{"id":"https://openalex.org/W4315473677","doi":"https://doi.org/10.1109/tip.2023.3234497","title":"Unsupervised Adaptive Feature Selection With Binary Hashing","display_name":"Unsupervised Adaptive Feature Selection With Binary Hashing","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4315473677","doi":"https://doi.org/10.1109/tip.2023.3234497","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018641"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2023.3234497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3234497","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/A5038599874","display_name":"Dan Shi","orcid":"https://orcid.org/0000-0003-2773-9924"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Shi","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0003-2773-9924","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108048954","display_name":"Lei Zhu","orcid":"https://orcid.org/0000-0002-2993-7142"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan, China","Peng Cheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-2993-7142","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan, China","institution_ids":["https://openalex.org/I28006308"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100338386","display_name":"Jingjing Li","orcid":"https://orcid.org/0000-0002-5504-2529"},"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":"Jingjing Li","raw_affiliation_strings":["School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-5504-2529","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1470-6998","affiliations":[{"raw_affiliation_string":"Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210144487","https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034967388","display_name":"Xiaojun Chang","orcid":"https://orcid.org/0000-0002-7778-8807"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaojun Chang","raw_affiliation_strings":["School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7778-8807","affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Technology Sydney, Ultimo, NSW, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.332,"has_fulltext":false,"cited_by_count":75,"citation_normalized_percentile":{"value":0.98375886,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"32","issue":null,"first_page":"838","last_page":"853"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9962999820709229,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9894999861717224,"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/discriminative-model","display_name":"Discriminative model","score":0.7867488861083984},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6912661790847778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858843564987183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6790803670883179},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6585909724235535},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6434400081634521},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5176635384559631},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.48959046602249146},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.48478788137435913},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4847862124443054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4435041546821594},{"id":"https://openalex.org/keywords/feature-hashing","display_name":"Feature hashing","score":0.422717809677124},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.39149975776672363},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3821876049041748},{"id":"https://openalex.org/keywords/hash-table","display_name":"Hash table","score":0.25140172243118286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16706442832946777},{"id":"https://openalex.org/keywords/double-hashing","display_name":"Double hashing","score":0.11830347776412964}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7867488861083984},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6912661790847778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858843564987183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6790803670883179},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6585909724235535},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6434400081634521},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5176635384559631},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.48959046602249146},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.48478788137435913},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4847862124443054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4435041546821594},{"id":"https://openalex.org/C133667856","wikidata":"https://www.wikidata.org/wiki/Q5439682","display_name":"Feature hashing","level":5,"score":0.422717809677124},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.39149975776672363},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3821876049041748},{"id":"https://openalex.org/C67388219","wikidata":"https://www.wikidata.org/wiki/Q207440","display_name":"Hash table","level":3,"score":0.25140172243118286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16706442832946777},{"id":"https://openalex.org/C138111711","wikidata":"https://www.wikidata.org/wiki/Q478351","display_name":"Double hashing","level":4,"score":0.11830347776412964},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2023.3234497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2023.3234497","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:37018641","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018641","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}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2462498745","display_name":null,"funder_award_id":"62172263","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3325856545","display_name":null,"funder_award_id":"ZR2019QF002","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G4384274961","display_name":null,"funder_award_id":"ZR2020YQ47","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7115490737","display_name":null,"funder_award_id":"62002085","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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W45551751","https://openalex.org/W141062567","https://openalex.org/W1545641654","https://openalex.org/W1547024163","https://openalex.org/W1566135517","https://openalex.org/W1644402181","https://openalex.org/W1803413907","https://openalex.org/W1946550961","https://openalex.org/W1979089718","https://openalex.org/W1984776140","https://openalex.org/W1988881859","https://openalex.org/W2052684427","https://openalex.org/W2060279450","https://openalex.org/W2070043240","https://openalex.org/W2076363162","https://openalex.org/W2084028080","https://openalex.org/W2084376194","https://openalex.org/W2106277773","https://openalex.org/W2113590298","https://openalex.org/W2114994812","https://openalex.org/W2121647436","https://openalex.org/W2128603141","https://openalex.org/W2128873747","https://openalex.org/W2131748762","https://openalex.org/W2134529554","https://openalex.org/W2141110420","https://openalex.org/W2151103935","https://openalex.org/W2156718197","https://openalex.org/W2158933803","https://openalex.org/W2161969291","https://openalex.org/W2165846633","https://openalex.org/W2194775991","https://openalex.org/W2260771218","https://openalex.org/W2336920772","https://openalex.org/W2343205238","https://openalex.org/W2402190344","https://openalex.org/W2407812036","https://openalex.org/W2411707397","https://openalex.org/W2422268042","https://openalex.org/W2581572661","https://openalex.org/W2608957300","https://openalex.org/W2740825418","https://openalex.org/W2765295959","https://openalex.org/W2808219330","https://openalex.org/W2809299793","https://openalex.org/W2832876791","https://openalex.org/W2894278606","https://openalex.org/W2898783674","https://openalex.org/W2904251885","https://openalex.org/W2910587455","https://openalex.org/W2940532918","https://openalex.org/W2940939841","https://openalex.org/W2955273087","https://openalex.org/W2964081303","https://openalex.org/W2974497444","https://openalex.org/W2996987977","https://openalex.org/W3000308450","https://openalex.org/W3007186749","https://openalex.org/W3025665229","https://openalex.org/W3037990961","https://openalex.org/W3113055207","https://openalex.org/W3197579463","https://openalex.org/W3202822534","https://openalex.org/W4200577927","https://openalex.org/W4250589301","https://openalex.org/W4313156423","https://openalex.org/W6637373629","https://openalex.org/W6638310485","https://openalex.org/W6640567031","https://openalex.org/W6677994088","https://openalex.org/W6685042627","https://openalex.org/W6687483927","https://openalex.org/W6692628530","https://openalex.org/W6714133674","https://openalex.org/W6780046770","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W4381744218","https://openalex.org/W2767764284","https://openalex.org/W2059244188","https://openalex.org/W2035647105","https://openalex.org/W1981124010","https://openalex.org/W3192025065","https://openalex.org/W3087964089","https://openalex.org/W4205587245","https://openalex.org/W2088296667","https://openalex.org/W2963758661"],"abstract_inverted_index":{"Unsupervised":[0,81],"feature":[1,11,30,106,141,206,248],"selection":[2,31,207,249],"chooses":[3],"a":[4,79],"subset":[5],"of":[6,20,55,145,150,171,239,254],"discriminative":[7,114,169],"features":[8,58],"to":[9,52,104,111,137,160,166,191,202,223],"reduce":[10],"dimension":[12],"under":[13,116],"the":[14,56,101,113,117,120,133,139,161,168,176,183,204,216,226,236,240,252,258],"unsupervised":[15,118],"learning":[16],"paradigm.":[17],"Although":[18],"lots":[19],"efforts":[21],"have":[22],"been":[23],"made":[24],"so":[25],"far,":[26],"existing":[27],"solutions":[28],"perform":[29],"either":[32],"without":[33],"any":[34],"label":[35,42],"guidance":[36],"or":[37],"with":[38,71,85,198],"only":[39],"single":[40],"pseudo":[41],"guidance.":[43],"They":[44],"may":[45],"cause":[46],"significant":[47],"information":[48,115],"loss":[49],"and":[50,66,98,246,261],"lead":[51],"semantic":[53],"shortage":[54],"selected":[57],"as":[59,64,95,194],"many":[60],"real-world":[61],"data,":[62],"such":[63],"images":[65],"videos":[67],"are":[68,123],"generally":[69],"annotated":[70],"multiple":[72],"labels.":[73],"In":[74],"this":[75],"paper,":[76],"we":[77,174,188,256],"propose":[78],"new":[80],"Adaptive":[82],"Feature":[83,196],"Selection":[84,197],"Binary":[86,199],"Hashing":[87,200],"(UAFS-BH)":[88],"model,":[89],"which":[90],"learns":[91],"binary":[92,129,153,172,211],"hash":[93,130,154],"codes":[94,260],"weakly-supervised":[96,121,146],"multi-labels":[97,122,147],"simultaneously":[99],"exploits":[100],"learned":[102,124],"labels":[103],"guide":[105,138],"selection.":[107,142],"Specifically,":[108],"in":[109,152],"order":[110],"exploit":[112],"scenarios,":[119],"automatically":[125],"by":[126,180],"specially":[127],"imposing":[128],"constraints":[131],"on":[132,215,231,243],"spectral":[134],"embedding":[135],"process":[136],"ultimate":[140],"The":[143],"number":[144,149],"(the":[148],"\"1\"":[151],"codes)":[155],"is":[156,221],"adaptively":[157,181],"determined":[158],"according":[159],"specific":[162],"data":[163,178],"content.":[164],"Further,":[165],"enhance":[167],"capability":[170],"labels,":[173],"model":[175],"intrinsic":[177],"structure":[179],"constructing":[182],"dynamic":[184],"similarity":[185],"graph.":[186],"Finally,":[187],"extend":[189],"UAFS-BH":[190],"multi-view":[192,205,247],"setting":[193],"Multi-view":[195],"(MVFS-BH)":[201],"handle":[203],"problem.":[208,228],"An":[209],"effective":[210],"optimization":[212],"method":[213,242],"based":[214],"Augmented":[217],"Lagrangian":[218],"Multiple":[219],"(ALM)":[220],"derived":[222],"iteratively":[224],"solve":[225],"formulated":[227],"Extensive":[229],"experiments":[230],"widely":[232],"tested":[233],"benchmarks":[234],"demonstrate":[235],"state-of-the-art":[237],"performance":[238],"proposed":[241],"both":[244],"single-view":[245],"tasks.":[250],"For":[251],"purpose":[253],"reproducibility,":[255],"provide":[257],"source":[259],"testing":[262],"datasets":[263],"at":[264],"https://github.com/shidan0122/UMFS.git..":[265]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":13}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}