31. On methods for merging mixture model components suitable for unsupervised image segmentation tasksBranislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman, 2022, izvirni znanstveni članek Ključne besede: mixture models, parameter estimation, clustering, unsupervised image segmentation Celotno besedilo (datoteka, 3,79 MB) Gradivo ima več datotek! Več... |
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33. Analyte-driven clustering of bio-conjugated magnetic nanoparticlesTilen Potisk, Jurij Sablić, Daniel Svenšek, Elena Sanz-de Diego, Francisco J. Teran, Matej Praprotnik, 2023, izvirni znanstveni članek Ključne besede: biochemistry, nanoparticles, magnetic nanoparticles, proteins, biosensors, clustering, magnetic dynamics, mesoscopic simulation, nanomedicine Celotno besedilo (datoteka, 3,42 MB) Gradivo ima več datotek! Več... |
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35. A systematic literature review on under-frequency load shedding protection using clustering methodsTadej Škrjanc, Rafael Mihalič, Urban Rudež, 2023, pregledni znanstveni članek Ključne besede: literature review, under-frequency load shedding, t-distributed stochastic neighbour embedding, principal component analysis, machine learning, clustering, power system protection, power system stability, blackouts, power system resilience Celotno besedilo (datoteka, 20,47 MB) Gradivo ima več datotek! Več... |
36. Combining color and spatial image features for unsupervised image segmentation with mixture modelling and spectral clusteringBranislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman, 2023, izvirni znanstveni članek Ključne besede: spectral clustering, mixture models, color features, spatial features, image segmentation Celotno besedilo (datoteka, 1,02 MB) Gradivo ima več datotek! Več... |
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