{"id":"https://openalex.org/W2993491338","doi":"https://doi.org/10.1109/ispacs.2018.8923251","title":"A Novel Supervised Heterogenuos Feature Transfer Learning Scheme for ADL Recognition","display_name":"A Novel Supervised Heterogenuos Feature Transfer Learning Scheme for ADL Recognition","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2993491338","doi":"https://doi.org/10.1109/ispacs.2018.8923251","mag":"2993491338"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs.2018.8923251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5059757362","display_name":"Batsergelen Myagmar","orcid":"https://orcid.org/0000-0003-1394-0774"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Batsergelen Myagmar","raw_affiliation_strings":["Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011211804","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-5276-8172"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081710585","display_name":"Shigetomo Kimura","orcid":null},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigetomo Kimura","raw_affiliation_strings":["Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Ibaraki, Japan","institution_ids":["https://openalex.org/I146399215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059757362"],"corresponding_institution_ids":["https://openalex.org/I146399215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.25495779,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9941999912261963,"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/T12676","display_name":"Machine Learning and ELM","score":0.9889000058174133,"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/T10057","display_name":"Face and Expression Recognition","score":0.9685999751091003,"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":0.7608932852745056},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7019477486610413},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6881101727485657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5702341198921204},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5628711581230164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43296223878860474},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4249576926231384},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4139050841331482},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05823493003845215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608932852745056},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7019477486610413},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6881101727485657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5702341198921204},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5628711581230164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43296223878860474},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4249576926231384},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4139050841331482},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05823493003845215},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","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/ispacs.2018.8923251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs.2018.8923251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1601795611","https://openalex.org/W1982696459","https://openalex.org/W2000987725","https://openalex.org/W2015200434","https://openalex.org/W2024249791","https://openalex.org/W2057266281","https://openalex.org/W2096943734","https://openalex.org/W2115403315","https://openalex.org/W2125865219","https://openalex.org/W2155251704","https://openalex.org/W2157989183","https://openalex.org/W2158815628","https://openalex.org/W2165698076","https://openalex.org/W2212660284","https://openalex.org/W2345166825","https://openalex.org/W2404962578","https://openalex.org/W2576279264","https://openalex.org/W2576508622","https://openalex.org/W3148981562","https://openalex.org/W6621328736","https://openalex.org/W6650517644","https://openalex.org/W6678814708","https://openalex.org/W6683032868","https://openalex.org/W6683401423","https://openalex.org/W6688325169","https://openalex.org/W6713739621","https://openalex.org/W6731928418","https://openalex.org/W6732398393"],"related_works":["https://openalex.org/W1975289146","https://openalex.org/W3201126466","https://openalex.org/W2105887828","https://openalex.org/W2122599759","https://openalex.org/W4236520801","https://openalex.org/W4282827391","https://openalex.org/W1537234410","https://openalex.org/W3165580226","https://openalex.org/W2961085424","https://openalex.org/W3147584709"],"abstract_inverted_index":{"In":[0,56],"many":[1],"of":[2,5,9,17,118,136,141],"real-world":[3,124],"applications":[4],"machine":[6],"learning,":[7,34],"one":[8,90],"the":[10,14,46,93,105,111,116,134],"leading":[11],"issues":[12],"is":[13,32],"high":[15],"cost":[16],"obtaining":[18],"labeled":[19],"data":[20,48,82],"for":[21,28,108,139],"learning":[22,65,138],"tasks.":[23],"One":[24],"promising":[25],"research":[26],"area":[27],"solving":[29],"this":[30,57],"problem":[31],"transfer":[33,64,137],"which":[35],"aims":[36],"to":[37,89,101],"learn":[38],"a":[39,50,61],"task":[40],"in":[41,49,84,104,110],"target":[42,112],"domain":[43,77,107],"by":[44,75,121],"utilizing":[45],"training":[47],"different":[51,73,85],"but":[52],"related":[53],"source":[54,106],"domain.":[55,113],"paper,":[58],"we":[59,97],"propose":[60],"novel":[62],"supervised":[63],"algorithm":[66,100],"that":[67,130],"discovers":[68],"good":[69],"feature":[70,79,95],"representations":[71],"across":[72],"domains":[74,86],"deriving":[76],"invariant":[78],"space,":[80,96],"where":[81],"distributions":[83],"are":[87],"close":[88],"another.":[91],"Within":[92],"new":[94],"apply":[98],"classification":[99],"train":[102],"classifiers":[103],"use":[109],"We":[114],"verify":[115],"effectiveness":[117],"our":[119,131],"approach":[120,132],"experimenting":[122],"on":[123],"smart":[125],"home":[126],"datasets":[127],"and":[128],"shows":[129],"extends":[133],"accuracy":[135],"activities":[140],"daily":[142],"living":[143],"(ADL)":[144],"recognition.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}