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. Ocena zrelostne stopnje poslovnega obveščanja v podjetju Slovenske železniceMaja Kaferle, 2011, undergraduate thesis Keywords: poslovno obveščanje, zrelost poslovnega obveščanja, zrelostni model TDWI, kriteriji za primerjavo, Qlik View, PowerPivot, računalništvo, visokošolski strokovni študij, računalništvo in informatika, diplomske naloge Full text (file, 1,79 MB) |
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5. Learning basic object affordances in a robotic systemBarry Ridge, 2014, doctoral dissertation Keywords: affordances, affordance learning, self-supervised learning, multi-view learning, cross-modal learning, multi-modal learning, feature relevance determination, online learning, cognitive robotics, developmental robotics, doctoral dissertations, theses Full text (file, 17,34 MB) |
6. Pridobivanje, integracija in prikaz podatkov za potrebe cenilcevAleš Koncilja, 2015, undergraduate thesis Keywords: shema podatkov, nepremičnina, Google Street View API, spletni servis, avtomatski prenos podatkov, ETN podatki Full text (file, 1,78 MB) |
7. Vrednotenje emisij prašnih delcev v metalurški industrijiSandra Senčič, 2016, doctoral dissertation Keywords: delci PM10, koncentracija niklja v delcih PM10, integrirano okoljevarstveno dovoljenje, emisije v zrak, celokupne emisije, razpršene in ubežne emisije, modeliranje emisij delcev, programsko orodje Austal View, reverzno disperzno modeliranje Full text (file, 6,49 MB) |
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9. Analysis of the window views of the nearby façadesSamo Drobne, Martina Zbašnik-Senegačnik, Živa Kristl, Ljudmila Koprivec, Alenka Fikfak, 2022, original scientific article Keywords: window view, urban densification, visual aesthetic, perception of view, multidisciplinarity Full text (file, 2,04 MB) This document has more files! More... |
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