{"id":"https://openalex.org/W2981937028","doi":"https://doi.org/10.1145/3343031.3351023","title":"Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation","display_name":"Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981937028","doi":"https://doi.org/10.1145/3343031.3351023","mag":"2981937028"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5100423029","display_name":"Zhao Zhang","orcid":"https://orcid.org/0000-0002-5703-7969"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"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":true,"raw_author_name":"Zhao Zhang","raw_affiliation_strings":["Soochow University & Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Soochow University & Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422","https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091734811","display_name":"Jiahuan Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahuan Ren","raw_affiliation_strings":["Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100359839","display_name":"Sheng Li","orcid":"https://orcid.org/0000-0003-1205-8632"},"institutions":[{"id":"https://openalex.org/I165733156","display_name":"University of Georgia","ror":"https://ror.org/00te3t702","country_code":"US","type":"education","lineage":["https://openalex.org/I165733156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Li","raw_affiliation_strings":["University of Georgia, Athens, GA, USA"],"affiliations":[{"raw_affiliation_string":"University of Georgia, Athens, GA, USA","institution_ids":["https://openalex.org/I165733156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"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":"Richang Hong","raw_affiliation_strings":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Zha","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"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":["Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100423029"],"corresponding_institution_ids":["https://openalex.org/I16365422","https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":5.4607,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.96621075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1569","last_page":"1577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9984999895095825,"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":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/locality","display_name":"Locality","score":0.6853488683700562},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6658280491828918},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6523910760879517},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.564767599105835},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5443200469017029},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.5439186096191406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5221810340881348},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5201159715652466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4654830992221832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4376836121082306},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4164334535598755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40486493706703186}],"concepts":[{"id":"https://openalex.org/C2779808786","wikidata":"https://www.wikidata.org/wiki/Q6664603","display_name":"Locality","level":2,"score":0.6853488683700562},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6658280491828918},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6523910760879517},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.564767599105835},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5443200469017029},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.5439186096191406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5221810340881348},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5201159715652466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4654830992221832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4376836121082306},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4164334535598755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40486493706703186},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351023","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351023","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.46000000834465027,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W1987486886","https://openalex.org/W1997201895","https://openalex.org/W2003286090","https://openalex.org/W2009501510","https://openalex.org/W2020547911","https://openalex.org/W2021770241","https://openalex.org/W2100659887","https://openalex.org/W2145152441","https://openalex.org/W2149745530","https://openalex.org/W2271263562","https://openalex.org/W2313529869","https://openalex.org/W2325658686","https://openalex.org/W2524438386","https://openalex.org/W2526660810","https://openalex.org/W2573268259","https://openalex.org/W2585971786","https://openalex.org/W2744110160","https://openalex.org/W2752197020","https://openalex.org/W2754002142","https://openalex.org/W2754803257","https://openalex.org/W2765802795","https://openalex.org/W2769487182","https://openalex.org/W2801150448","https://openalex.org/W2883391729","https://openalex.org/W2885409562","https://openalex.org/W2896059768","https://openalex.org/W2902082647","https://openalex.org/W2904639925","https://openalex.org/W2912383323","https://openalex.org/W2946797838","https://openalex.org/W2950579627","https://openalex.org/W2950796582","https://openalex.org/W2951270686","https://openalex.org/W2951443864","https://openalex.org/W2963165461","https://openalex.org/W2963714593","https://openalex.org/W2964193752","https://openalex.org/W2966167131","https://openalex.org/W3102246635","https://openalex.org/W3103421582","https://openalex.org/W4292023222"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W2329500892","https://openalex.org/W28991112","https://openalex.org/W2370726991","https://openalex.org/W2364594919","https://openalex.org/W1555349535","https://openalex.org/W1556451512","https://openalex.org/W2135584473","https://openalex.org/W1995723671","https://openalex.org/W2164647769"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,93,119,125,156],"novel":[3],"and":[4,24,47,50,60,72,89,133,150,160,165,172],"unsupervised":[5],"representation":[6,39,88],"learning":[7],"model,":[8,40],"i.e.,":[9],"Robust":[10],"Block-Diagonal":[11],"Adaptive":[12],"Locality-constrained":[13],"Latent":[14],"Representation":[15],"(rBDLR).":[16],"rBDLR":[17,41,180],"is":[18],"able":[19],"to":[20,58,102],"recover":[21],"multi-subspace":[22],"structures":[23,76],"extract":[25],"the":[26,34,44,52,56,74,78,82,86,100,110,138,145,148,177],"adaptive":[27,90,139],"locality-preserving":[28],"salient":[29,48,69,115,134,170],"features":[30,70,135,171],"jointly.":[31],"Leveraging":[32],"on":[33,114],"Frobenius-norm":[35],"based":[36,113],"latent":[37,87],"low-rank":[38],"jointly":[42],"learns":[43],"coding":[45],"coefficients":[46,101,158],"features,":[49,116],"improves":[51],"results":[53,175],"by":[54,108],"enhancing":[55],"robustness":[57],"outliers":[59],"errors":[61],"in":[62,92],"given":[63],"data,":[64],"preserving":[65,141],"local":[66],"information":[67,168],"of":[68,77,179],"adaptively":[71],"ensuring":[73],"block-diagonal":[75,120,127,157],"coefficients.":[79,173],"To":[80,98],"improve":[81],"robustness,":[83],"we":[84,105,153],"perform":[85,106],"weighting":[91],"recovered":[94],"clean":[95],"data":[96],"space.":[97],"force":[99],"be":[103,131],"block-diagonal,":[104],"auto-weighting":[107],"minimizing":[109,144],"reconstruction":[111],"error":[112],"constrained":[117],"using":[118],"regularizer.":[121],"This":[122],"ensures":[123],"that":[124],"strict":[126],"weight":[128],"matrix":[129,159],"can":[130,154,162],"obtained":[132],"will":[136],"possess":[137],"locality":[140],"ability.":[142],"By":[143],"difference":[146],"between":[147,169],"coefficient":[149],"weights":[151],"matrices,":[152],"obtain":[155],"it":[161],"also":[163],"propagate":[164],"exchange":[166],"useful":[167],"Extensive":[174],"demonstrate":[176],"superiority":[178],"over":[181],"other":[182],"state-of-the-art":[183],"methods.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}