{"id":"https://openalex.org/W2144276987","doi":"https://doi.org/10.1109/tip.2012.2183879","title":"A Unified Feature and Instance Selection Framework Using Optimum Experimental Design","display_name":"A Unified Feature and Instance Selection Framework Using Optimum Experimental Design","publication_year":2012,"publication_date":"2012-01-12","ids":{"openalex":"https://openalex.org/W2144276987","doi":"https://doi.org/10.1109/tip.2012.2183879","mag":"2144276987","pmid":"https://pubmed.ncbi.nlm.nih.gov/22262681"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2012.2183879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2183879","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100448142","display_name":"Lijun Zhang","orcid":"https://orcid.org/0000-0001-5697-4611"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Zhang","raw_affiliation_strings":["Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China. zljzju@zju.edu.cn","Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Key Laboratory of Service Robot, College of Computer Science, Zhejiang University, Hangzhou, China. zljzju@zju.edu.cn","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103956520","display_name":"Chun Chen","orcid":"https://orcid.org/0009-0005-8416-9587"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Chen","raw_affiliation_strings":["Zhejiang ProvincialKey Laboratory of Service Robot, College of Computer Science, University of Zhejiang, Hangzhou, China","Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang ProvincialKey Laboratory of Service Robot, College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052757755","display_name":"Jiajun Bu","orcid":"https://orcid.org/0000-0002-1097-2044"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["Zhejiang ProvincialKey Laboratory of Service Robot, College of Computer Science, University of Zhejiang, Hangzhou, China","Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang ProvincialKey Laboratory of Service Robot, College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Zhejiang Provincial Key Lab. of Service Robot, Zhejiang Univ., Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei He","raw_affiliation_strings":["State Key Laboratory of CAD&CG, College of Computer Science, University of Zhejiang, Hangzhou, China","State Key lab of CAD&CG, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of CAD&CG, College of Computer Science, University of Zhejiang, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"State Key lab of CAD&CG, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100448142"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":3.537,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.9310196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"21","issue":"5","first_page":"2379","last_page":"2388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9995999932289124,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9950000047683716,"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/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.6519082188606262},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.625184953212738},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5435502529144287},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393407940864563},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5090920329093933},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5069849491119385},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5056676864624023},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.485924631357193},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.4758555591106415},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4564100205898285},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4401884078979492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3744964301586151},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3281519412994385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30900806188583374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25991716980934143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6519082188606262},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.625184953212738},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5435502529144287},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393407940864563},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5090920329093933},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5069849491119385},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5056676864624023},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.485924631357193},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.4758555591106415},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4564100205898285},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4401884078979492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3744964301586151},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3281519412994385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30900806188583374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25991716980934143},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tip.2012.2183879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2012.2183879","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:22262681","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22262681","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.1663","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.1663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.nju.edu.cn/zlj/pdf/TIP-2012-Zhang.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W1923722","https://openalex.org/W120286951","https://openalex.org/W190437827","https://openalex.org/W250062009","https://openalex.org/W1479807131","https://openalex.org/W1480376833","https://openalex.org/W1484084878","https://openalex.org/W1569265273","https://openalex.org/W1964488740","https://openalex.org/W1969732013","https://openalex.org/W1976906132","https://openalex.org/W1991622368","https://openalex.org/W2012599677","https://openalex.org/W2017337590","https://openalex.org/W2039477419","https://openalex.org/W2043420811","https://openalex.org/W2060432029","https://openalex.org/W2060542593","https://openalex.org/W2063978378","https://openalex.org/W2078491286","https://openalex.org/W2080021732","https://openalex.org/W2092239883","https://openalex.org/W2094679190","https://openalex.org/W2097839764","https://openalex.org/W2099322651","https://openalex.org/W2109033052","https://openalex.org/W2109751703","https://openalex.org/W2111679734","https://openalex.org/W2114188922","https://openalex.org/W2117553576","https://openalex.org/W2119479037","https://openalex.org/W2121410602","https://openalex.org/W2123839431","https://openalex.org/W2124507903","https://openalex.org/W2127816222","https://openalex.org/W2128873747","https://openalex.org/W2130941826","https://openalex.org/W2133576408","https://openalex.org/W2135046866","https://openalex.org/W2135940344","https://openalex.org/W2138079527","https://openalex.org/W2139212933","https://openalex.org/W2140987615","https://openalex.org/W2144245116","https://openalex.org/W2148633389","https://openalex.org/W2149620660","https://openalex.org/W2153635508","https://openalex.org/W2153794775","https://openalex.org/W2158933803","https://openalex.org/W2160540263","https://openalex.org/W2168133252","https://openalex.org/W2296319761","https://openalex.org/W2425246132","https://openalex.org/W2435251607","https://openalex.org/W2545354269","https://openalex.org/W2570764145","https://openalex.org/W2616354903","https://openalex.org/W2787894218","https://openalex.org/W2903158431","https://openalex.org/W2949071206","https://openalex.org/W3120421331","https://openalex.org/W4237065586","https://openalex.org/W4250589301","https://openalex.org/W4285719527","https://openalex.org/W6604900475","https://openalex.org/W6607693206","https://openalex.org/W6628826841","https://openalex.org/W6674582357","https://openalex.org/W6674952872","https://openalex.org/W6675921686","https://openalex.org/W6678553659","https://openalex.org/W6678881507","https://openalex.org/W6681822384","https://openalex.org/W6682691471","https://openalex.org/W6717827561"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"The":[0],"goal":[1,17],"of":[2,18,38,61,77,101,105,142,168],"feature":[3],"selection":[4,127],"is":[5,21,119,150],"to":[6,22,129,152],"identify":[7,131],"the":[8,16,24,39,58,64,75,85,89,93,99,102,132,140,143,155,166],"most":[9,25,65,133],"informative":[10,26,66,134],"features":[11,43,67,87,135],"for":[12,28,123],"compact":[13],"representation,":[14],"whereas":[15],"active":[19],"learning":[20,107],"select":[23],"instances":[27,45,69,95,137],"prediction.":[29],"Previous":[30],"studies":[31],"separately":[32],"address":[33],"these":[34],"two":[35,161],"problems,":[36],"despite":[37],"fact":[40],"that":[41,138],"selecting":[42,63],"and":[44,68,70,92,125,136],"are":[46],"dual":[47],"operations":[48],"over":[49],"a":[50,72,106,115],"data":[51,163],"matrix.":[52,146],"In":[53],"this":[54],"paper,":[55],"we":[56,113],"consider":[57],"novel":[59,116],"problem":[60],"simultaneously":[62,130],"develop":[71],"solution":[73],"from":[74],"perspective":[76],"optimum":[78],"experimental":[79],"design.":[80],"That":[81],"is,":[82],"by":[83],"using":[84],"selected":[86,94],"as":[88,96],"new":[90],"representation":[91],"training":[97],"data,":[98],"variance":[100],"parameter":[103,144],"estimate":[104],"function":[108],"can":[109],"be":[110],"minimized.":[111],"Specifically,":[112],"propose":[114],"approach,":[117],"which":[118],"called":[120],"Unified":[121],"criterion":[122],"Feature":[124],"Instance":[126],"(UFI),":[128],"minimize":[139],"trace":[141],"covariance":[145],"A":[147],"greedy":[148],"algorithm":[149],"introduced":[151],"efficiently":[153],"solve":[154],"optimization":[156],"problem.":[157],"Experimental":[158],"results":[159],"on":[160],"benchmark":[162],"sets":[164],"demonstrate":[165],"effectiveness":[167],"our":[169],"proposed":[170],"method.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}