<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-PRAX0X1Z</identifier><date>2018</date><creator>Babič, Matej</creator><creator>Kumar, Dookhitram</creator><creator>Skala, Karolj</creator><creator>Šturm, Roman</creator><relation>documents/doc/P/URN_NBN_SI_doc-PRAX0X1Z_001.pdf</relation><relation>documents/doc/P/URN_NBN_SI_doc-PRAX0X1Z_001.txt</relation><format format_type="issue">6</format><format format_type="volume">64</format><format format_type="type">article</format><format format_type="extent">str. 393-400</format><identifier identifier_type="ISSN">0039-2480</identifier><identifier identifier_type="COBISSID_HOST">31476007</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-PRAX0X1Z</identifier><language>eng</language><publisher>Zveza strojnih inženirjev in tehnikov Slovenije etc.</publisher><source>Strojniški vestnik</source><rights>InC</rights><title>New hybrid system of machine learning and statistical pattern recognition for a 3D visibility network</title></Record>