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. Argument based machine learningMartin Možina, 2009, doctoral dissertation Keywords: artificial intelligence, machine learning, background knowledge, domain knowledge, argument based machine learning, ABML, CN2, ABCN2, extreme value corection, computer science, doctoral dissertations, theses Full text (file, 1,15 MB) |
3. Recognizing visual object categories with subspace methods and a learned hierarchical shape vocabularySanja Fidler, 2010, doctoral dissertation Keywords: computer vision, subspace methods, robust classification, visual object class recognition and detection, visual learning, hierarchical representation, part-based representations, compositional hierarchies Full text (file, 9,71 MB) |
4. 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) |
5. Visualization and analysis of the space of prediction modelsMiha Štajdohar, 2012, doctoral dissertation Keywords: vizualizacija informacij, analiza podatkov, vizualno odkrivanje znanja v podatkih, strojno učenje, klasifikacija, uvrščanje, razpoznavanje vzorcev, meta učenje, kombiniranje algoritmov strojnega učenja, risanje omrežij, analiza omrežij, optimizacija ponazoritve omrežij, odkrivanje gruč v omrežjih, information visualization, exploratory data analysis, visual data mining, machine learning, data mining, meta learning, ensemble learning, network layout optimization, network analysis, community deetection in graphs, computer science, doctoral dissertations, theses Full text (file, 39,32 MB) |
6. Text mining using data compression modelsAndrej Bratko, 2012, doctoral dissertation Keywords: text mining, compression, instance selection, active learning, k-means initialization, spam filtering, lexical stress assignment, computer science, doctoral dissertations, theses Full text (file, 7,49 MB) |
7. Ranking by multitask learningLan Žagar, 2014, doctoral dissertation Keywords: ranking, instance ranking, multipartite ranking, binary decomposition, multitask learning, feature learning, machine learning, data mining, artificial intelligence, computer science, doctoral dissertations, theses Full text (file, 1,68 MB) |
8. A Markov random field based autonomous image segmentationAleksandar Dimitriev, 2014, undergraduate thesis Keywords: segmentation, support vector machines, SVM, Markov random field, MRF, unsupervised learning, computer science, computer and information science, diploma Full text (file, 3,19 MB) |
9. Object detection with constellations of keypointsDomen Rački, 2015, master's thesis Keywords: one-shot learning, keypoints, geometry, variance, constellation, object detection, SIFT, GHT, MLESAC, MND, computer science, computer and information science, master's degree Full text (outside link) |
10. Musculoskeletal images classification for detection of fractures using transfer learningIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, original scientific article Keywords: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, medical images, neuroscience Full text (file, 550,23 KB) This document has more files! More... |