{"id":"https://openalex.org/W2560064228","doi":"https://doi.org/10.1109/tpami.2016.2636827","title":"Submodular Attribute Selection for Visual Recognition","display_name":"Submodular Attribute Selection for Visual Recognition","publication_year":2016,"publication_date":"2016-12-07","ids":{"openalex":"https://openalex.org/W2560064228","doi":"https://doi.org/10.1109/tpami.2016.2636827","mag":"2560064228","pmid":"https://pubmed.ncbi.nlm.nih.gov/28114004"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2016.2636827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2636827","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","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/A5072742668","display_name":"Jingjing Zheng","orcid":"https://orcid.org/0000-0003-1955-5308"},"institutions":[{"id":"https://openalex.org/I1332737386","display_name":"General Electric (United States)","ror":"https://ror.org/013msgt25","country_code":"US","type":"company","lineage":["https://openalex.org/I1332737386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingjing Zheng","raw_affiliation_strings":["General Electric Global Research, 1 Research Circle, Niskayuna, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"General Electric Global Research, 1 Research Circle, Niskayuna, NY","institution_ids":["https://openalex.org/I1332737386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112108194","display_name":"Zhuolin Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I1306686416","display_name":"RTX (United States)","ror":"https://ror.org/0354t7b78","country_code":"US","type":"company","lineage":["https://openalex.org/I1306686416"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhuolin Jiang","raw_affiliation_strings":["Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Raytheon BBN Technologies, 10 Moulton St, Cambridge, MA","institution_ids":["https://openalex.org/I1306686416"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9944,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83601395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"39","issue":"11","first_page":"2242","last_page":"2255"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9988999962806702,"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/T11714","display_name":"Multimodal Machine Learning Applications","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"}}],"keywords":[{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.922087550163269},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8361470699310303},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6548078656196594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6479198336601257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6332246661186218},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5665757656097412},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5126699209213257},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5112593173980713},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43769019842147827},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.4284690320491791},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4076836407184601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2981151044368744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09568899869918823},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.08088630437850952}],"concepts":[{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.922087550163269},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8361470699310303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6548078656196594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6479198336601257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6332246661186218},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5665757656097412},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5126699209213257},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5112593173980713},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43769019842147827},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.4284690320491791},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4076836407184601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2981151044368744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09568899869918823},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.08088630437850952},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2016.2636827","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2016.2636827","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:28114004","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28114004","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 pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7672983246","display_name":null,"funder_award_id":"N00014-10-1-0934","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W24089286","https://openalex.org/W48884151","https://openalex.org/W229497717","https://openalex.org/W1498368596","https://openalex.org/W1500937733","https://openalex.org/W1528802670","https://openalex.org/W1597421340","https://openalex.org/W1606858007","https://openalex.org/W1670526751","https://openalex.org/W1680189815","https://openalex.org/W1880262756","https://openalex.org/W1931272207","https://openalex.org/W1953590900","https://openalex.org/W1963932623","https://openalex.org/W1974794302","https://openalex.org/W1979503164","https://openalex.org/W1992454046","https://openalex.org/W1995318441","https://openalex.org/W1999824796","https://openalex.org/W2020163092","https://openalex.org/W2038765747","https://openalex.org/W2056596322","https://openalex.org/W2063153269","https://openalex.org/W2064851185","https://openalex.org/W2084435358","https://openalex.org/W2085660690","https://openalex.org/W2098411764","https://openalex.org/W2103490241","https://openalex.org/W2105101328","https://openalex.org/W2106636782","https://openalex.org/W2109317801","https://openalex.org/W2118585731","https://openalex.org/W2119799051","https://openalex.org/W2120173366","https://openalex.org/W2122528955","https://openalex.org/W2126448884","https://openalex.org/W2128532956","https://openalex.org/W2134270519","https://openalex.org/W2139893168","https://openalex.org/W2141403143","https://openalex.org/W2142258645","https://openalex.org/W2144933361","https://openalex.org/W2150674759","https://openalex.org/W2156672682","https://openalex.org/W2157032868","https://openalex.org/W2160547390","https://openalex.org/W2162681317","https://openalex.org/W2294130536","https://openalex.org/W2478708596","https://openalex.org/W2533739470","https://openalex.org/W2541843346","https://openalex.org/W2757107770","https://openalex.org/W3143107425","https://openalex.org/W4231510805","https://openalex.org/W6609080384","https://openalex.org/W6631694491","https://openalex.org/W6635500466","https://openalex.org/W6636412649","https://openalex.org/W6639619044","https://openalex.org/W6649138653","https://openalex.org/W6675696936","https://openalex.org/W6675963539","https://openalex.org/W6677656871","https://openalex.org/W6681106510","https://openalex.org/W6683212046"],"related_works":["https://openalex.org/W2402949237","https://openalex.org/W2964314169","https://openalex.org/W2594118609","https://openalex.org/W3204684126","https://openalex.org/W2735578456","https://openalex.org/W4389478405","https://openalex.org/W2963059222","https://openalex.org/W2952115151","https://openalex.org/W2901206941","https://openalex.org/W2968699064"],"abstract_inverted_index":{"In":[0,21],"real-world":[1],"visual":[2,146],"recognition":[3,147,153],"problems,":[4],"low-level":[5],"features":[6],"cannot":[7],"adequately":[8],"characterize":[9],"the":[10,16,53,127,137,143],"semantic":[11],"content":[12],"in":[13,19],"images,":[14],"or":[15,27],"spatio-temporal":[17],"structure":[18],"videos.":[20],"this":[22],"work,":[23],"we":[24],"encode":[25],"objects":[26],"actions":[28],"based":[29],"on":[30,131],"attributes":[31,47,58,91],"that":[32,136],"describe":[33],"them":[34],"as":[35,105],"high-level":[36],"concepts.":[37],"We":[38,77],"consider":[39],"two":[40],"types":[41],"of":[42,46,89,145],"attributes.":[43,76],"One":[44],"type":[45,55],"is":[48,56,114,119],"generated":[49],"by":[50,85],"humans,":[51],"while":[52],"second":[54],"data-driven":[57],"extracted":[59],"from":[60,92],"data":[61],"using":[62],"dictionary":[63],"learning":[64],"methods.":[65],"Attribute-based":[66],"representation":[67,84,140],"may":[68],"exhibit":[69],"variations":[70],"due":[71],"to":[72,121,126],"noisy":[73],"and":[74,81,103,116,148],"redundant":[75],"propose":[78],"a":[79,87,93,106],"discriminative":[80,90],"compact":[82],"attribute-based":[83,139],"selecting":[86],"subset":[88],"large":[94],"attribute":[95,98],"set.":[96],"Three":[97],"selection":[99],"criteria":[100],"are":[101],"proposed":[102,138,152],"formulated":[104],"submodular":[107],"optimization":[108,112],"problem.":[109],"A":[110],"greedy":[111],"algorithm":[113],"presented":[115],"its":[117],"solution":[118],"guaranteed":[120],"be":[122],"at":[123],"least":[124],"(1-1/e)-approximation":[125],"optimum.":[128],"Experimental":[129],"results":[130],"four":[132],"public":[133],"datasets":[134],"demonstrate":[135],"significantly":[141],"boosts":[142],"performance":[144],"outperforms":[149],"most":[150],"recently":[151],"approaches.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
