1. Robustni pristopi k vizualnemu učenju in razpoznavanju na osnovi podprostorovDanijel Skočaj, 2003, doktorska disertacija Ključne besede: 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 Celotno besedilo (datoteka, 2,64 MB) |
2. Argument based machine learningMartin Možina, 2009, doktorska disertacija Ključne besede: artificial intelligence, machine learning, background knowledge, domain knowledge, argument based machine learning, ABML, CN2, ABCN2, extreme value corection, computer science, doctoral dissertations, theses Celotno besedilo (datoteka, 1,15 MB) |
3. Recognizing visual object categories with subspace methods and a learned hierarchical shape vocabularySanja Fidler, 2010, doktorska disertacija Ključne besede: computer vision, subspace methods, robust classification, visual object class recognition and detection, visual learning, hierarchical representation, part-based representations, compositional hierarchies Celotno besedilo (datoteka, 9,71 MB) |
4. Realiability estimation in regression supported with meta-learning and principal component analysisMarija Radović, 2010, diplomsko delo Ključne besede: reliability estimates, reliability, prediction error, meta-learning, principal component analysis, predictions, machine learning, computer science, diploma Celotno besedilo (datoteka, 1,53 MB) |
5. Visualization and analysis of the space of prediction modelsMiha Štajdohar, 2012, doktorska disertacija Ključne besede: 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 Celotno besedilo (datoteka, 39,32 MB) |
6. Text mining using data compression modelsAndrej Bratko, 2012, doktorska disertacija Ključne besede: text mining, compression, instance selection, active learning, k-means initialization, spam filtering, lexical stress assignment, computer science, doctoral dissertations, theses Celotno besedilo (datoteka, 7,49 MB) |
7. Ranking by multitask learningLan Žagar, 2014, doktorska disertacija Ključne besede: ranking, instance ranking, multipartite ranking, binary decomposition, multitask learning, feature learning, machine learning, data mining, artificial intelligence, computer science, doctoral dissertations, theses Celotno besedilo (datoteka, 1,68 MB) |
8. A Markov random field based autonomous image segmentationAleksandar Dimitriev, 2014, diplomsko delo Ključne besede: segmentation, support vector machines, SVM, Markov random field, MRF, unsupervised learning, computer science, computer and information science, diploma Celotno besedilo (datoteka, 3,19 MB) |
9. Object detection with constellations of keypointsDomen Rački, 2015, magistrsko delo Ključne besede: one-shot learning, keypoints, geometry, variance, constellation, object detection, SIFT, GHT, MLESAC, MND, computer science, computer and information science, master's degree Celotno besedilo (povezava drugam) |
10. Musculoskeletal images classification for detection of fractures using transfer learningIbrahem Kandel, Mauro Castelli, Aleš Popovič, 2020, izvirni znanstveni članek Ključne besede: transfer learning, computer vision, convolutional neural networks, image classification, musculoskeletal images, deep learning, medical images, neuroscience Celotno besedilo (datoteka, 550,23 KB) Gradivo ima več datotek! Več... |