<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-FCJKEBRN</identifier><date>2025</date><creator>Aradea</creator><relation>documents/doc/F/URN_NBN_SI_doc-FCJKEBRN_001.pdf</relation><relation>documents/doc/F/URN_NBN_SI_doc-FCJKEBRN_001.txt</relation><format format_type="issue">14</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 157-170</format><identifier identifier_type="DOI">10.31449/inf.v49i14.7272</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241702659</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-FCJKEBRN</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">prepoznavanje vzorcev</subject><subject language_type_id="slv">računalniški vid</subject><subject language_type_id="slv">samoprilagajanje</subject><subject language_type_id="slv">samoučenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Self-learning model for pattern recognition in vision system based on adaptive kernel</title></Record>