{"id":"https://openalex.org/W2903753216","doi":"https://doi.org/10.1109/tcsvt.2018.2886600","title":"Unidirectional Representation-Based Efficient Dictionary Learning","display_name":"Unidirectional Representation-Based Efficient Dictionary Learning","publication_year":2018,"publication_date":"2018-12-13","ids":{"openalex":"https://openalex.org/W2903753216","doi":"https://doi.org/10.1109/tcsvt.2018.2886600","mag":"2903753216"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2886600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2886600","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5103146635","display_name":"Xiudong Wang","orcid":"https://orcid.org/0000-0003-3348-1472"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiudong Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100346266","display_name":"Yali Li","orcid":"https://orcid.org/0000-0002-6629-7228"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yali Li","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003277535","display_name":"Shaodi You","orcid":"https://orcid.org/0000-0001-8973-645X"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shaodi You","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University, Canberra, Australia","Data61 of CSIRO, Canberra Research Lab, Canberra, Australia","Data61 of CSIRO, Canberra Research Lab, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"Data61 of CSIRO, Canberra Research Lab, Canberra, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]},{"raw_affiliation_string":"Data61 of CSIRO, Canberra Research Lab, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101819061","display_name":"Hongdong Li","orcid":"https://orcid.org/0000-0003-4125-1554"},"institutions":[{"id":"https://openalex.org/I118347636","display_name":"Australian National University","ror":"https://ror.org/019wvm592","country_code":"AU","type":"education","lineage":["https://openalex.org/I118347636"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hongdong Li","raw_affiliation_strings":["College of Engineering and Computer Science, Australian National University, Canberra, Australia","[College of Engineering & Computer Science, Australian National University, Canberra, ACT, Australia]"],"affiliations":[{"raw_affiliation_string":"College of Engineering and Computer Science, Australian National University, Canberra, Australia","institution_ids":["https://openalex.org/I118347636"]},{"raw_affiliation_string":"[College of Engineering & Computer Science, Australian National University, Canberra, ACT, Australia]","institution_ids":["https://openalex.org/I118347636"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030965866","display_name":"Shengjin Wang","orcid":"https://orcid.org/0000-0001-7809-1932"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengjin Wang","raw_affiliation_strings":["Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","Department of Electronic Engineering, Tsinghua University, Beijing, China","Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Beijing National Research Center for Information Science and Technology, Tsinghua University Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103146635"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.1846,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.84882175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"30","issue":"1","first_page":"59","last_page":"74"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.991599977016449,"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":0.991599977016449,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9818999767303467,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9800999760627747,"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":0.7184433937072754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5274127721786499},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.45678600668907166},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4187990427017212},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3621827960014343},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3356659412384033}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7184433937072754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5274127721786499},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45678600668907166},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4187990427017212},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3621827960014343},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3356659412384033},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcsvt.2018.2886600","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2886600","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/df58d805-9c30-48b0-9284-f3789f9f434e","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/unidirectional-representationbased-efficient-dictionary-learning(df58d805-9c30-48b0-9284-f3789f9f434e).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wang, X, Li, Y, You, S, Li, H & Wang, S 2020, 'Unidirectional Representation-Based Efficient Dictionary Learning', IEEE transactions on circuits and systems for video technology, vol. 30, no. 1, pp. 59-74. https://doi.org/10.1109/TCSVT.2018.2886600","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:openresearch-repository.anu.edu.au:1885/307344","is_oa":false,"landing_page_url":"http://hdl.handle.net/1885/307344","pdf_url":null,"source":{"id":"https://openalex.org/S4306402539","display_name":"ANU Open Research (Australian National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I118347636","host_organization_name":"Australian National University","host_organization_lineage":["https://openalex.org/I118347636"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"Journal article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2647066567","display_name":null,"funder_award_id":"61771288","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8235566811","display_name":null,"funder_award_id":"61701277","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":71,"referenced_works":["https://openalex.org/W1551219034","https://openalex.org/W1591385104","https://openalex.org/W1652450286","https://openalex.org/W1686810756","https://openalex.org/W1902027874","https://openalex.org/W1920702274","https://openalex.org/W1927762903","https://openalex.org/W1961095629","https://openalex.org/W1963932623","https://openalex.org/W1972715665","https://openalex.org/W1982405594","https://openalex.org/W1986080131","https://openalex.org/W1988898685","https://openalex.org/W1992405901","https://openalex.org/W2027805700","https://openalex.org/W2027922120","https://openalex.org/W2035517574","https://openalex.org/W2047028564","https://openalex.org/W2051090063","https://openalex.org/W2062118960","https://openalex.org/W2082855665","https://openalex.org/W2116216716","https://openalex.org/W2117553576","https://openalex.org/W2118103795","https://openalex.org/W2119821739","https://openalex.org/W2121058967","https://openalex.org/W2125874614","https://openalex.org/W2128638419","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2138451337","https://openalex.org/W2146047955","https://openalex.org/W2146076056","https://openalex.org/W2160547390","https://openalex.org/W2162915993","https://openalex.org/W2163605009","https://openalex.org/W2164576411","https://openalex.org/W2166049352","https://openalex.org/W2185231601","https://openalex.org/W2200631819","https://openalex.org/W2254969944","https://openalex.org/W2276450554","https://openalex.org/W2315814222","https://openalex.org/W2397460111","https://openalex.org/W2415447328","https://openalex.org/W2415584503","https://openalex.org/W2421536562","https://openalex.org/W2423236762","https://openalex.org/W2471678645","https://openalex.org/W2533598788","https://openalex.org/W2545001516","https://openalex.org/W2573108165","https://openalex.org/W2606467623","https://openalex.org/W2736643867","https://openalex.org/W2745943275","https://openalex.org/W2754803257","https://openalex.org/W2755555666","https://openalex.org/W2795307117","https://openalex.org/W2903489537","https://openalex.org/W2953139536","https://openalex.org/W2964018382","https://openalex.org/W4239510810","https://openalex.org/W4255455317","https://openalex.org/W6635552349","https://openalex.org/W6677645113","https://openalex.org/W6678757208","https://openalex.org/W6681521150","https://openalex.org/W6683799028","https://openalex.org/W6684191040","https://openalex.org/W6686468329","https://openalex.org/W6712494446"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Dictionary":[0],"learning":[1,26,47],"(DL)":[2],"has":[3],"been":[4],"widely":[5],"studied":[6],"for":[7,20,41,98],"pattern":[8],"classification.":[9,128],"Most":[10],"existing":[11],"methods":[12],"introduce":[13],"multiple":[14],"discriminative":[15],"terms":[16,145],"into":[17],"objective":[18],"functions":[19],"accuracy":[21,148],"improvement,":[22],"leading":[23],"to":[24,53,60,67],"complex":[25],"frameworks":[27],"and":[28,84,101,125],"high":[29],"computational":[30,156],"burdens.":[31],"This":[32],"paper":[33],"proposes":[34],"a":[35,153],"simple":[36],"yet":[37],"effective":[38],"DL":[39,142],"algorithm":[40],"classification,":[42,122],"namely":[43],"unidirectional":[44],"representation":[45,59,87],"dictionary":[46],"(URDL).":[48],"Unidirectional":[49],"constraint":[50],"is":[51,65],"proposed":[52,66,108,135],"guide":[54],"coefficient":[55],"directions":[56],"in":[57,72,144],"the":[58,69,73,78,86,104,107,134,140],"be":[61],"discriminative.":[62],"Besides,":[63],"direction-thresholding":[64],"exploit":[68],"direction":[70],"property":[71],"classification":[74],"scheme.":[75],"It":[76],"suppresses":[77],"disturbance":[79],"from":[80],"undesired":[81],"non-zero":[82],"coefficients,":[83],"improves":[85],"discriminability.":[88],"We":[89],"adopt":[90],"squared":[91],"\u2113":[92],"<sub":[93],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[94],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>":[95],"-norm-based":[96],"regularization":[97],"efficient":[99],"coding,":[100],"systematically":[102],"analyze":[103],"mechanism":[105],"of":[106,146],"method.":[109],"Extensive":[110],"experiments":[111],"on":[112],"five":[113],"data":[114],"sets":[115],"are":[116],"conducted,":[117],"including":[118],"object":[119],"categorization,":[120],"scene":[121],"face":[123],"recognition,":[124],"fine-grained":[126],"flower":[127],"The":[129],"experimental":[130],"results":[131],"demonstrate":[132],"that":[133],"approach":[136],"not":[137],"only":[138],"outperforms":[139],"state-of-the-art":[141],"algorithms":[143],"recognition":[147],"significantly,":[149],"but":[150],"also":[151],"exhibits":[152],"much":[154],"higher":[155],"efficiency.":[157]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
