Translated Poisson mixture model for stratification learning

DOI10.1007/S11263-008-0144-6zbMath1477.68265OpenAlexW2040549971MaRDI QIDQ847468

Gregory Randall, Guillermo Sapiro, Gloria Haro

Publication date: 16 February 2010

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: http://purl.umn.edu/5384

zbMATH Keywords

clusteringdensity estimationmixture modelsmanifold learningdimension estimationstratification learningtranslated Poisson

Mathematics Subject Classification ID

Statistics on manifolds (62R30) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Machine vision and scene understanding (68T45)

Related Items (8)

IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation ⋮ Intrinsic dimension estimation: relevant techniques and a benchmark framework ⋮ Multiscale geometric methods for data sets. I: Multiscale SVD, noise and curvature. ⋮ Poisson-Gamma mixture processes and applications to premium calculation ⋮ A new approach to two-view motion segmentation using global dimension minimization ⋮ Foundations of a multi-way spectral clustering framework for hybrid linear modeling ⋮ Unnamed Item ⋮ Unnamed Item

Cites Work

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• Another interpretation of the EM algorithm for mixture distributions
• Constrained clustering and Kohonen self-organizing maps
• Shape dimension and approximation from samples
• Topological persistence and simplification
• Diffusion maps
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Geodesic Entropic Graphs for Dimension and Entropy Estimation in Manifold Learning

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