{"id":"https://openalex.org/W1603404237","doi":"https://doi.org/10.1109/ijcnn.2005.1555873","title":"Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system","display_name":"Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system","publication_year":2006,"publication_date":"2006-01-05","ids":{"openalex":"https://openalex.org/W1603404237","doi":"https://doi.org/10.1109/ijcnn.2005.1555873","mag":"1603404237"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2005.1555873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555873","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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/A5067230860","display_name":"Gail A. Carpenter","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"G.A. Carpenter","raw_affiliation_strings":["Department of Cognitive and Neural System, Boston University School of Medicine, Boston, MA, USA","Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive and Neural System, Boston University School of Medicine, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA","institution_ids":["https://openalex.org/I111088046"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068683953","display_name":"Siegfried Martens","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Martens","raw_affiliation_strings":["Department of Cognitive and Neural System, Boston University School of Medicine, Boston, MA, USA","Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Cognitive and Neural System, Boston University School of Medicine, Boston, MA, USA","institution_ids":["https://openalex.org/I111088046"]},{"raw_affiliation_string":"Dept. of Cognitive & Neural Syst., Boston Univ., MA, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067230860"],"corresponding_institution_ids":["https://openalex.org/I111088046"],"apc_list":null,"apc_paid":null,"fwci":3.6486,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93449477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"452","last_page":"456"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9782999753952026,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.711581826210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6129526495933533},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6099029183387756},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5679365992546082},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.551907479763031},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4503912627696991},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.44422662258148193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42231130599975586},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4189838171005249},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41869646310806274},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.41723668575286865},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3581719398498535},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0898752510547638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.711581826210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6129526495933533},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6099029183387756},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5679365992546082},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.551907479763031},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4503912627696991},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.44422662258148193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42231130599975586},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4189838171005249},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41869646310806274},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.41723668575286865},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3581719398498535},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0898752510547638},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2005.1555873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2005.1555873","pdf_url":null,"source":{"id":"https://openalex.org/S4363609022","display_name":"Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.","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. 2005 IEEE International Joint Conference on Neural Networks, 2005.","raw_type":"proceedings-article"},{"id":"pmh:oai:open.bu.edu:2144/2371","is_oa":false,"landing_page_url":"https://hdl.handle.net/2144/2371","pdf_url":null,"source":{"id":"https://openalex.org/S4306402183","display_name":"OpenBU/Boston University Institutional Repository (Boston University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I111088046","host_organization_name":"Boston University","host_organization_lineage":["https://openalex.org/I111088046"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Technical Report"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332165","display_name":"National Geospatial-Intelligence Agency","ror":"https://ror.org/02k4pxv54"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1501340791","https://openalex.org/W1535847582","https://openalex.org/W1751470192","https://openalex.org/W1979828500","https://openalex.org/W1982610692","https://openalex.org/W2000868189","https://openalex.org/W2015857587","https://openalex.org/W2024731684","https://openalex.org/W2044394856","https://openalex.org/W2046327322","https://openalex.org/W2063430821","https://openalex.org/W2082897792","https://openalex.org/W2086623798","https://openalex.org/W2098452437","https://openalex.org/W2110393297","https://openalex.org/W2131187256","https://openalex.org/W2138014578","https://openalex.org/W2139484975","https://openalex.org/W2144219012","https://openalex.org/W2146990855","https://openalex.org/W2156061353","https://openalex.org/W2166280719","https://openalex.org/W2166559705","https://openalex.org/W2168786400","https://openalex.org/W2170684284","https://openalex.org/W2287077337","https://openalex.org/W4252706856","https://openalex.org/W6628750762","https://openalex.org/W6996596559"],"related_works":["https://openalex.org/W3088112989","https://openalex.org/W2392793229","https://openalex.org/W2048373740","https://openalex.org/W2348824220","https://openalex.org/W2136123817","https://openalex.org/W2608696184","https://openalex.org/W3028432408","https://openalex.org/W2166350757","https://openalex.org/W2769041751","https://openalex.org/W2388683953"],"abstract_inverted_index":{"Classifying":[0],"terrain":[1],"or":[2,49,105],"objects":[3],"may":[4],"require":[5],"the":[6,61,66,102,106,126],"resolution":[7],"of":[8],"conflicting":[9],"information":[10,62],"from":[11,21],"sensors":[12,69],"working":[13],"at":[14],"different":[15,24],"times,":[16],"locations,":[17],"and":[18,20,26,70,76,90],"scales,":[19],"users":[22],"with":[23,117],"goals":[25],"situations.":[27],"Current":[28],"fusion":[29,63],"methods":[30,53],"can":[31],"help":[32],"resolve":[33],"such":[34],"inconsistencies,":[35],"as":[36,78],"when":[37,79],"evidence":[38,80],"variously":[39],"suggests":[40,81],"that":[41,82],"an":[42,50,83,118],"object":[43,84],"is":[44,85,115,122],"a":[45,47,57,86,88],"car,":[46,87],"truck,":[48],"airplane.":[51],"The":[52,109],"described":[54],"here":[55],"define":[56],"complementary":[58],"approach":[59],"to":[60,98,101,125],"problem,":[64],"considering":[65],"case":[67],"where":[68],"sources":[71],"are":[72,96],"both":[73],"nominally":[74],"inconsistent":[75],"reliable,":[77],"vehicle,":[89],"man-made.":[91],"Underlying":[92],"relationships":[93],"among":[94],"classes":[95],"assumed":[97],"be":[99],"unknown":[100],"automated":[103],"system":[104],"human":[107],"user.":[108],"ARTMAP":[110],"self-organizing":[111],"rule":[112],"discovery":[113],"procedure":[114],"illustrated":[116],"image":[119,127],"example,":[120],"but":[121],"not":[123],"limited":[124],"domain.":[128]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}