{"id":"https://openalex.org/W3114927653","doi":"https://doi.org/10.1109/gcce50665.2020.9292060","title":"Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA","display_name":"Estimation of Images Matched with Audio-Induced Brain Activity via Modified DGCCA","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3114927653","doi":"https://doi.org/10.1109/gcce50665.2020.9292060","mag":"3114927653"},"language":"en","primary_location":{"id":"doi:10.1109/gcce50665.2020.9292060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce50665.2020.9292060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)","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/A5100604860","display_name":"Yun Liang","orcid":"https://orcid.org/0000-0002-9076-7998"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yun Liang","raw_affiliation_strings":["Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033215072","display_name":"Keisuke Maeda","orcid":"https://orcid.org/0000-0001-8039-3462"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keisuke Maeda","raw_affiliation_strings":["Office of Institutional Research, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Office of Institutional Research, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009032240","display_name":"Takahiro Ogawa","orcid":"https://orcid.org/0000-0001-5332-8112"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Ogawa","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"last","author":{"id":null,"display_name":"Miki Haseyama","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Miki Haseyama","raw_affiliation_strings":["Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Science and Technology, Hokkaido University, Sapporo, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100604860"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14807271,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"28","issue":null,"first_page":"940","last_page":"941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9667999744415283,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6615148782730103},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6546657681465149},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6170516610145569},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.58412104845047},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.563895583152771},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5536945462226868},{"id":"https://openalex.org/keywords/brain-activity-and-meditation","display_name":"Brain activity and meditation","score":0.538986325263977},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.49458858370780945},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48119789361953735},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4777342677116394},{"id":"https://openalex.org/keywords/pearson-product-moment-correlation-coefficient","display_name":"Pearson product-moment correlation coefficient","score":0.43995341658592224},{"id":"https://openalex.org/keywords/audio-signal","display_name":"Audio signal","score":0.4313493072986603},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.430306077003479},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4205373227596283},{"id":"https://openalex.org/keywords/audio-signal-processing","display_name":"Audio signal processing","score":0.41636621952056885},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36767393350601196},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2367667257785797},{"id":"https://openalex.org/keywords/speech-coding","display_name":"Speech coding","score":0.16864225268363953},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.12015345692634583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09022748470306396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08567839860916138}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6615148782730103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6546657681465149},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6170516610145569},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.58412104845047},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.563895583152771},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5536945462226868},{"id":"https://openalex.org/C120843803","wikidata":"https://www.wikidata.org/wiki/Q4955807","display_name":"Brain activity and meditation","level":3,"score":0.538986325263977},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.49458858370780945},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48119789361953735},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4777342677116394},{"id":"https://openalex.org/C55078378","wikidata":"https://www.wikidata.org/wiki/Q1136628","display_name":"Pearson product-moment correlation coefficient","level":2,"score":0.43995341658592224},{"id":"https://openalex.org/C64922751","wikidata":"https://www.wikidata.org/wiki/Q4650799","display_name":"Audio signal","level":3,"score":0.4313493072986603},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.430306077003479},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4205373227596283},{"id":"https://openalex.org/C127220857","wikidata":"https://www.wikidata.org/wiki/Q2719318","display_name":"Audio signal processing","level":4,"score":0.41636621952056885},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36767393350601196},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2367667257785797},{"id":"https://openalex.org/C13895895","wikidata":"https://www.wikidata.org/wiki/Q3270773","display_name":"Speech coding","level":2,"score":0.16864225268363953},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.12015345692634583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09022748470306396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08567839860916138},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"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/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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":1,"locations":[{"id":"doi:10.1109/gcce50665.2020.9292060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce50665.2020.9292060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W2007226897","https://openalex.org/W2025341678","https://openalex.org/W2108598243","https://openalex.org/W2524365899","https://openalex.org/W2526050071","https://openalex.org/W2593116425","https://openalex.org/W2892111933","https://openalex.org/W2964350391","https://openalex.org/W2970948008","https://openalex.org/W2973909019","https://openalex.org/W4300585208","https://openalex.org/W6639102338","https://openalex.org/W6694260854","https://openalex.org/W6733365019"],"related_works":["https://openalex.org/W2289868279","https://openalex.org/W4231351862","https://openalex.org/W4212794605","https://openalex.org/W4315836293","https://openalex.org/W4243888788","https://openalex.org/W2769884427","https://openalex.org/W2088690926","https://openalex.org/W2098934641","https://openalex.org/W2157165686","https://openalex.org/W2371215329"],"abstract_inverted_index":{"This":[0],"paper":[1,95],"presents":[2],"a":[3,100],"method":[4,102],"that":[5,24],"can":[6],"match":[7],"images":[8,41,77,105],"with":[9,106],"audio-induced":[10,46,107],"brain":[11,47,66,108],"activity":[12,48,67],"via":[13],"modified":[14,69],"deep":[15],"generalized":[16],"canonical":[17],"correlation":[18,28],"analysis":[19],"(modified":[20],"DGCCA).":[21],"Modified":[22],"DGCCA":[23],"contains":[25],"the":[26,56,71,84,87,97],"Pearson":[27],"coefficient":[29],"in":[30],"its":[31,64],"loss":[32],"function":[33],"is":[34,96],"newly":[35],"derived":[36],"for":[37,103],"embedding":[38],"not":[39],"only":[40],"and":[42,63],"audio":[43,62],"but":[44],"also":[45],"calculated":[49],"from":[50],"functional":[51],"near-infrared":[52],"spectroscopy":[53],"(fNIRS)":[54],"into":[55,68],"same":[57],"feature":[58],"space.":[59],"By":[60],"inputting":[61],"corresponding":[65],"DGCCA,":[70],"estimation":[72],"of":[73,86,93,99],"their":[74],"best":[75],"matched":[76],"becomes":[78],"feasible.":[79],"The":[80,90],"experiment":[81],"result":[82],"shows":[83],"effectiveness":[85],"proposed":[88],"method.":[89],"main":[91],"contribution":[92],"this":[94],"introduction":[98],"new":[101],"matching":[104],"activity.":[109]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
