Results 11 to 20 of about 106,736 (290)
Learning Extremal Representations with Deep Archetypal Analysis. [PDF]
Int J Comput Vis, 2021 AbstractArchetypes represent extreme manifestations of a population with respect to specific characteristic traits or features. In linear feature space, archetypes approximate the data convex hull allowing all data points to be expressed as convex mixtures of archetypes. As mixing of archetypes is performed directly on the input data, linear Archetypal
Keller SM +4 more
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Archetypal analysis of COVID-19 in Montana, USA, March 13, 2020 to April 26, 2022. [PDF]
PLoS ONEInfectious disease data can often involve complex spatial patterns intermixed with temporal trends. Archetypal Analysis is a method to mine complex spatio-temporal data, and can be used to discover the dynamics of spatial patterns.
Emily Stone +2 more
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Assorted archetypal tissue analysis: A breakthrough in oncopathology
Journal of Dr. NTR University of Health Sciences, 2017 Assorted Archetypal Tissue Analysis, commonly known as Tissue Microarray (TMA) technology is a highly throughput research tool that has greatly facilitated and accelerated tissue analysis by in-situ technologies.
Sushmita Swain +3 more
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From Spider-Man to Hero — Archetypal Analysis in R [PDF]
Journal of Statistical Software, 2009 Archetypal analysis has the aim to represent observations in a multivariate data setas convex combinations of extremal points. This approach was introduced by Cutler andBreiman (1994); they dened the concrete problem, laid out the theoretical ...
Manuel J. A. Eugster, Friedrich Leisch
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Chrysalis: decoding tissue compartments in spatial transcriptomics with archetypal analysis [PDF]
Communications BiologyDissecting tissue compartments in spatial transcriptomics (ST) remains challenging due to limited spatial resolution and dependence on single-cell reference data.
Demeter Túrós +4 more
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Probabilistic Archetypal Analysis [PDF]
Machine learning, 2015 Archetypal analysis represents a set of observations as convex combinations of pure patterns, or archetypes. The original geometric formulation of finding archetypes by approximating the convex hull of the observations assumes them to be real valued. This, unfortunately, is not compatible with many practical situations.
Eugster, Manuel, J. A., Seth, Sohan
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Consistency of Archetypal Analysis
SIAM Journal on Mathematics of Data Science, 2021 Archetypal analysis is an unsupervised learning method that uses a convex polytope to summarize multivariate data. 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 distance between the data and the polytope is minimal. In
Braxton Osting +3 more
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Near-Convex Archetypal Analysis [PDF]
IEEE Signal Processing Letters, 2020 Nonnegative matrix factorization (NMF) is a widely used linear dimensionality reduction technique for nonnegative data. NMF requires that each data point is approximated by a convex combination of basis elements. Archetypal analysis (AA), also referred to as convex NMF, is a well-known NMF variant imposing that the basis elements are themselves convex ...
Pierre De Handschutter +3 more
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Modeling Patterns in Map Use Contexts and Mobile Map Design Usability
ISPRS International Journal of Geo-Information, 2021 Mobile map applications are increasingly used in various aspects of our lives, leading to an increase in different map use situations and, therefore, map use contexts.
Mona Bartling +4 more
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MULTIMODAL UKRAINIAN BRAND NARRATIVE: SEMIOTICS, STRUCTURE, ARCHETYPES [PDF]
Вісник університету ім. А. Нобеля. Серія Філологічні науки, 2023 The aim of the study is to identify the structural-narrative, semiotic, and archetypal properties of the Ukrainian multimodal narrative as a semiotic space of secondary signification and social mythologization. The data for analysis include slogans and
Nataliia K. Kravchenko +1 more
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