{"id":"https://openalex.org/W1972490990","doi":"https://doi.org/10.1145/1839490.1839495","title":"Multilabel dimensionality reduction via dependence maximization","display_name":"Multilabel dimensionality reduction via dependence maximization","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W1972490990","doi":"https://doi.org/10.1145/1839490.1839495","mag":"1972490990"},"language":"en","primary_location":{"id":"doi:10.1145/1839490.1839495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1839490.1839495","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","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/A5101554536","display_name":"Yin Zhang","orcid":"https://orcid.org/0000-0002-8103-8937"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621138","display_name":"Zhi\u2010Hua Zhou","orcid":"https://orcid.org/0000-0003-0746-1494"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hua Zhou","raw_affiliation_strings":["Nanjing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101554536"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":21.474,"has_fulltext":false,"cited_by_count":373,"citation_normalized_percentile":{"value":0.99460058,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"4","issue":"3","first_page":"1","last_page":"21"},"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":0.989300012588501,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7949000597000122},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5598317980766296},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5521734952926636},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5087669491767883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4952007830142975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43704527616500854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38767924904823303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37112462520599365},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3387860357761383},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.16974711418151855}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7949000597000122},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5598317980766296},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5521734952926636},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5087669491767883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952007830142975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43704527616500854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38767924904823303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37112462520599365},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3387860357761383},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.16974711418151855},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1839490.1839495","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1839490.1839495","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2430496726","display_name":null,"funder_award_id":"BK2008018","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5474991987","display_name":null,"funder_award_id":"2010CB327903","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"},{"id":"https://openalex.org/G666262031","display_name":null,"funder_award_id":"6.06E+15","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/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W1488440450","https://openalex.org/W1638081485","https://openalex.org/W1666447063","https://openalex.org/W1871180460","https://openalex.org/W1979974203","https://openalex.org/W1984274769","https://openalex.org/W1998839399","https://openalex.org/W2001141328","https://openalex.org/W2001619934","https://openalex.org/W2052684427","https://openalex.org/W2053186076","https://openalex.org/W2053463056","https://openalex.org/W2056974656","https://openalex.org/W2065180801","https://openalex.org/W2094651715","https://openalex.org/W2100235303","https://openalex.org/W2101267652","https://openalex.org/W2104606180","https://openalex.org/W2114535528","https://openalex.org/W2118712128","https://openalex.org/W2119187866","https://openalex.org/W2119466907","https://openalex.org/W2120481923","https://openalex.org/W2124101779","https://openalex.org/W2124982040","https://openalex.org/W2127229940","https://openalex.org/W2129414564","https://openalex.org/W2130903752","https://openalex.org/W2133510502","https://openalex.org/W2135533176","https://openalex.org/W2143854982","https://openalex.org/W2146012283","https://openalex.org/W2148694408","https://openalex.org/W2149684865","https://openalex.org/W2149846618","https://openalex.org/W2150102617","https://openalex.org/W2154872931","https://openalex.org/W2155440340","https://openalex.org/W2156718197","https://openalex.org/W2156935079","https://openalex.org/W2164549208","https://openalex.org/W2169495281","https://openalex.org/W2170654002","https://openalex.org/W4255476338","https://openalex.org/W4285719527","https://openalex.org/W6675436802","https://openalex.org/W6776535907"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Multilabel":[0],"learning":[1,16,19],"deals":[2],"with":[3,6,54],"data":[4,12,65],"associated":[5,81],"multiple":[7],"labels":[8],"simultaneously.":[9],"Like":[10],"other":[11],"mining":[13],"and":[14,79],"machine":[15],"tasks,":[17],"multilabel":[18,37,49],"also":[20],"suffers":[21],"from":[22],"the":[23,63,72,75,80,86,97,106],"curse":[24],"of":[25,57,108],"dimensionality":[26,38,50,98],".":[27],"Dimensionality":[28],"reduction":[29,39,51,99],"has":[30],"been":[31],"studied":[32],"for":[33],"many":[34],"years,":[35],"however,":[36],"remains":[40],"almost":[41],"untouched.":[42],"In":[43],"this":[44],"article,":[45],"we":[46,90],"propose":[47],"a":[48,67,92],"method,":[52],"MDDM,":[53],"two":[55],"kinds":[56],"projection":[58],"strategies,":[59],"attempting":[60],"to":[61,101],"project":[62],"original":[64,76],"into":[66],"lower-dimensional":[68],"feature":[69,77],"space":[70],"maximizing":[71],"dependence":[73],"between":[74],"description":[78],"class":[82],"labels.":[83],"Based":[84],"on":[85],"Hilbert-Schmidt":[87],"Independence":[88],"Criterion,":[89],"derive":[91],"eigen-decomposition":[93],"problem":[94],"which":[95],"enables":[96],"process":[100],"be":[102],"efficient.":[103],"Experiments":[104],"validate":[105],"performance":[107],"MDDM.":[109]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":32},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":29},{"year":2015,"cited_by_count":21},{"year":2014,"cited_by_count":17},{"year":2013,"cited_by_count":11},{"year":2012,"cited_by_count":12}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}