{"id":"https://openalex.org/W2605078686","doi":"https://doi.org/10.1007/978-3-319-54427-4_29","title":"Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning","display_name":"Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2605078686","doi":"https://doi.org/10.1007/978-3-319-54427-4_29","mag":"2605078686"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-54427-4_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-54427-4_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5031685667","display_name":"Hiroshi Fukui","orcid":"https://orcid.org/0000-0002-7880-635X"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroshi Fukui","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062009349","display_name":"Takayoshi Yamashita","orcid":"https://orcid.org/0000-0003-2631-9856"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayoshi Yamashita","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043058100","display_name":"Yuu Kato","orcid":null},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuu Kato","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057360958","display_name":"Ryo Matsui","orcid":null},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Matsui","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055922202","display_name":"Tetsuya Ogata","orcid":"https://orcid.org/0000-0001-7015-0379"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Ogata","raw_affiliation_strings":["Abeja Inc., 4-1-20, Toranomon, Minato-ku, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Abeja Inc., 4-1-20, Toranomon, Minato-ku, Tokyo, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102888926","display_name":"Yuji Yamauchi","orcid":"https://orcid.org/0000-0002-6573-5855"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuji Yamauchi","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011810133","display_name":"Hironobu Fujiyoshi","orcid":"https://orcid.org/0000-0001-7391-4725"},"institutions":[{"id":"https://openalex.org/I184937672","display_name":"Chubu University","ror":"https://ror.org/02sps0775","country_code":"JP","type":"education","lineage":["https://openalex.org/I184937672"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hironobu Fujiyoshi","raw_affiliation_strings":["Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Chubu University, 1200, Matuoto-cho, Kasugai, Aichi, Japan","institution_ids":["https://openalex.org/I184937672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5031685667"],"corresponding_institution_ids":["https://openalex.org/I184937672"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.0007,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74553322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"392","last_page":"406"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.853397011756897},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6627968549728394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6559436321258545},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5949937105178833},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5415023565292358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5301195979118347},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47625041007995605},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4743413031101227},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.46795690059661865},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4507737159729004},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4479934573173523},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4140716791152954},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10750645399093628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08458155393600464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.853397011756897},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6627968549728394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6559436321258545},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5949937105178833},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5415023565292358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5301195979118347},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47625041007995605},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4743413031101227},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.46795690059661865},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4507737159729004},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4479934573173523},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4140716791152954},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10750645399093628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08458155393600464},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-54427-4_29","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-54427-4_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","score":0.6200000047683716,"display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W254879503","https://openalex.org/W1498436455","https://openalex.org/W1545425562","https://openalex.org/W1896424170","https://openalex.org/W1905153633","https://openalex.org/W1955369839","https://openalex.org/W1965804146","https://openalex.org/W1976948919","https://openalex.org/W1982368100","https://openalex.org/W2040013760","https://openalex.org/W2065180801","https://openalex.org/W2129210471","https://openalex.org/W2135132101","https://openalex.org/W2147278565","https://openalex.org/W2152826865","https://openalex.org/W2153110463","https://openalex.org/W2163605009","https://openalex.org/W2169931729","https://openalex.org/W2172803778","https://openalex.org/W2179234838","https://openalex.org/W2244579295","https://openalex.org/W2249960609","https://openalex.org/W2293198102","https://openalex.org/W2296259459","https://openalex.org/W2465108587","https://openalex.org/W2963377935","https://openalex.org/W4312531999","https://openalex.org/W6600005967","https://openalex.org/W6810423267"],"related_works":["https://openalex.org/W3021272668","https://openalex.org/W2803309984","https://openalex.org/W2963872552","https://openalex.org/W2237537322","https://openalex.org/W2000663367","https://openalex.org/W2118155885","https://openalex.org/W2585070004","https://openalex.org/W2950678851","https://openalex.org/W2914746235","https://openalex.org/W4301248618"],"abstract_inverted_index":null,"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
