A Distribution-Dependent Mumford–Shah Model for Unsupervised Hyperspectral Image Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3227061
Abstract: Hyperspectral images provide a rich representation of the underlying spectrum for each pixel, allowing for a pixelwise classification/segmentation into different classes. As the acquisition of labeled training data is very time-consuming, unsupervised methods become crucial… read more here.
Keywords: distribution dependent; mumford shah; segmentation; hyperspectral image ... See more keywords
Distribution dependent SDEs driven by additive continuous noise
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DOI: 10.1214/22-ejp756
Abstract: We study distribution dependent stochastic differential equation driven by a continuous process, without any specification on its law, following the approach initiated in [16]. We provide several criteria for existence and uniqueness of solutions which… read more here.
Keywords: sdes driven; driven additive; dependent sdes; distribution ... See more keywords
Distribution-Dependent Weighted Union Bound †
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DOI: 10.3390/e23010101
Abstract: In this paper, we deal with the classical Statistical Learning Theory’s problem of bounding, with high probability, the true risk R(h) of a hypothesis h chosen from a set H of m hypotheses. The Union… read more here.
Keywords: dependent weighted; union bound; distribution dependent; distribution ... See more keywords