<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-VYT2U482</identifier><date>2021</date><creator>Grm, Klemen</creator><creator>Pevec, Klemen</creator><creator>Štruc, Vitomir</creator><relation>documents/doc/V/URN_NBN_SI_doc-VYT2U482_001.pdf</relation><relation>documents/doc/V/URN_NBN_SI_doc-VYT2U482_001.txt</relation><format format_type="issue">5</format><format format_type="volume">88</format><format format_type="type">article</format><format format_type="extent">str. 227-235</format><identifier identifier_type="ISSN">0013-5852</identifier><identifier identifier_type="COBISSID">100110851</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-VYT2U482</identifier><language>eng</language><publisher publisher_location="Ljubljana">Elektrotehniška zveza Slovenije</publisher><source>Elektrotehniški vestnik</source><rights>InC</rights><subject language_type_id="eng">biometrics</subject><subject language_type_id="slv">biometrija</subject><subject language_type_id="eng">crowd-counting</subject><subject language_type_id="eng">machine learning</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">štetje množic</subject><title>Benchmarking crowd-counting techniques across image characteristics</title></Record>