upside-down and inside-out; this is especially true in the realm of communication. This conference, the latest in a long series organized by Andre Heck and his collaborators, has made it clear where we are, how we got here, and (so far as one can see into the future) where we ...
Michael J Kurtz, Kurtz Michael J
exaly   +2 more sources

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