{"id":"https://openalex.org/W2018326367","doi":"https://doi.org/10.1109/tsmcc.2012.2192727","title":"Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation","display_name":"Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation","publication_year":2013,"publication_date":"2013-02-15","ids":{"openalex":"https://openalex.org/W2018326367","doi":"https://doi.org/10.1109/tsmcc.2012.2192727","mag":"2018326367"},"language":"en","primary_location":{"id":"doi:10.1109/tsmcc.2012.2192727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2012.2192727","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-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/A5100460385","display_name":"Jiwen Lu","orcid":"https://orcid.org/0000-0002-6121-5529"},"institutions":[{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore","Adv. Digital Sci. Center, Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore","institution_ids":["https://openalex.org/I4210108443"]},{"raw_affiliation_string":"Adv. Digital Sci. Center, Singapore, Singapore","institution_ids":["https://openalex.org/I4210108443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103379503","display_name":"Yap\u2010Peng Tan","orcid":"https://orcid.org/0000-0002-0645-9109"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yap-Peng Tan","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.6389,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":{"value":0.98575378,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"43","issue":"2","first_page":"249","last_page":"258"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9997000098228455,"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/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9988999962806702,"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/pose","display_name":"Pose","score":0.8243491649627686},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7445803284645081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6491352319717407},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6408320665359497},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.6067116856575012},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5729587078094482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5522058010101318},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5072502493858337},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4673595428466797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39858362078666687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3884306848049164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3200216293334961},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.1418490707874298}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8243491649627686},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7445803284645081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6491352319717407},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6408320665359497},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.6067116856575012},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5729587078094482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5522058010101318},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5072502493858337},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4673595428466797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39858362078666687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3884306848049164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3200216293334961},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.1418490707874298},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmcc.2012.2192727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmcc.2012.2192727","pdf_url":null,"source":{"id":"https://openalex.org/S2476799526","display_name":"IEEE Transactions on Human-Machine Systems","issn_l":"2168-2291","issn":["2168-2291","2168-2305"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Human-Machine Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1545140005","https://openalex.org/W1576613474","https://openalex.org/W1967979390","https://openalex.org/W1977543168","https://openalex.org/W1979856851","https://openalex.org/W2001141328","https://openalex.org/W2007188496","https://openalex.org/W2024853191","https://openalex.org/W2026486079","https://openalex.org/W2039140324","https://openalex.org/W2053186076","https://openalex.org/W2058226207","https://openalex.org/W2063424920","https://openalex.org/W2095469431","https://openalex.org/W2096101171","https://openalex.org/W2097308346","https://openalex.org/W2102331633","https://openalex.org/W2103250033","https://openalex.org/W2104294146","https://openalex.org/W2105026179","https://openalex.org/W2106488920","https://openalex.org/W2117152910","https://openalex.org/W2117553576","https://openalex.org/W2118664399","https://openalex.org/W2118755929","https://openalex.org/W2120372495","https://openalex.org/W2120509725","https://openalex.org/W2121647436","https://openalex.org/W2121939926","https://openalex.org/W2123115309","https://openalex.org/W2126680226","https://openalex.org/W2133887027","https://openalex.org/W2138451337","https://openalex.org/W2141712375","https://openalex.org/W2143071151","https://openalex.org/W2145808141","https://openalex.org/W2147278565","https://openalex.org/W2149382413","https://openalex.org/W2149516292","https://openalex.org/W2151458682","https://openalex.org/W2152993203","https://openalex.org/W2156312950","https://openalex.org/W2157267563","https://openalex.org/W2158162711","https://openalex.org/W2163516157","https://openalex.org/W2163626514","https://openalex.org/W2170858770","https://openalex.org/W2537685535","https://openalex.org/W3148981562","https://openalex.org/W6634500723","https://openalex.org/W6675450563","https://openalex.org/W6675955514","https://openalex.org/W6685372642"],"related_works":["https://openalex.org/W117517268","https://openalex.org/W1855212908","https://openalex.org/W2383239174","https://openalex.org/W2362829263","https://openalex.org/W3159953198","https://openalex.org/W2380477800","https://openalex.org/W2347974653","https://openalex.org/W2766342722","https://openalex.org/W2380996235","https://openalex.org/W2573981081"],"abstract_inverted_index":{"We":[0],"propose":[1,71],"in":[2,29],"this":[3],"paper":[4],"an":[5,72],"ordinary":[6,44,73],"preserving":[7,74],"manifold":[8,23,75],"analysis":[9,76],"approach":[10,77],"for":[11,63,140],"human":[12,150],"age":[13,147,151],"and":[14,32,103,134,153],"head":[15,154],"pose":[16,155],"estimation.":[17,142],"While":[18],"a":[19,80,121],"large":[20,110],"number":[21],"of":[22,34,46,50,130,138,163],"learning":[24],"algorithms":[25],"have":[26,36,52],"been":[27,37,54],"proposed":[28,165],"the":[30,43,47,59,85,128,135,161],"literature":[31],"some":[33],"them":[35],"successfully":[38],"applied":[39],"to":[40,57,78,97,126,159],"age/pose":[41,48,93,111,141],"estimation,":[42,148,152],"characteristics":[45],"information":[49],"samples":[51,86,139],"not":[53],"fully":[55],"exploited":[56],"learn":[58,120],"low-dimensional":[60,81,132],"discriminative":[61],"features":[62,133],"these":[64,131],"estimation":[65,156],"tasks.":[66],"To":[67],"address":[68],"this,":[69],"we":[70,119],"seek":[79],"subspace":[82],"such":[83],"that":[84],"with":[87,105],"similar":[88],"label":[89,107],"values":[90,108,137],"(i.e.,":[91,109],"small":[92],"difference)":[94,112],"are":[95,157],"projected":[96],"be":[98],"as":[99,101,113,115],"close":[100],"possible":[102],"those":[104],"dissimilar":[106],"far":[114],"possible,":[116],"simultaneously.":[117],"Subsequently,":[118],"multiple":[122],"linear":[123],"regression":[124],"model":[125],"uncover":[127],"relation":[129],"ground-truth":[136],"Experimental":[143],"results":[144],"on":[145],"facial":[146],"gait-based":[149],"presented":[158],"demonstrate":[160],"efficacy":[162],"our":[164],"approach.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":15},{"year":2014,"cited_by_count":14},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
