{"id":"https://openalex.org/W2105831998","doi":"https://doi.org/10.1109/cvpr.2008.4587357","title":"Semi-Supervised Discriminant Analysis using robust path-based similarity","display_name":"Semi-Supervised Discriminant Analysis using robust path-based similarity","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2105831998","doi":"https://doi.org/10.1109/cvpr.2008.4587357","mag":"2105831998"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5100433691","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0003-1100-4835"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073139380","display_name":"Dit\u2010Yan Yeung","orcid":"https://orcid.org/0000-0003-3716-8125"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dit-Yan Yeung","raw_affiliation_strings":["Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"[Department of Computer Science & Engineering, Hong Kong University of Science and Technology, Hong Kong.]","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.97,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.95476083,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9872000217437744,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.8302373886108398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7485494613647461},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.7276009321212769},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7227244973182678},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.6138789653778076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578255653381348},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5498299598693848},{"id":"https://openalex.org/keywords/kernel-fisher-discriminant-analysis","display_name":"Kernel Fisher discriminant analysis","score":0.5299091339111328},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48826003074645996},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4759742319583893},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4393164813518524},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4274144470691681},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4220723509788513},{"id":"https://openalex.org/keywords/multiple-discriminant-analysis","display_name":"Multiple discriminant analysis","score":0.414675235748291},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38668158650398254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3565256595611572},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.35067781805992126},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.13431459665298462}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.8302373886108398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7485494613647461},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.7276009321212769},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7227244973182678},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.6138789653778076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578255653381348},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5498299598693848},{"id":"https://openalex.org/C181367576","wikidata":"https://www.wikidata.org/wiki/Q6394184","display_name":"Kernel Fisher discriminant analysis","level":4,"score":0.5299091339111328},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48826003074645996},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4759742319583893},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4393164813518524},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4274144470691681},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4220723509788513},{"id":"https://openalex.org/C58596280","wikidata":"https://www.wikidata.org/wiki/Q28324849","display_name":"Multiple discriminant analysis","level":3,"score":0.414675235748291},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38668158650398254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3565256595611572},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.35067781805992126},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.13431459665298462},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cvpr.2008.4587357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.216.7488","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.216.7488","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ust.hk/~dyyeung/paper/pdf/yeung.cvpr2008a.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.3185","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.3185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/017.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-3247","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-3247","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-3247","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-51949087958&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W20027422","https://openalex.org/W92894758","https://openalex.org/W1578099820","https://openalex.org/W1591385104","https://openalex.org/W1985809919","https://openalex.org/W2001619934","https://openalex.org/W2006793117","https://openalex.org/W2046649434","https://openalex.org/W2048679005","https://openalex.org/W2088900896","https://openalex.org/W2097366995","https://openalex.org/W2104290444","https://openalex.org/W2107968230","https://openalex.org/W2113592823","https://openalex.org/W2116551122","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2121921208","https://openalex.org/W2124925761","https://openalex.org/W2135346934","https://openalex.org/W2136504847","https://openalex.org/W2138451337","https://openalex.org/W2139823104","https://openalex.org/W2148694408","https://openalex.org/W2148710715","https://openalex.org/W2154455818","https://openalex.org/W2158103509","https://openalex.org/W2163584563","https://openalex.org/W2166089138","https://openalex.org/W2750378047","https://openalex.org/W2994340921","https://openalex.org/W4238240379","https://openalex.org/W4292023222","https://openalex.org/W6603760306","https://openalex.org/W6674755931","https://openalex.org/W6676348322","https://openalex.org/W6678412491","https://openalex.org/W6680140577","https://openalex.org/W6680434193","https://openalex.org/W6682038724","https://openalex.org/W6684759848"],"related_works":["https://openalex.org/W2141981133","https://openalex.org/W2108146080","https://openalex.org/W2365801610","https://openalex.org/W2501117152","https://openalex.org/W2152937704","https://openalex.org/W2388364488","https://openalex.org/W4247241751","https://openalex.org/W2163911222","https://openalex.org/W2054197572","https://openalex.org/W1481704333"],"abstract_inverted_index":{"Linear":[0],"discriminant":[1,68],"analysis":[2,69],"(LDA),":[3],"which":[4,71],"works":[5],"by":[6],"maximizing":[7],"the":[8,13,84,97,101,106,111,120,128,139,142],"within-class":[9],"similarity":[10,15,93,108],"and":[11,26,76,103],"minimizing":[12],"between-class":[14],"simultaneously,":[16],"is":[17,47,131],"a":[18,61,90],"popular":[19],"dimensionality":[20,63,81,125],"reduction":[21,64,82,126],"technique":[22],"in":[23,53,83,127],"pattern":[24],"recognition":[25,137],"machine":[27],"learning.":[28],"In":[29,56],"real-world":[30],"applications":[31],"when":[32],"labeled":[33,75],"data":[34,52,78,102],"are":[35],"limited,":[36],"LDA":[37],"does":[38],"not":[39],"work":[40],"well.":[41],"Under":[42],"many":[43],"situations,":[44],"however,":[45],"it":[46],"easy":[48],"to":[49,79,95,109],"obtain":[50],"unlabeled":[51,77],"large":[54],"quantities.":[55],"this":[57],"paper,":[58],"we":[59],"propose":[60],"novel":[62],"method,":[65],"called":[66],"semi-supervised":[67,85,129],"(SSDA),":[70],"can":[72],"utilize":[73],"both":[74],"perform":[80],"setting.":[86],"Our":[87],"method":[88,122],"uses":[89,105],"robust":[91],"path-based":[92],"measure":[94],"capture":[96],"manifold":[98],"structure":[99],"of":[100,119,141],"then":[104],"obtained":[107],"maximize":[110],"separability":[112],"between":[113],"different":[114],"classes.":[115],"A":[116],"kernel":[117],"extension":[118],"proposed":[121,143],"for":[123],"nonlinear":[124],"setting":[130],"also":[132],"presented.":[133],"Experiments":[134],"on":[135],"face":[136],"demonstrate":[138],"effectiveness":[140],"method.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}