{"id":"https://openalex.org/W3042925662","doi":"https://doi.org/10.1109/tmm.2020.3009485","title":"Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction","display_name":"Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction","publication_year":2020,"publication_date":"2020-07-15","ids":{"openalex":"https://openalex.org/W3042925662","doi":"https://doi.org/10.1109/tmm.2020.3009485","mag":"3042925662"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2020.3009485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3009485","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","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, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027251473","display_name":"Yuechen Shang","orcid":null},"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":"Yuechen Shang","raw_affiliation_strings":["School of Electrical and Information Engineering, Tianjin University, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 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/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, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 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, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Information Engineering, Tianjin University, 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":0.1962,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49308511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"2259","last_page":"2272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9987999796867371,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9943000078201294,"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":0.6884596347808838},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6725196838378906},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6372201442718506},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5903698801994324},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.570193886756897},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5529239773750305},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5299877524375916},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5278798341751099},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49329084157943726},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4868289828300476},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.4710801839828491},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.42713838815689087},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38654112815856934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24158060550689697}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6884596347808838},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6725196838378906},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6372201442718506},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5903698801994324},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.570193886756897},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5529239773750305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5299877524375916},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5278798341751099},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49329084157943726},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4868289828300476},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4710801839828491},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.42713838815689087},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38654112815856934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24158060550689697},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2020.3009485","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2020.3009485","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"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 Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2364286904","display_name":null,"funder_award_id":"61802277","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4516437907","display_name":null,"funder_award_id":"61701341","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":85,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1736339626","https://openalex.org/W1777628566","https://openalex.org/W1964357740","https://openalex.org/W1997201895","https://openalex.org/W2008553814","https://openalex.org/W2009627211","https://openalex.org/W2013015287","https://openalex.org/W2013643315","https://openalex.org/W2019524107","https://openalex.org/W2021014470","https://openalex.org/W2053110996","https://openalex.org/W2053834050","https://openalex.org/W2054901814","https://openalex.org/W2058224795","https://openalex.org/W2078807908","https://openalex.org/W2097430540","https://openalex.org/W2097622337","https://openalex.org/W2103972604","https://openalex.org/W2104643304","https://openalex.org/W2107861471","https://openalex.org/W2123020895","https://openalex.org/W2127046953","https://openalex.org/W2131628350","https://openalex.org/W2132555912","https://openalex.org/W2134670479","https://openalex.org/W2135046866","https://openalex.org/W2138769072","https://openalex.org/W2139395976","https://openalex.org/W2145152441","https://openalex.org/W2155803963","https://openalex.org/W2158155099","https://openalex.org/W2161502316","https://openalex.org/W2163862118","https://openalex.org/W2170866857","https://openalex.org/W2203368333","https://openalex.org/W2219771564","https://openalex.org/W2284029101","https://openalex.org/W2294193936","https://openalex.org/W2313529869","https://openalex.org/W2338953098","https://openalex.org/W2408719493","https://openalex.org/W2462010574","https://openalex.org/W2509197032","https://openalex.org/W2526640289","https://openalex.org/W2553125747","https://openalex.org/W2561455088","https://openalex.org/W2566349545","https://openalex.org/W2578730020","https://openalex.org/W2581572661","https://openalex.org/W2780100774","https://openalex.org/W2791459777","https://openalex.org/W2794208501","https://openalex.org/W2801908857","https://openalex.org/W2806464547","https://openalex.org/W2807844012","https://openalex.org/W2811504762","https://openalex.org/W2883604340","https://openalex.org/W2906217954","https://openalex.org/W2929974724","https://openalex.org/W2951848755","https://openalex.org/W2963277177","https://openalex.org/W2963352597","https://openalex.org/W2963562050","https://openalex.org/W2988743243","https://openalex.org/W3004306929","https://openalex.org/W3089541996","https://openalex.org/W4230660356","https://openalex.org/W4297689879","https://openalex.org/W6637373629","https://openalex.org/W6649529986","https://openalex.org/W6653944615","https://openalex.org/W6665099936","https://openalex.org/W6678463710","https://openalex.org/W6679792166","https://openalex.org/W6679973066","https://openalex.org/W6682859755","https://openalex.org/W6684986341","https://openalex.org/W6696958782","https://openalex.org/W6725079823","https://openalex.org/W6730195713","https://openalex.org/W6753039245","https://openalex.org/W6760100043","https://openalex.org/W6783883446","https://openalex.org/W6929385289"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2004323682","https://openalex.org/W2093931120","https://openalex.org/W2152992791","https://openalex.org/W2055243143","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473"],"abstract_inverted_index":{"Image":[0],"memorability":[1,23,85],"prediction":[2,24],"aims":[3],"to":[4,8,27,31,41,77,116],"estimate":[5],"the":[6,18,33,49,74,79,89,93,102,107,118,131,149,176],"degree":[7],"which":[9,44,148],"an":[10,37,140],"image":[11,22,84],"will":[12],"be":[13,114],"remembered":[14],"by":[15],"observers.":[16],"Generally,":[17],"core":[19],"problem":[20],"in":[21,55,111,147],"is":[25,154],"how":[26],"obtain":[28,78],"effective":[29],"representations":[30],"characterize":[32],"visual":[34],"content":[35],"of":[36,92,133,143,167,179],"image.":[38],"In":[39],"contrast":[40],"existing":[42],"methods,":[43],"focus":[45],"more":[46,121],"on":[47,130,170],"exploring":[48],"factors":[50],"that":[51],"make":[52,117],"images":[53],"memorable,":[54],"this":[56],"paper,":[57],"we":[58,138],"first":[59],"propose":[60],"a":[61,157,162],"general":[62],"framework":[63,128],"for":[64,83],"learning":[65],"joint":[66,90],"low-rank":[67,104],"and":[68,95,106,123],"sparse":[69],"principal":[70],"feature":[71],"representations,":[72],"called":[73],"LSPFR":[75],"framework,":[76],"lowest-rank":[80],"intrinsic":[81],"representation":[82],"prediction.":[86],"By":[87],"considering":[88],"optimization":[91],"nuclear":[94],"<inline-formula":[96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[98],"notation=\"LaTeX\">$\\ell":[99],"_{1}$</tex-math></inline-formula>":[100],"-norms,":[101],"global":[103],"structure":[105,136,152],"local":[108],"patterns":[109],"embedded":[110],"data":[112],"can":[113],"exploited":[115],"learned":[119],"features":[120],"robust":[122],"informative.":[124],"To":[125],"improve":[126],"our":[127,180],"based":[129],"exploitation":[132],"sample":[134],"relationship":[135,151],"information,":[137],"present":[139],"extended":[141],"version":[142],"LSPFR,":[144],"named":[145],"E-LSPFR,":[146],"underlying":[150],"matrix":[153],"inferred":[155],"through":[156],"negative":[158],"log-likelihood":[159],"term":[160],"with":[161],"sparsity":[163],"constraint.":[164],"The":[165],"results":[166],"experiments":[168],"conducted":[169],"four":[171],"publicly":[172],"available":[173],"datasets":[174],"confirm":[175],"superior":[177],"performance":[178],"proposed":[181],"approaches.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
