{"id":"https://openalex.org/W2799460201","doi":"https://doi.org/10.1109/tcsvt.2018.2832095","title":"A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction","display_name":"A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2799460201","doi":"https://doi.org/10.1109/tcsvt.2018.2832095","mag":"2799460201"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2832095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2832095","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/A5000190108","display_name":"Peiguang Jing","orcid":"https://orcid.org/0000-0003-2648-7358"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peiguang Jing","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033713097","display_name":"Yuting Su","orcid":"https://orcid.org/0000-0001-5165-204X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Su","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038612499","display_name":"Liqiang Nie","orcid":"https://orcid.org/0000-0003-1476-0273"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqiang Nie","raw_affiliation_strings":["School of Computer Science and Technology, Shandong University, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071945515","display_name":"Huimin Gu","orcid":"https://orcid.org/0000-0002-3746-5210"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Gu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375136","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0003-4690-1886"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information Science, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Science, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5000190108"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":5.3187,"has_fulltext":false,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96836452,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":"5","first_page":"1296","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","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/T11605","display_name":"Visual Attention and Saliency Detection","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/T11019","display_name":"Image Enhancement Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7418186664581299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310409307479858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625344455242157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5835012197494507},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5218166708946228},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4996833801269531},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.47844910621643066},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47228318452835083},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.460595965385437},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4404321312904358},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42919665575027466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34686577320098877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2924887537956238},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1301679015159607},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12725383043289185},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11498698592185974}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7418186664581299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310409307479858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625344455242157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5835012197494507},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5218166708946228},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4996833801269531},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.47844910621643066},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47228318452835083},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.460595965385437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4404321312904358},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42919665575027466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34686577320098877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2924887537956238},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1301679015159607},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12725383043289185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11498698592185974},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2018.2832095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2832095","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2629166415","display_name":null,"funder_award_id":"61303208","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4453925136","display_name":null,"funder_award_id":"61572356","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":75,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1566135517","https://openalex.org/W1736339626","https://openalex.org/W1964357740","https://openalex.org/W1987486886","https://openalex.org/W1996232089","https://openalex.org/W2001070410","https://openalex.org/W2002574940","https://openalex.org/W2003856922","https://openalex.org/W2005347517","https://openalex.org/W2009627211","https://openalex.org/W2013643315","https://openalex.org/W2017814585","https://openalex.org/W2021014470","https://openalex.org/W2025983204","https://openalex.org/W2030754587","https://openalex.org/W2048835603","https://openalex.org/W2049297549","https://openalex.org/W2053110996","https://openalex.org/W2054121219","https://openalex.org/W2054901814","https://openalex.org/W2060488580","https://openalex.org/W2063794147","https://openalex.org/W2069737080","https://openalex.org/W2073940236","https://openalex.org/W2075456404","https://openalex.org/W2076766946","https://openalex.org/W2078807908","https://openalex.org/W2083666679","https://openalex.org/W2090101874","https://openalex.org/W2097430540","https://openalex.org/W2100556411","https://openalex.org/W2103972604","https://openalex.org/W2123020895","https://openalex.org/W2129812935","https://openalex.org/W2134670479","https://openalex.org/W2141366416","https://openalex.org/W2144502914","https://openalex.org/W2145152441","https://openalex.org/W2155803963","https://openalex.org/W2157032868","https://openalex.org/W2158155099","https://openalex.org/W2162915993","https://openalex.org/W2163078148","https://openalex.org/W2163605009","https://openalex.org/W2163862118","https://openalex.org/W2186500555","https://openalex.org/W2188772783","https://openalex.org/W2203368333","https://openalex.org/W2219771564","https://openalex.org/W2308736390","https://openalex.org/W2313529869","https://openalex.org/W2338953098","https://openalex.org/W2339666411","https://openalex.org/W2395729379","https://openalex.org/W2524482439","https://openalex.org/W2526640289","https://openalex.org/W2566349545","https://openalex.org/W2597701578","https://openalex.org/W2604737966","https://openalex.org/W2616654950","https://openalex.org/W2735684579","https://openalex.org/W2745660053","https://openalex.org/W2754002142","https://openalex.org/W2949427672","https://openalex.org/W3150963648","https://openalex.org/W6651042577","https://openalex.org/W6678463710","https://openalex.org/W6679792166","https://openalex.org/W6682859755","https://openalex.org/W6684191040","https://openalex.org/W6703697878","https://openalex.org/W6711750205","https://openalex.org/W6736239804","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W4376166922","https://openalex.org/W2490526372","https://openalex.org/W4221142204"],"abstract_inverted_index":{"Image":[0],"memorability":[1,15,116],"is":[2,11,143],"to":[3,7,77,83,94,131,136,145,157,168,178],"measure":[4],"the":[5,31,36,47,60,96,122,147,165,170,174,180,187],"degree":[6],"which":[8],"an":[9,40,104],"image":[10,14,41,115],"remembered.":[12],"Generally":[13],"prediction":[16],"involves":[17],"two":[18],"steps:":[19],"feature":[20,54],"representation":[21],"and":[22,72,103,107,121,150,173],"prediction.":[23,117],"Most":[24],"previous":[25],"work":[26],"just":[27],"focused":[28],"on":[29],"addressing":[30],"first":[32,67],"step":[33],"by":[34,127,163],"investigating":[35],"factors":[37],"of":[38,49,189],"making":[39],"memorable.":[42],"They":[43],"not":[44],"only":[45],"lack":[46],"use":[48],"a":[50,69,87,100,109,128,140,158],"learning":[51],"mechanism":[52],"in":[53],"representation,":[55],"but":[56],"also":[57],"often":[58],"neglect":[59],"second":[61],"step.":[62],"In":[63],"this":[64,79],"paper,":[65],"we":[66],"propose":[68],"joint":[70],"low-rank":[71,88],"sparse":[73,110,129],"regression":[74,111,123],"(JLRSR)":[75],"framework":[76],"address":[78],"problem.":[80],"JLRSR":[81,156],"aims":[82],"jointly":[84],"learn:":[85],"1)":[86],"projection":[89,119],"matrix":[90,120],"that":[91],"enables":[92],"us":[93],"decompose":[95],"original":[97],"data":[98],"into":[99],"component":[101],"part":[102,106],"error":[105],"2)":[108],"coefficient":[112],"vector":[113],"for":[114],"The":[118],"coefficients":[124],"are":[125],"bound":[126],"constraint":[130,167,177],"make":[132],"our":[133,190],"approach":[134],"invariant":[135],"training":[137],"samples.":[138],"Moreover,":[139],"graph":[141],"regularizer":[142],"constructed":[144],"improve":[146],"generalization":[148],"performance":[149],"prevent":[151],"overfitting.":[152],"We":[153],"then":[154],"extend":[155],"multi-view":[159],"version":[160],"called":[161],"Mv-JLRSR":[162],"imposing":[164],"block-wise":[166],"ensure":[169],"group":[171],"effect":[172],"view":[175],"correlation":[176],"eliminate":[179],"heterogeneity":[181],"among":[182],"views.":[183],"Experiment":[184],"results":[185],"validate":[186],"effectiveness":[188],"proposed":[191],"approaches.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":22}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
