1. Robustni pristopi k vizualnemu učenju in razpoznavanju na osnovi podprostorovDanijel Skočaj, 2003, doctoral dissertation Keywords: visual learning, robust learning, robust recognition, weighted learning, missing pixels, incremental learning, subspace methods, principal component analysis, appearance-based modeling, view centred approach, computer vision, dissertations Full text (file, 2,64 MB) |
2. Realiability estimation in regression supported with meta-learning and principal component analysisMarija Radović, 2010, undergraduate thesis Keywords: reliability estimates, reliability, prediction error, meta-learning, principal component analysis, predictions, machine learning, computer science, diploma Full text (file, 1,53 MB) |
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4. Metabolic brain pattern in dementia with Lewy bodiesMatej Perovnik, Petra Tomše, Jan Jamšek, Chris Chengke Tang, David Eidelberg, Maja Trošt, 2022, original scientific article Keywords: dementia with Lewy bodies, Alzheimer’s disease, biomarker, metabolic brain imaging, FDG PET, network analysis, scaled subprofile model/principal component analysis, SSM/PCA Full text (file, 2,27 MB) This document has more files! More... |
5. Classification of cattle breeds based on the random forest approachRadovan Kasarda, Nina Moravčíková, Gábor Mészáros, Mojca Simčič, Daniel Zaborski, 2023, original scientific article Keywords: cattle breed, 50K SNP data, random forest, fixation index, principal component analysis Full text (file, 1,42 MB) This document has more files! More... |
6. A systematic literature review on under-frequency load shedding protection using clustering methodsTadej Škrjanc, Rafael Mihalič, Urban Rudež, 2023, review article Keywords: 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 Full text (file, 20,47 MB) This document has more files! More... |
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