{"id":"https://openalex.org/W4293152969","doi":"https://doi.org/10.1109/tcsvt.2022.3197746","title":"Class-Oriented Self-Learning Graph Embedding for Image Compact Representation","display_name":"Class-Oriented Self-Learning Graph Embedding for Image Compact Representation","publication_year":2022,"publication_date":"2022-08-10","ids":{"openalex":"https://openalex.org/W4293152969","doi":"https://doi.org/10.1109/tcsvt.2022.3197746"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2022.3197746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3197746","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5035651182","display_name":"Liangchen Hu","orcid":"https://orcid.org/0000-0002-6871-1533"},"institutions":[{"id":"https://openalex.org/I4472751","display_name":"Anhui Normal University","ror":"https://ror.org/05fsfvw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4472751"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liangchen Hu","raw_affiliation_strings":["School of Computer and Information, Anhui Normal University, Wuhu, China"],"raw_orcid":"https://orcid.org/0000-0002-6871-1533","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Anhui Normal University, Wuhu, China","institution_ids":["https://openalex.org/I4472751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016605937","display_name":"Zhenlei Dai","orcid":"https://orcid.org/0000-0002-6369-9408"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlei Dai","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6369-9408","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550588","display_name":"Lei Tian","orcid":"https://orcid.org/0000-0001-7052-0907"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tian","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7052-0907","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100414787","display_name":"Wensheng Zhang","orcid":"https://orcid.org/0000-0003-0752-941X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Zhang","raw_affiliation_strings":["Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0752-941X","affiliations":[{"raw_affiliation_string":"Research Center of Precision Sensing and Control, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5035651182"],"corresponding_institution_ids":["https://openalex.org/I4472751"],"apc_list":null,"apc_paid":null,"fwci":0.8324,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77720243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"33","issue":"1","first_page":"74","last_page":"87"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9987999796867371,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9948999881744385,"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":0.994700014591217,"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/embedding","display_name":"Embedding","score":0.7045533657073975},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.5992089509963989},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5866944193840027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5739578008651733},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5413162708282471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5072736144065857},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4885600507259369},{"id":"https://openalex.org/keywords/graph-embedding","display_name":"Graph embedding","score":0.486503541469574},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4839461147785187},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.450979620218277},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4459279477596283},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4158138632774353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3867510259151459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36206912994384766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22474145889282227},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.10353881120681763}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7045533657073975},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.5992089509963989},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5866944193840027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5739578008651733},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5413162708282471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5072736144065857},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4885600507259369},{"id":"https://openalex.org/C75564084","wikidata":"https://www.wikidata.org/wiki/Q5597085","display_name":"Graph embedding","level":3,"score":0.486503541469574},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4839461147785187},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.450979620218277},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4459279477596283},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4158138632774353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3867510259151459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36206912994384766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22474145889282227},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.10353881120681763}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2022.3197746","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2022.3197746","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G3359621390","display_name":null,"funder_award_id":"2020AAA0109600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5914912638","display_name":null,"funder_award_id":"62173328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8919716214","display_name":null,"funder_award_id":"62106266","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1166921479","https://openalex.org/W1510147702","https://openalex.org/W1578196132","https://openalex.org/W1644402181","https://openalex.org/W1661693223","https://openalex.org/W1954735160","https://openalex.org/W1963932623","https://openalex.org/W1965555277","https://openalex.org/W1968865278","https://openalex.org/W1978259121","https://openalex.org/W1979089718","https://openalex.org/W1981791883","https://openalex.org/W1993962865","https://openalex.org/W1996232089","https://openalex.org/W2004427069","https://openalex.org/W2006793117","https://openalex.org/W2022463363","https://openalex.org/W2024194293","https://openalex.org/W2055245755","https://openalex.org/W2055427303","https://openalex.org/W2070127246","https://openalex.org/W2092516120","https://openalex.org/W2100659887","https://openalex.org/W2117553576","https://openalex.org/W2120453412","https://openalex.org/W2123921160","https://openalex.org/W2143103810","https://openalex.org/W2156718197","https://openalex.org/W2162915993","https://openalex.org/W2166049352","https://openalex.org/W2257217404","https://openalex.org/W2525375495","https://openalex.org/W2576167394","https://openalex.org/W2790640759","https://openalex.org/W2891774563","https://openalex.org/W2899734633","https://openalex.org/W2907461997","https://openalex.org/W2923769473","https://openalex.org/W2933946304","https://openalex.org/W2940742415","https://openalex.org/W2941129248","https://openalex.org/W2963667873","https://openalex.org/W2971182726","https://openalex.org/W2987602849","https://openalex.org/W2992062578","https://openalex.org/W2997973367","https://openalex.org/W2999905431","https://openalex.org/W3004545648","https://openalex.org/W3014771378","https://openalex.org/W3025592035","https://openalex.org/W3043178985","https://openalex.org/W3122838772","https://openalex.org/W3148981562","https://openalex.org/W3174808908","https://openalex.org/W4292363360","https://openalex.org/W6634500723","https://openalex.org/W6676189307","https://openalex.org/W6682644385","https://openalex.org/W6699364125","https://openalex.org/W6714133674"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2061273563","https://openalex.org/W4287763734","https://openalex.org/W3035116611","https://openalex.org/W3094605108","https://openalex.org/W3202006693","https://openalex.org/W4284975088","https://openalex.org/W3196889888","https://openalex.org/W4253967402"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,34,46,49,86,104,111,159,188],"the":[3,23,32,47,62,73,84,95,102,151,156,186,189],"learning":[4,17,125,148,164],"ways":[5],"for":[6],"inducing":[7],"efficient":[8],"image":[9],"compact":[10,75,141],"representation,":[11],"graph":[12,28,147],"embedding":[13,29,161],"(GE)":[14],"based":[15],"manifold":[16],"has":[18,78],"been":[19],"widely":[20],"developed":[21],"over":[22],"last":[24],"two":[25],"decades.":[26],"Good":[27],"depends":[30],"on":[31,180],"construction":[33],"graphs":[35],"concerning":[36],"intra-class":[37],"compactness":[38],"and":[39],"inter-class":[40,80,157],"separability,":[41],"which":[42,135],"are":[43,58],"crucial":[44],"indicators":[45],"effectiveness":[48,187],"a":[50,67,124,138,165],"model":[51],"in":[52,108,134,192],"generating":[53],"discriminative":[54],"features.":[55],"Unsupervised":[56],"approaches":[57],"designed":[59],"to":[60,83,175,194],"reveal":[61],"data":[63,153],"structure":[64],"information":[65],"from":[66],"local":[68],"or":[69],"global":[70],"perspective,":[71],"but":[72,100],"resulting":[74,107],"representation":[76,142],"often":[77],"poorly":[79],"margins":[81],"due":[82],"lack":[85],"label":[87],"information.":[88],"Moreover,":[89],"supervised":[90],"techniques":[91],"only":[92],"consider":[93],"enhancing":[94],"adjacency":[96],"affinity":[97,103],"within":[98],"classes,":[99,106],"exclude":[101],"different":[105,115],"inadequate":[109],"capture":[110],"marginal":[112],"structures":[113],"between":[114],"class":[116],"distributions.":[117],"To":[118],"overcome":[119],"these":[120],"issues,":[121],"we":[122,136],"propose":[123],"framework":[126,170],"that":[127],"implements":[128],"Class-Oriented":[129],"Self-Learning":[130],"Graph":[131],"Embedding":[132],"(COSLGE),":[133],"achieve":[137],"flexible":[139],"low-dimensional":[140,160],"by":[143,162],"imposing":[144],"an":[145],"adaptive":[146],"process":[149],"across":[150],"entire":[152],"while":[154],"examining":[155],"separability":[158],"jointly":[163],"linear":[166],"classifier.":[167],"Besides,":[168],"our":[169],"can":[171],"be":[172],"easily":[173],"extended":[174],"semi-supervised":[176],"scenarios.":[177],"Extensive":[178],"experiments":[179],"several":[181],"widely-used":[182],"benchmark":[183],"databases":[184],"demonstrate":[185],"proposed":[190],"method":[191],"comparison":[193],"some":[195],"state-of-the-art":[196],"approaches.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
