{"id":"https://openalex.org/W2028433924","doi":"https://doi.org/10.1109/tip.2009.2035867","title":"Evolutionary Cross-Domain Discriminative Hessian Eigenmaps","display_name":"Evolutionary Cross-Domain Discriminative Hessian Eigenmaps","publication_year":2009,"publication_date":"2009-11-06","ids":{"openalex":"https://openalex.org/W2028433924","doi":"https://doi.org/10.1109/tip.2009.2035867","mag":"2028433924","pmid":"https://pubmed.ncbi.nlm.nih.gov/19887315"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2009.2035867","doi":"https://doi.org/10.1109/tip.2009.2035867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2035867","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Si Si","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Si Si","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong. ssi@cs.hku.hk","Department of Computer Science,  University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong. ssi@cs.hku.hk","institution_ids":["https://openalex.org/I889458895"]},{"raw_affiliation_string":"Department of Computer Science,  University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074103823","display_name":"Dacheng Tao","orcid":"https://orcid.org/0000-0001-7225-5449","observed_orcids":["https://orcid.org/0000-0001-7225-5449","https://orcid.org/0000-0002-5979-578X","https://orcid.org/0000-0002-9209-036X"]},"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":"Dacheng Tao","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, , Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113663825","display_name":"Kwok-Ping Chan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok-Ping Chan","raw_affiliation_strings":["Department of Computer Science, University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.8304,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95863549,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"1075","last_page":"1086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9653000235557556,"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/T10057","display_name":"Face and Expression Recognition","score":0.9653000235557556,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.025599999353289604,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.0032999999821186066,"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/cross-domain-learning","display_name":"cross-domain learning","score":0.8100000023841858},{"id":"https://openalex.org/keywords/evolutionary-search","display_name":"evolutionary search","score":0.4449999928474426},{"id":"https://openalex.org/keywords/margin-maximization","display_name":"margin maximization","score":0.9139999747276306},{"id":"https://openalex.org/keywords/data-manifold","display_name":"data manifold","score":0.7059999704360962},{"id":"https://openalex.org/keywords/web-image-annotation","display_name":"web image annotation","score":0.7839999794960022},{"id":"https://openalex.org/keywords/face-recognition","display_name":"face recognition","score":0.9879999756813049},{"id":"https://openalex.org/keywords/unsupervised-domain-adaptation","display_name":"unsupervised domain adaptation","score":0.5009999871253967}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7937950491905212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706055402755737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6227055788040161},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5371158123016357},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4745807647705078},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4513423442840576},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3408086597919464}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000033","qualifier_name":"anatomy & histology","is_major_topic":false},{"descriptor_ui":"D008322","descriptor_name":"Mammals","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D056667","descriptor_name":"Biometric Identification","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1109/tip.2009.2035867","doi":"https://doi.org/10.1109/tip.2009.2035867","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2009.2035867","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:19887315","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19887315","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.7884","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.7884","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.utexas.edu/%7Essi/CDDHE.pdf","raw_type":"text"},{"id":"pmh:oai:hub.hku.hk:10722/127357","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/127357","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/15226","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/15226","pdf_url":null,"source":{"id":"https://openalex.org/S4377196279","display_name":"OPUS - Open Publications of UTS Scholars (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"mag:2188627369","doi":null,"is_oa":false,"landing_page_url":"https://ieeexplore.ieee.org/iel5/83/5431097/05308445.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327721","display_name":"K. C. Wong Education Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W157468466","https://openalex.org/W637979698","https://openalex.org/W1502638562","https://openalex.org/W1518920839","https://openalex.org/W1551199372","https://openalex.org/W1595132914","https://openalex.org/W1974477236","https://openalex.org/W2000987725","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2007972815","https://openalex.org/W2018184190","https://openalex.org/W2020009149","https://openalex.org/W2053186076","https://openalex.org/W2071128523","https://openalex.org/W2077776048","https://openalex.org/W2097308346","https://openalex.org/W2098020658","https://openalex.org/W2103560185","https://openalex.org/W2104294146","https://openalex.org/W2107298017","https://openalex.org/W2115733720","https://openalex.org/W2117513046","https://openalex.org/W2118020555","https://openalex.org/W2121647436","https://openalex.org/W2124083668","https://openalex.org/W2124231513","https://openalex.org/W2132822263","https://openalex.org/W2136637876","https://openalex.org/W2137758646","https://openalex.org/W2143854982","https://openalex.org/W2145357920","https://openalex.org/W2151103935","https://openalex.org/W2152878561","https://openalex.org/W2152993203","https://openalex.org/W2154872931","https://openalex.org/W2156838815","https://openalex.org/W2156935079","https://openalex.org/W2159248397","https://openalex.org/W2162136823","https://openalex.org/W2163584563","https://openalex.org/W2168720131","https://openalex.org/W2169743536","https://openalex.org/W2913340405","https://openalex.org/W2914746235","https://openalex.org/W4238805501"],"related_works":["https://openalex.org/W7100156542","https://openalex.org/W2159248397","https://openalex.org/W2295102813","https://openalex.org/W2093093856","https://openalex.org/W7074216514","https://openalex.org/W1551199372","https://openalex.org/W2013078015","https://openalex.org/W2322373233","https://openalex.org/W7092181238","https://openalex.org/W3043346077"],"abstract_inverted_index":{"Is":[0],"it":[1],"possible":[2],"to":[3,8,39,78,143,151,162,216,258],"train":[4],"a":[5,56,125,160,244,260],"learning":[6,34],"model":[7],"separate":[9,144,152],"tigers":[10,153],"from":[11],"elks":[12],"when":[13],"we":[14,89,136,158,251],"have":[15,159],"1)":[16],"labeled":[17],"samples":[18,26,105],"of":[19,27,114,120,198,231,263,278],"leopard":[20,184,203],"and":[21,23,29,66,103,118,146,154,156,185,204,220,270,285],"zebra":[22,147,186,205],"2)":[24],"unlabelled":[25],"tiger":[28],"elk":[30],"at":[31],"hand?":[32],"Cross-domain":[33],"algorithms":[35,47],"can":[36,131,148,188,241],"be":[37,49,132,149,189],"used":[38,142],"solve":[40],"the":[41,73,91,108,112,115,121,139,165,176,195,208,217,224,237,276],"above":[42,166],"problem.":[43],"However,":[44],"existing":[45],"cross-domain":[46,74,84,92,281],"cannot":[48],"applied":[50],"for":[51,83,98,128,179,280],"dimension":[52,76,85],"reduction,":[53],"which":[54,212],"plays":[55],"key":[57],"role":[58],"in":[59,173,207],"computer":[60],"vision":[61],"tasks,":[62],"e.g.,":[63],"face":[64,286],"recognition":[65],"web":[67,282],"image":[68,273,283],"annotation.":[69],"This":[70],"paper":[71],"envisions":[72],"discriminative":[75,93,140,177],"reduction":[77],"provide":[79],"an":[80,254],"effective":[81],"solution":[82,262],"reduction.":[86],"In":[87,248],"particular,":[88],"propose":[90],"Hessian":[94],"Eigenmaps":[95],"or":[96],"CDHE":[97,100,174,193,222,232,279],"short.":[99],"connects":[101],"training":[102,116,200],"test":[104,122],"by":[106],"minimizing":[107],"quadratic":[109],"distance":[110],"between":[111],"distribution":[113],"set":[117],"that":[119],"set.":[123],"Therefore,":[124],"common":[126],"subspace":[127],"data":[129,218],"representation":[130],"well":[133,190],"preserved.":[134,191],"Furthermore,":[135],"basically":[137],"expect":[138],"information":[141,178],"leopards":[145],"shared":[150],"elks,":[155],"thus":[157,221],"chance":[161],"duly":[163],"address":[164],"question.":[167],"Margin":[168],"maximization":[169],"principle":[170],"is":[171,213,233],"adopted":[172],"so":[175,236],"separating":[180],"different":[181],"classes":[182],"(e.g.,":[183,202],"here)":[187,206],"Finally,":[192],"encodes":[194],"local":[196,209,226,245],"geometry":[197],"each":[199],"class":[201],"tangent":[210],"space":[211],"locally":[214],"isometric":[215],"manifold":[219],"preserves":[223],"intraclass":[225],"geometry.":[227],"The":[228],"objective":[229],"function":[230],"not":[234],"convex,":[235],"gradient":[238],"descent":[239],"strategy":[240,257],"only":[242],"find":[243,259],"optimal":[246],"solution.":[247],"this":[249],"paper,":[250],"carefully":[252],"design":[253],"evolutionary":[255],"search":[256],"better":[261],"CDHE.":[264],"Experimental":[265],"evidence":[266],"on":[267],"both":[268],"synthetic":[269],"real":[271],"word":[272],"datasets":[274],"demonstrates":[275],"effectiveness":[277],"annotation":[284],"recognition.":[287]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":8}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
