When a statistical methods paper is submitted to a journal for publication, examples in which the method is applied to real data are highly encouraged by many journals and in some cases are explicitly ...
Robust hypothesis testing in statistical classification addresses the challenge of deciding which of several categories best explains observed data when models are uncertain, incomplete or ...
A statistical classification or nomenclature is an exhaustive and structured set of mutually exclusive and well-described categories, often presented in a hierarchy that is reflected by the numeric or ...
A statistical classification or nomenclature is an exhaustive and structured set of mutually exclusive and well-described categories, often presented in a hierarchy that is reflected by the numeric or ...
Abstract: The collaborative classification of dual-frequency polarimetric synthetic aperture radar (PolSAR) images is a meaningful but also challenging research. The effect of regional consistency on ...
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