{"id":"https://openalex.org/W2117937641","doi":"https://doi.org/10.1142/s0218001412500097","title":"SIMILARITY LEARNING BASED ON SEMI-SUPERVISED GRAPH FOR CLASSIFICATION","display_name":"SIMILARITY LEARNING BASED ON SEMI-SUPERVISED GRAPH FOR CLASSIFICATION","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2117937641","doi":"https://doi.org/10.1142/s0218001412500097","mag":"2117937641"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412500097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412500097","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5115694806","display_name":"Qianying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"QIANYING WANG","raw_affiliation_strings":["School of Mathematics and Computational Science, Sun Yat-Sen University, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science, Sun Yat-Sen University, Guangdong, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079920605","display_name":"Pong C. Yuen","orcid":"https://orcid.org/0000-0002-9343-2202"},"institutions":[{"id":"https://openalex.org/I141568987","display_name":"Hong Kong Baptist University","ror":"https://ror.org/0145fw131","country_code":"HK","type":"education","lineage":["https://openalex.org/I141568987"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"PONG C. YUEN","raw_affiliation_strings":["Department of Computer Science, Hong Kong Baptist University, Hong Kong, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hong Kong Baptist University, Hong Kong, P. R. China","institution_ids":["https://openalex.org/I141568987"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090531329","display_name":"Guocan Feng","orcid":"https://orcid.org/0000-0002-0097-5591"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"GUOCAN FENG","raw_affiliation_strings":["School of Mathematics and Computational Science, Sun Yat-Sen University, Guangdong, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Computational Science, Sun Yat-Sen University, Guangdong, P. R. China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103546889","display_name":"PATRICK S. WANG","orcid":null},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"education","lineage":["https://openalex.org/I111088046"]},{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"PATRICK S. WANG","raw_affiliation_strings":["CCIS, Northeastern University, Boston, USA","ECNU, Shanghai, P. R. China"],"affiliations":[{"raw_affiliation_string":"CCIS, Northeastern University, Boston, USA","institution_ids":["https://openalex.org/I12912129","https://openalex.org/I111088046"]},{"raw_affiliation_string":"ECNU, Shanghai, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5115694806"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12792728,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"26","issue":"04","first_page":"1250009","last_page":"1250009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9975000023841858,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9959999918937683,"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":0.9952999949455261,"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/graph","display_name":"Graph","score":0.663053035736084},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6011523008346558},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5841750502586365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.546606719493866},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47476673126220703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43844518065452576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20747783780097961},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13078591227531433}],"concepts":[{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.663053035736084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6011523008346558},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5841750502586365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.546606719493866},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47476673126220703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43844518065452576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20747783780097961},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13078591227531433}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412500097","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412500097","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W655089096","https://openalex.org/W1479807131","https://openalex.org/W1742512077","https://openalex.org/W1976807648","https://openalex.org/W2001141328","https://openalex.org/W2012844989","https://openalex.org/W2034110104","https://openalex.org/W2034328688","https://openalex.org/W2052005199","https://openalex.org/W2053186076","https://openalex.org/W2096848186","https://openalex.org/W2106053110","https://openalex.org/W2117154949","https://openalex.org/W2127921742","https://openalex.org/W2135346934","https://openalex.org/W2145376937","https://openalex.org/W2146245123","https://openalex.org/W2151483828","https://openalex.org/W2152010828","https://openalex.org/W2162657934","https://openalex.org/W2163097311","https://openalex.org/W2171903410","https://openalex.org/W3120740533","https://openalex.org/W4241361942","https://openalex.org/W4244494905"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Similarity":[0],"measurement":[1],"is":[2,111,130],"crucial":[3],"for":[4,173],"classification.":[5],"Based":[6],"on":[7,31,35],"the":[8,20,32,36,39,44,54,65,69,72,78,82,92,95,115,120,133,145,154,170],"manifold":[9,134],"assumption,":[10],"many":[11],"graph-based":[12],"algorithms":[13,33],"were":[14],"developed.":[15],"Almost":[16],"all":[17],"methods":[18],"follow":[19],"k-rule":[21],"or":[22],"\u03b5-rule":[23],"to":[24],"construct":[25],"a":[26,137],"graph,":[27],"and":[28,48,68,74,142],"then":[29],"focus":[30],"based":[34],"graph.":[37,116],"However,":[38],"graph":[40,79,106],"may":[41],"not":[42,51],"represent":[43],"local":[45,59,66],"structure":[46,60],"well,":[47],"it":[49],"does":[50],"fully":[52],"utilize":[53],"label":[55,85],"information":[56,86],"yet.":[57],"The":[58,109,117,128],"can":[61],"be":[62,88],"presented":[63],"by":[64,81,123,135],"density":[67],"distance":[70],"between":[71],"samples":[73,152,161],"their":[75],"neighbors.":[76],"And":[77],"constructed":[80],"guidance":[83],"of":[84,91,94,119],"will":[87],"better":[89,178],"approximate":[90],"relationship":[93],"input":[96],"data.":[97],"In":[98],"this":[99],"paper,":[100],"we":[101],"propose":[102],"an":[103],"adaptive":[104],"semi-supervised":[105],"constructing":[107,114,136],"method.":[108],"similarity":[110,121,129,159,172],"learned":[112,122],"when":[113],"advantages":[118],"our":[124],"method":[125],"include:":[126],"(1)":[127],"measured":[131],"along":[132],"graph;":[138],"(2)":[139],"nearby":[140],"points":[141,143],"in":[144],"same":[146,155],"cluster":[147],"share":[148],"high":[149],"similarity;":[150],"(3)":[151],"from":[153,162],"class":[156],"have":[157],"higher":[158],"than":[160],"different":[163],"classes.":[164],"Experimental":[165],"results":[166],"show":[167],"that":[168],"using":[169],"proposed":[171],"classification":[174],"task":[175],"could":[176],"get":[177],"recognition":[179],"accuracy.":[180]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
