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Prototypal analysis is introduced to overcome two shortcomings of archetypal analysis: its sensitivity to outliers and its non-locality, which reduces its applicability as a learning tool.
The use of multiple measurements in taxonomic problems
Ronald A Fisher · 1936
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The fast gauss transform
Leslie Greengard and John Strain · 1991
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Archetypal analysis
Adele Cutler and Leo Breiman · 1994
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Archetypal analysis of spatio-temporal dynamics
Emily Stone and Adele Cutler · 1996
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A class of probability metrics and its statistical applications
Lev B Klebanov · 2002
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Learning with kernels: support vector machines, regularization, optimization, and beyond
Bernhard Schölkopf and Alexander J Smola · 2002
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Exploring archetypal dynamics of pattern formation in cellular flames
Emily Stone · 2002
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Archetypal analysis of galaxy spectra
Ben HP Chan, Daniel A Mitchell, and Lawrence E Cram · 2003
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Archetypal analysis: A new way to segment markets based on extreme individuals
Shan Li, PZ Wang, JJ Louviere, and Richard Carson · 2003
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Improved fast gauss transform and efficient kernel density estimation
Changjiang Yang, Ramani Duraiswami, Nail A Gumerov, and Larry Davis · 2003
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Reproducing kernel Hilbert spaces in probability and statistics
Alain Berlinet and Christine Thomas-Agnan · 2004
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Kernel methods for pattern analysis
John Shawe-Taylor and Nello Cristianini · 2004
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Archetypal analysis for interval data in marketing research
Maria Rosaria D’Esposito, Francesco Palumbo, and Giancarlo Ragozini · 2006
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A kernel method for the two-sample-problem
Arthur Gretton, Karsten M Borgwardt, Malte Rasch, Bernhard Schölkopf, and Alex J Smola · 2006
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Matrix factorization methods: Application to thermal ndt/e
S Marinetti, L Finesso, and E Marsilio · 2006
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Archetypal analysis for data driven benchmarking
Giovanni Porzio, Giancarlo Ragozini, and Domenico Vistocco · 2006
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Toward the human genotope
Peter Huggins, Lior Pachter, and Bernd Sturmfels · 2007
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A hilbert space embedding for distributions
Alex Smola, Arthur Gretton, Le Song, and Bernhard Schölkopf · 2007
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Kernel methods in machine learning
Thomas Hofmann, Bernhard Schölkopf, and Alexander J Smola · 2008
Cited alongside, same era.
On the use of archetypes as benchmarks
Giovanni C Porzio, Giancarlo Ragozini, and Domenico Vistocco · 2008
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Making archetypal analysis practical
Christian Bauckhage and Christian Thurau · 2009
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Archetypal images in large photo collections
Christian Thurau and Christian Bauckhage · 2009
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Hilbert space embeddings and metrics on probability measures
Bharath K Sriperumbudur, Arthur Gretton, Kenji Fukumizu, Bernhard Schölkopf, and Gert RG Lanckriet · 2010
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Action recognition by learning discriminative key poses
Shahzad Cheema, Abdalrahman Eweiwi, Christian Thurau, and Christian Bauckhage · 2011
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Archetypal scientists
Christian Seiler and Klaus Wohlrabe · 2013
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Archetypical motion: Supervised game behavior learning with archetypal analysis
Rafet Sifa and Christian Bauckhage · 2013
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Energy statistics: A class of statistics based on distances
Gábor J Székely and Maria L Rizzo · 2013
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Archetypal analysis of diverse pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways
Juliane Charlotte Thøgersen, Morten Mørup, Søren Damkiær, Søren Molin, and Lars Jelsbak · 2013
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Face recognition via archetype hull ranking
Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang · 2013
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Kernel archetypal analysis for clustering web search frequency time series
Christian Bauckhage and Kasra Manshaei · 2014
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Introducing archetypal analysis for player classification in games
C Thurau and A Drachen · 2011
Cited alongside, same era.
Guns, swords and data: Clustering of player behavior in computer games in the wild
Anders Drachen, Rafet Sifa, Christian Bauckhage, and Christian Thurau · 2012
Cited alongside, same era.
Performance profiles based on archetypal athletes
Manuel JA Eugster · 2012
Cited alongside, same era.
Archetypal analysis for machine learning and data mining
Morten Mørup and Lars Kai Hansen · 2012
Cited alongside, same era.
Learning from distributions via support measure machines
Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, and Bernhard Schölkopf · 2012
Cited alongside, same era.
Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis
Christoph Römer, Mirwaes Wahabzada, Agim Ballvora, Francisco Pinto, Micol Rossini, Cinzia Panigada, Jan Behmann, Jens Léon, Christian Thurau, Christian Bauckhage, et al · 2012
Cited alongside, same era.
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Fast and robust archetypal analysis for representation learning
Yuansi Chen, Julien Mairal, and Zaid Harchaoui · 2014
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The playtime principle: Large-scale cross-games interest modeling
Rafet Sifa, Christian Bauckhage, and Anders Drachen · 2014
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Two-stage sampled learning theory on distributions
Zoltán Szabó, Arthur Gretton, Barnabás Póczos, and Bharath Sriperumbudur · 2015
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Multiple endmembers based unmixing using archetypal analysis
Genping Zhao, Xiuping Jia, and Chunhui Zhao · 2015
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Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny
Anders Drachen, James Green, Chester Gray, Elie Harik, Patty Lu, Rafet Sifa, and Diego Klabjan · 2016
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Transition-aware human activity recognition using smartphones
Jorge-L Reyes-Ortiz, Luca Oneto, Albert Sama, Xavier Parra, and Davide Anguita · 2016
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Energy distance
Maria L Rizzo and Gábor J Székely · 2016
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Learning theory for distribution regression
Zoltán Szabó, Bharath Sriperumbudur, Barnabás Póczos, and Arthur Gretton · 2016
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Bilateral filtering abundance features for multilayer unmixing
Genping Zhao and Chunhui Zhao · 2016
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Kernel mean embedding of distributions: A review and beyond
Krikamol Muandet, Kenji Fukumizu, Bharath Sriperumbudur, Bernhard Schölkopf, et al · 2017
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Air quality system data mart [internet database]
US Environmental Protection Agency · 2017
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