Results 51 to 60 of about 19,750 (179)
Wasserstein Archetypal Analysis
Applied Mathematics & OptimizationArchetypal analysis is an unsupervised machine learning method that summarizes data using a convex polytope. In its original formulation, for fixed k, the method finds a convex polytope with k vertices, called archetype points, such that the polytope is contained in the convex hull of the data and the mean squared Euclidean distance between the data ...
Katy Craig +3 more
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Probabilistic methods for approximate archetypal analysis
Information and Inference: A Journal of the IMA, 2022 Abstract Archetypal analysis (AA) is an unsupervised learning method for exploratory data analysis. One major challenge that limits the applicability of AA in practice is the inherent computational complexity of the existing algorithms. In this paper, we provide a novel approximation approach to partially address this issue.
Ruijian Han +3 more
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SUnAA: Sparse Unmixing Using Archetypal Analysis
IEEE Geoscience and Remote Sensing Letters, 2023 This paper introduces a new sparse unmixing technique using archetypal analysis (SUnAA). First, we design a new model based on archetypal analysis. We assume that the endmembers of interest are a convex combination of endmembers provided by a spectral library and that the number of endmembers of interest is known.
Rasti, Behnood +3 more
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Traces of unconscious mental processes in introspective reports and physiological responses. [PDF]
PLoS ONE, 2015 Unconscious mental processes have recently started gaining attention in a number of scientific disciplines. One of the theoretical frameworks for describing unconscious processes was introduced by Jung as a part of his model of the psyche. This framework
Leonid Ivonin +5 more
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VERBAL AND NON-VERBAL MEANS OF ARCHETYPAL IMAGES REPRESENTATION IN THE US PRESIDENTIAL CAMPAIGN ADS [PDF]
Alfred Nobel University Journal of PhilologyIn recent years, a considerable upsurge of the interdisciplinary research of the means of suggestive influence, exerted on the electorate through various products of political discourse, has been displayed.
Alla A. Kalyta, Nataliia V. Derkach
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A Survey on Archetypal Analysis
CoRR27 pages, 14 figures, under ...
Aleix Alcacer +3 more
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Functional archetype and archetypoid analysis [PDF]
Computational Statistics & Data Analysis, 2016 Archetype and archetypoid analysis can be extended to functional data. Each function is represented as a mixture of actual observations (functional archetypoids) or functional archetypes, which are a mixture of observations in the data set. Well-known Canadian temperature data are used to illustrate the analysis developed.
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Archetypal Analysis and Structured Sparse Representation for Hyperspectral Anomaly Detection
Remote Sensing, 2021 Hyperspectral images (HSIs) often contain pixels with mixed spectra, which makes it difficult to accurately separate the background signal from the anomaly target signal.
Genping Zhao +4 more
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Archetypal Analysis and its application in bioinformatics
, 2023 reservedL’archetypal analysis (AA) è un metodo statistico che permette di analizzare grandi data set estraendo da essi degli archetipi. Viene utilizzata in molti ambiti, tra cui quello della bioinformatica, principalmente per semplificare l’analisi di ...
PASQUETTO, AURORA
core
Journal of Geophysical Research: Machine Learning and ComputationEnd‐member mixing analysis (EMMA) is widely used to analyze geoscience data for their end‐members and mixing proportions. Many traditional EMMA methods depend on known end‐members, which are sometimes uncertain or unknown. Unsupervised EMMA methods infer
Zanchenling Wang, Tao Wen
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