{"id":"https://openalex.org/W4242704253","doi":"https://doi.org/10.1109/icpr.2004.1334278","title":"Sensor fusion as optimization: maximizing mutual information between sensory signals","display_name":"Sensor fusion as optimization: maximizing mutual information between sensory signals","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4242704253","doi":"https://doi.org/10.1109/icpr.2004.1334278"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334278","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057569852","display_name":"T. Ikeda","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Ikeda","raw_affiliation_strings":["Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049247306","display_name":"H. Ishiguro","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Ishiguro","raw_affiliation_strings":["Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019322365","display_name":"M. Asada","orcid":null},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"M. Asada","raw_affiliation_strings":["Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98285908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"501","last_page":"504 Vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9955999851226807,"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/T10860","display_name":"Speech and Audio Processing","score":0.9955999851226807,"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/T11309","display_name":"Music and Audio Processing","score":0.9836000204086304,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9818999767303467,"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":0.767291784286499},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.7221285700798035},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.6063461899757385},{"id":"https://openalex.org/keywords/sensory-system","display_name":"Sensory system","score":0.5720168948173523},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5708619952201843},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.5517820119857788},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5305821299552917},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5065888166427612},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.497243195772171},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46073266863822937},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4370556175708771},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4180793762207031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3397531509399414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.767291784286499},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7221285700798035},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6063461899757385},{"id":"https://openalex.org/C94487597","wikidata":"https://www.wikidata.org/wiki/Q11101","display_name":"Sensory system","level":2,"score":0.5720168948173523},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5708619952201843},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.5517820119857788},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5305821299552917},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5065888166427612},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.497243195772171},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46073266863822937},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4370556175708771},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4180793762207031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3397531509399414},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334278","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334278","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2063971957","https://openalex.org/W2106488367","https://openalex.org/W2142051650","https://openalex.org/W2154636774","https://openalex.org/W2164899449","https://openalex.org/W4230610536","https://openalex.org/W6684193366"],"related_works":["https://openalex.org/W2466816617","https://openalex.org/W1970834875","https://openalex.org/W842936808","https://openalex.org/W3174028392","https://openalex.org/W2000517284","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Sensor":[0],"fusion":[1,23,60],"is":[2,77],"a":[3,25,40,48,71,74,80],"fundamental":[4],"issue":[5],"in":[6,73],"developing":[7],"intelligent":[8],"systems":[9],"that":[10,43,64],"recognize":[11],"the":[12],"scene":[13,76],"around":[14],"them":[15],"precisely":[16],"and":[17,33,97],"robustly.":[18],"Previous":[19],"approaches":[20],"of":[21,28,51,89],"sensor":[22,29,52],"combined":[24],"different":[26,49],"kind":[27,50],"after":[30],"feature":[31],"extraction":[32],"abstraction":[34,54],"(\"task-level":[35],"fusion\").":[36,56],"This":[37],"paper":[38],"proposes":[39],"new":[41],"approach":[42],"combines":[44],"sensory":[45,59,69],"signals":[46],"from":[47],"before":[53],"(\"signal-level":[55],"By":[57],"formalizing":[58],"as":[61],"an":[62,85],"optimization":[63],"maximizes":[65],"mutual":[66],"information":[67],"between":[68],"signals,":[70],"target":[72],"changing":[75],"detected":[78],"by":[79],"heuristic":[81],"search":[82],"algorithm.":[83],"As":[84],"example,":[86],"experimental":[87],"results":[88],"sound":[90],"source":[91],"detection":[92],"with":[93],"one":[94,98],"video":[95],"camera":[96],"microphone":[99],"are":[100],"shown.":[101]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
