<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-P03QNS03</identifier><date>2025</date><creator>Chen, Desheng</creator><creator>Zhang, Sifang</creator><relation>documents/doc/P/URN_NBN_SI_doc-P03QNS03_001.pdf</relation><relation>documents/doc/P/URN_NBN_SI_doc-P03QNS03_001.txt</relation><format format_type="issue">12</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 77-89</format><identifier identifier_type="DOI">10.31449/inf.v49i12.7041</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">240338947</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-P03QNS03</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">borilne veščine</subject><subject language_type_id="slv">ekstrakcija značilnosti</subject><subject language_type_id="slv">globoko učenje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Deep learning-based involution feature extraction for human posture recognition in martial arts</title></Record>