{"id":"https://openalex.org/W2904176920","doi":"https://doi.org/10.1609/aaai.v33i01.33014057","title":"Similarity Learning via Kernel Preserving Embedding","display_name":"Similarity Learning via Kernel Preserving Embedding","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904176920","doi":"https://doi.org/10.1609/aaai.v33i01.33014057","mag":"2904176920"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33014057","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014057","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4301/4179","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4301/4179","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052459660","display_name":"Zhao Kang","orcid":"https://orcid.org/0000-0003-4103-0954"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhao Kang","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070710782","display_name":"Yiwei Lu","orcid":"https://orcid.org/0000-0001-7872-3186"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Lu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014459618","display_name":"Yuanzhang Su","orcid":"https://orcid.org/0000-0002-8454-7366"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhang Su","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330875","display_name":"Changsheng Li","orcid":"https://orcid.org/0000-0001-9789-7632"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changsheng Li","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051227924","display_name":"Zenglin Xu","orcid":"https://orcid.org/0000-0001-5550-6461"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglin Xu","raw_affiliation_strings":["University of Electronic Science and Technology of China"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052459660"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":2.572,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.91777003,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"4057","last_page":"4064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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":0.9958000183105469,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9735000133514404,"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":0.9714999794960022,"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/similarity-learning","display_name":"Similarity learning","score":0.6817646026611328},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6690118312835693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6600054502487183},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6574877500534058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5760440826416016},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.57286536693573},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5697338581085205},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5589566826820374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5012209415435791},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4989509582519531},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.4927251636981964},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.4790812134742737},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.4240814447402954},{"id":"https://openalex.org/keywords/multiple-kernel-learning","display_name":"Multiple kernel learning","score":0.4240304231643677},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42375653982162476},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.42263075709342957},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4192754626274109},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38689351081848145},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.3468547463417053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2248046100139618},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20653295516967773},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.17474710941314697}],"concepts":[{"id":"https://openalex.org/C2779597229","wikidata":"https://www.wikidata.org/wiki/Q17146505","display_name":"Similarity learning","level":3,"score":0.6817646026611328},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6690118312835693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6600054502487183},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6574877500534058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5760440826416016},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.57286536693573},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5697338581085205},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5589566826820374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5012209415435791},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4989509582519531},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4927251636981964},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.4790812134742737},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.4240814447402954},{"id":"https://openalex.org/C2776879701","wikidata":"https://www.wikidata.org/wiki/Q25048660","display_name":"Multiple kernel learning","level":4,"score":0.4240304231643677},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42375653982162476},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.42263075709342957},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4192754626274109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38689351081848145},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.3468547463417053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2248046100139618},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20653295516967773},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.17474710941314697},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33014057","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014057","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4301/4179","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33014057","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33014057","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4301/4179","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G1144733499","display_name":null,"funder_award_id":"ZYGX2017KYQD177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1773827187","display_name":null,"funder_award_id":"61572111","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2376276132","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3214994103","display_name":null,"funder_award_id":"A1098531023601041","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G482918739","display_name":null,"funder_award_id":"30170237","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5261953040","display_name":null,"funder_award_id":"A1098531023601041","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5405695928","display_name":null,"funder_award_id":"ZYGX2017KYQD177","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G5629788722","display_name":null,"funder_award_id":"61572111","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G688784428","display_name":null,"funder_award_id":"61572111","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6958874487","display_name":null,"funder_award_id":"ZYGX2017KYQD177","funder_id":"https://openalex.org/F4320323292","funder_display_name":"University of Electronic Science and Technology of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7467354482","display_name":null,"funder_award_id":"A1098531023601041","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7820223330","display_name":null,"funder_award_id":"6157211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8136517102","display_name":null,"funder_award_id":"A03017023701012","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G820376222","display_name":null,"funder_award_id":"61806045","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8632594853","display_name":null,"funder_award_id":"GX2017","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8951484681","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323292","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904176920.pdf","grobid_xml":"https://content.openalex.org/works/W2904176920.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W42769906","https://openalex.org/W1915109052","https://openalex.org/W1979089718","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2001141328","https://openalex.org/W2044080809","https://openalex.org/W2053186076","https://openalex.org/W2073161435","https://openalex.org/W2106053110","https://openalex.org/W2108588392","https://openalex.org/W2117866949","https://openalex.org/W2129812935","https://openalex.org/W2130556178","https://openalex.org/W2132379769","https://openalex.org/W2132467081","https://openalex.org/W2154872931","https://openalex.org/W2165874743","https://openalex.org/W2187089797","https://openalex.org/W2325658686","https://openalex.org/W2406581873","https://openalex.org/W2548608220","https://openalex.org/W2571899125","https://openalex.org/W2604969734","https://openalex.org/W2616803684","https://openalex.org/W2622869899","https://openalex.org/W2712360410","https://openalex.org/W2740503509","https://openalex.org/W2742098698","https://openalex.org/W2745351268","https://openalex.org/W2765771013","https://openalex.org/W2808668159","https://openalex.org/W2893830906","https://openalex.org/W2963051348","https://openalex.org/W2963089385","https://openalex.org/W6679945242","https://openalex.org/W6732395776","https://openalex.org/W6738979081","https://openalex.org/W6742683448","https://openalex.org/W6742835037","https://openalex.org/W6745981979","https://openalex.org/W6755168613"],"related_works":["https://openalex.org/W198500362","https://openalex.org/W2125244435","https://openalex.org/W2140758628","https://openalex.org/W2828181497","https://openalex.org/W2068555361","https://openalex.org/W2103553152","https://openalex.org/W2372732865","https://openalex.org/W4308064704","https://openalex.org/W2012237712","https://openalex.org/W2904176920"],"abstract_inverted_index":{"Data":[0],"similarity":[1,15,25,86,93],"is":[2,66,76,141],"a":[3,91,146,164],"key":[4],"concept":[5],"in":[6,37],"many":[7,153],"data-driven":[8],"applications.":[9],"Many":[10],"algorithms":[11],"are":[12],"sensitive":[13],"to":[14,53,78,123,132,169],"measures.":[16],"To":[17],"tackle":[18],"this":[19,70],"fundamental":[20,149],"problem,":[21],"automatically":[22],"learning":[23,94],"of":[24,101,109,167],"information":[26],"from":[27],"data":[28,57,111,172],"via":[29],"self-expression":[30],"has":[31],"been":[32],"developed":[33],"and":[34,58,144,148],"successfully":[35],"applied":[36],"various":[38],"models,":[39],"such":[40],"as":[41,120],"low-rank":[42],"representation,":[43],"sparse":[44],"subspace":[45],"learning,":[46],"semisupervised":[47],"learning.":[48],"However,":[49],"it":[50,75],"just":[51],"tries":[52],"reconstruct":[54],"the":[55,63,80,98,106,117],"original":[56,110],"some":[59],"valuable":[60],"information,":[61],"e.g.,":[62],"manifold":[64],"structure,":[65],"largely":[67],"ignored.":[68],"In":[69],"paper,":[71],"we":[72,84,89,127],"argue":[73],"that":[74],"beneficial":[77],"preserve":[79],"overall":[81],"relations":[82],"when":[83],"extract":[85],"information.":[87],"Specifically,":[88],"propose":[90],"novel":[92,147],"framework":[95,140],"by":[96,113],"minimizing":[97],"reconstruction":[99,107],"error":[100,108],"kernel":[102,160],"matrices,":[103],"rather":[104],"than":[105],"adopted":[112],"existing":[114],"work.":[115],"Taking":[116],"clustering":[118],"task":[119],"an":[121],"example":[122],"evaluate":[124],"our":[125,138,158],"method,":[126],"observe":[128],"considerable":[129],"improvements":[130],"compared":[131],"other":[133,154],"state-ofthe-art":[134],"methods.":[135],"More":[136],"importantly,":[137],"proposed":[139,159],"very":[142],"general":[143],"provides":[145],"building":[150],"block":[151],"for":[152],"similarity-based":[155],"tasks.":[156],"Besides,":[157],"preserving":[161],"opens":[162],"up":[163],"large":[165],"number":[166],"possibilities":[168],"embed":[170],"high-dimensional":[171],"into":[173],"low-dimensional":[174],"space.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}