{"id":"https://openalex.org/W4281932781","doi":"https://doi.org/10.1145/3523286.3524543","title":"Singular Value Decomposition and Manifold Regulation-based Multi-label Classification","display_name":"Singular Value Decomposition and Manifold Regulation-based Multi-label Classification","publication_year":2022,"publication_date":"2022-01-21","ids":{"openalex":"https://openalex.org/W4281932781","doi":"https://doi.org/10.1145/3523286.3524543"},"language":"en","primary_location":{"id":"doi:10.1145/3523286.3524543","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","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/A5055074679","display_name":"Xuting Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuting Guo","raw_affiliation_strings":["Department of Mathematics and Statistics, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071555681","display_name":"Youlong Yang","orcid":"https://orcid.org/0000-0002-3706-1312"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YouLong Yang","raw_affiliation_strings":["Department of Mathematics and Statistics, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100405062","display_name":"Yuanyuan Liu","orcid":"https://orcid.org/0000-0002-9453-6943"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuanYuan Liu","raw_affiliation_strings":["Department of Mathematics and Statistics, Xidian University, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Xidian University, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055074679"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05106903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"211","last_page":"216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9883000254631042,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9790999889373779,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.7597368955612183},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.6170455813407898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6133068799972534},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6090065240859985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5592119693756104},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5119074583053589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040630102157593},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.48714324831962585},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4458617568016052},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.43319404125213623},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4297637939453125},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4220523536205292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3405948579311371},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3363150954246521}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.7597368955612183},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.6170455813407898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6133068799972534},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6090065240859985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5592119693756104},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5119074583053589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040630102157593},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.48714324831962585},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4458617568016052},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.43319404125213623},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4297637939453125},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4220523536205292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3405948579311371},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3363150954246521},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523286.3524543","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523286.3524543","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 2nd International Conference on Bioinformatics and Intelligent Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1862832557","https://openalex.org/W1972490990","https://openalex.org/W2027869746","https://openalex.org/W2053463056","https://openalex.org/W2097616835","https://openalex.org/W2114393161","https://openalex.org/W2156935079","https://openalex.org/W2614937618","https://openalex.org/W2913869475","https://openalex.org/W4244494905","https://openalex.org/W6600741150"],"related_works":["https://openalex.org/W3121932492","https://openalex.org/W4232638561","https://openalex.org/W3176621072","https://openalex.org/W1997544008","https://openalex.org/W1607100495","https://openalex.org/W2066043610","https://openalex.org/W6057950","https://openalex.org/W2463380297","https://openalex.org/W2782564536","https://openalex.org/W2527691073"],"abstract_inverted_index":{"In":[0,65],"multi-label":[1,45,116,138,145],"classification,":[2],"an":[3,83],"instance":[4],"may":[5],"contain":[6],"multiple":[7],"labels":[8],"simultaneously,":[9],"so":[10],"it":[11],"is":[12,71,94,118],"applied":[13],"widely":[14],"in":[15],"many":[16],"aspects":[17],"such":[18],"as":[19],"product":[20],"recommendation,":[21],"biological":[22],"function":[23],"prediction":[24],"and":[25,35,58,110],"document":[26],"annotation.":[27],"However,":[28],"the":[29,68,105,125,128,143,148],"high-dimensional":[30],"problem":[31,37],"of":[32,38,127],"feature":[33],"space":[34,40,70,76],"sparseness":[36],"label":[39,69,75],"bring":[41],"great":[42],"challenges":[43],"to":[44,103],"classification.":[46],"To":[47,123],"solve":[48],"these":[49],"problems,":[50],"this":[51,66],"paper":[52],"proposes":[53],"a":[54,99,114],"Singular":[55],"Value":[56],"Decomposition":[57],"Manifold":[59],"Regulation-based":[60],"Multi-label":[61],"Classification":[62],"(SDMR)":[63],"framework.":[64],"framework,":[67],"transformed":[72],"into":[73],"latent":[74,111],"by":[77],"singular":[78],"value":[79],"decomposition":[80],"(SVD).":[81],"Then":[82],"improved":[84],"principal":[85],"component":[86],"analysis":[87],"method":[88],"based":[89],"on":[90,135],"manifold":[91],"regularization":[92],"(PCAM)":[93],"proposed,":[95],"which":[96],"can":[97,155],"find":[98],"few":[100],"effective":[101],"features":[102,109],"maximize":[104],"dependence":[106],"between":[107],"low-dimensional":[108,121],"labels.":[112],"Finally,":[113],"powerful":[115],"classifier":[117],"learned":[119],"from":[120],"spaces.":[122],"verify":[124],"effectiveness":[126],"proposed":[129,149],"algorithm,":[130],"extensive":[131],"experiments":[132],"are":[133],"conducted":[134],"ten":[136],"real-world":[137],"data":[139],"sets.":[140],"Compared":[141],"with":[142],"traditional":[144],"classification":[146,158],"algorithms,":[147],"algorithm":[150],"through":[151],"dual":[152],"spaces":[153],"reduction":[154],"achieve":[156],"better":[157],"performance.":[159]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}