Filogenetska klasifikacija temeljena na slikama

master's thesis

• Title (english): Image-Based Phylogenetic Classification
• Author: Vinko Kodžoman
• Mentor: Mirjana Domazet-Lošo (mentor)
• Committee member: Mirjana Domazet-Lošo (predsjednik povjerenstva)
• Committee member: Ivica Botički (član povjerenstva)
• Committee member: Ljiljana Brkić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-04, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U okviru ovoga diplomskog rada potrebno je istražiti problem filogenetske klasifikacije temeljene na slikama. Potrebno je proučiti postojeću literaturu, razviti algoritam koji će se temeljiti na strojnom učenju te implementirati rješenje u programskom jeziku Python korištenjem postojećih radnih okvira. Program će biti primijenjen na skupom javno dostupnih slika.

Abstract (english)

The goal of this thesis is to study the problem of phylogenetic classification based on image data. The work will entail a survey of the related literature, development of the algorithm based on machine learning, and the implementation in the Python programming language using existing frameworks. The solution will be applied to the collection of publicly available images.

• Keywords: Filogenetika; Strojno učenje; Klasifikacija
• Keywords (english): Phylogenetics; Machine learning; Classification
• Language: english
• URN:NBN: urn:nbn:hr:168:579300
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 21:37:06