Results 11 to 20 of about 106,645 (270)
Archetypal analysis of “Cinderella” [PDF]
SHS Web of Conferences, 2021 Psychologists often use the name of the protagonist of the fairy tale “Cinderella”, which is famous thanks to the brothers Grimm and Charles Perrault, for a sacrificial girl prone to dissociation, illusions, and waiting for a prince.
Mirskaya Liudmila A. +1 more
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Weighted and Robust Archetypal Analysis [PDF]
Computational Statistics & Data Analysis, 2010 Archetypal analysis represents observations in a multivariate data set as convex combinations of a few extremal points lying on the boundary of the convex hull.
Eugster, Manuel J. A., Leisch, Friedrich
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Temporal archetypal analysis for action segmentation [PDF]
2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), 2017 Unsupervised learning of invariant representations that efficiently describe high-dimensional time series has several applications in dynamic visual data analysis.
Fotiadou, Eftychia +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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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
europepmc +7 more sources
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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