{"id":"https://openalex.org/W1998264788","doi":"https://doi.org/10.1109/icosc.2015.7050820","title":"FC-MST: Feature correlation maximum spanning tree for multimedia concept classification","display_name":"FC-MST: Feature correlation maximum spanning tree for multimedia concept classification","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W1998264788","doi":"https://doi.org/10.1109/icosc.2015.7050820","mag":"1998264788"},"language":"en","primary_location":{"id":"doi:10.1109/icosc.2015.7050820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2015.7050820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113488150","display_name":"Hsin-Yu Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hsin-Yu Ha","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","School of Computing and Information Sciences, Florida International University, Miami, 33199, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, 33199, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049219173","display_name":"Shu\u2010Ching Chen","orcid":"https://orcid.org/0000-0001-9209-390X"},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shu-Ching Chen","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University, Miami, FL, USA","School of Computing and Information Sciences, Florida International University, Miami, 33199, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, FL, USA","institution_ids":["https://openalex.org/I19700959"]},{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University, Miami, 33199, USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100337209","display_name":"Min Chen","orcid":"https://orcid.org/0000-0002-0960-4447"},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["Computing and Software Systems, School of STEM University of Washington, Bothell, WA, USA","Computing and Software Systems, School of STEM, University of Washington Bothell, 98011, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computing and Software Systems, School of STEM University of Washington, Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]},{"raw_affiliation_string":"Computing and Software Systems, School of STEM, University of Washington Bothell, 98011, USA","institution_ids":["https://openalex.org/I4210138624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6097,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90378975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"276","last_page":"283"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7755724191665649},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.75689297914505},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7212493419647217},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6184805035591125},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.593729555606842},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5180866122245789},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5116212964057922},{"id":"https://openalex.org/keywords/spanning-tree","display_name":"Spanning tree","score":0.5048640370368958},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46890130639076233},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.454174280166626},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44467663764953613},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4307863712310791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38957104086875916},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38055145740509033},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10262429714202881}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7755724191665649},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.75689297914505},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7212493419647217},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6184805035591125},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.593729555606842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5180866122245789},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5116212964057922},{"id":"https://openalex.org/C64331007","wikidata":"https://www.wikidata.org/wiki/Q831672","display_name":"Spanning tree","level":2,"score":0.5048640370368958},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46890130639076233},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.454174280166626},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44467663764953613},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4307863712310791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38957104086875916},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38055145740509033},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10262429714202881},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icosc.2015.7050820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icosc.2015.7050820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing (IEEE ICSC 2015)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.704.8400","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.704.8400","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://users.cis.fiu.edu/%7Echens/PDF/ICSC15_FC-MST.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W12820539","https://openalex.org/W1495061682","https://openalex.org/W1509450267","https://openalex.org/W1549887922","https://openalex.org/W1563088657","https://openalex.org/W1570713908","https://openalex.org/W1661871015","https://openalex.org/W1977307069","https://openalex.org/W1978824904","https://openalex.org/W1996828489","https://openalex.org/W2007972815","https://openalex.org/W2017337590","https://openalex.org/W2017927472","https://openalex.org/W2023450550","https://openalex.org/W2027893113","https://openalex.org/W2032427901","https://openalex.org/W2040884411","https://openalex.org/W2044628302","https://openalex.org/W2049192244","https://openalex.org/W2055271333","https://openalex.org/W2063978378","https://openalex.org/W2064390925","https://openalex.org/W2068833644","https://openalex.org/W2098818042","https://openalex.org/W2099322651","https://openalex.org/W2103333826","https://openalex.org/W2107255621","https://openalex.org/W2107618751","https://openalex.org/W2114899398","https://openalex.org/W2124225314","https://openalex.org/W2125055259","https://openalex.org/W2125950426","https://openalex.org/W2126185804","https://openalex.org/W2127658298","https://openalex.org/W2135346934","https://openalex.org/W2140763925","https://openalex.org/W2148633389","https://openalex.org/W2148661353","https://openalex.org/W2149620660","https://openalex.org/W2160471445","https://openalex.org/W2538688051","https://openalex.org/W2998216295","https://openalex.org/W3138807513","https://openalex.org/W4249215961","https://openalex.org/W4285719527","https://openalex.org/W6629652716","https://openalex.org/W6632852417","https://openalex.org/W6636914306","https://openalex.org/W6674952872","https://openalex.org/W6675969814","https://openalex.org/W6678356451","https://openalex.org/W6678992168","https://openalex.org/W6681822384","https://openalex.org/W6728946187","https://openalex.org/W6792319920","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2185469136","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526"],"abstract_inverted_index":{"Feature":[0],"selection":[1,35,56,135],"is":[2,113],"an":[3],"actively":[4],"researched":[5],"topic":[6],"in":[7,15,40,137],"varies":[8],"domains,":[9],"mainly":[10],"owing":[11],"to":[12,73],"its":[13],"ability":[14],"greatly":[16],"reducing":[17],"feature":[18,34,55,64,134],"space":[19],"and":[20,84,104,124],"associated":[21],"computational":[22],"time.":[23],"Given":[24],"the":[25,79,89,98,125],"explosive":[26],"growth":[27],"of":[28,91],"high-dimensional":[29],"multimedia":[30,42,119],"data,":[31],"a":[32,53,116],"well-designed":[33],"method":[36,57,71,112],"can":[37],"be":[38],"leveraged":[39],"classifying":[41],"contents":[43],"into":[44],"high-level":[45],"semantic":[46,94],"concepts.":[47,95],"In":[48],"this":[49],"paper":[50],"we":[51,100],"present":[52],"multi-phase":[54],"using":[58],"maximum":[59],"spanning":[60],"tree":[61],"built":[62],"from":[63],"correlation":[65,80],"among":[66],"multiple":[67],"modalities":[68],"(FC-MST).":[69],"The":[70,110],"aims":[72],"first":[74],"thoroughly":[75],"explore":[76],"not":[77],"only":[78],"between":[81],"features":[82,92,103],"within":[83],"across":[85],"modalities,":[86],"but":[87],"also":[88],"association":[90],"towards":[93],"Secondly,":[96],"with":[97],"correlations,":[99],"identify":[101],"important":[102,140],"exclude":[105],"redundant":[106],"or":[107],"irrelevant":[108],"ones.":[109],"proposed":[111],"tested":[114],"on":[115],"well-known":[117,133],"benchmark":[118],"data":[120],"set":[121],"called":[122],"NUS-WIDE":[123],"experimental":[126],"results":[127],"show":[128],"that":[129],"it":[130],"outperforms":[131],"four":[132],"methods":[136],"all":[138],"three":[139],"measurement":[141],"metrics.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}