{"id":"https://openalex.org/W2165227743","doi":"https://doi.org/10.1109/tip.2014.2298982","title":"Learning and Recognition of On-Premise Signs From Weakly Labeled Street View Images","display_name":"Learning and Recognition of On-Premise Signs From Weakly Labeled Street View Images","publication_year":2014,"publication_date":"2014-01-31","ids":{"openalex":"https://openalex.org/W2165227743","doi":"https://doi.org/10.1109/tip.2014.2298982","mag":"2165227743","pmid":"https://pubmed.ncbi.nlm.nih.gov/24474374"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2014.2298982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2298982","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","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/A5074727674","display_name":"Tsung-Hung Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Tsung-Hung Tsai","raw_affiliation_strings":["Research Center for Information Technology Innovation, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101402074","display_name":"Wen-Huang Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Huang Cheng","raw_affiliation_strings":["Research Center for Information Technology Innovation, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033555836","display_name":"Chuang-Wen You","orcid":"https://orcid.org/0000-0002-6948-4213"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuang-Wen You","raw_affiliation_strings":["Research Center for Information Technology Innovation, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029298215","display_name":"Min\u2010Chun Hu","orcid":"https://orcid.org/0000-0003-1917-2155"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Chun Hu","raw_affiliation_strings":["National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075204773","display_name":"Arvin Wen Tsui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148468","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63","country_code":"TW","type":"nonprofit","lineage":["https://openalex.org/I4210148468"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Arvin Wen Tsui","raw_affiliation_strings":["Industrial Technology Research Institute, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Industrial Technology Research Institute, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210148468"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062532059","display_name":"Heng\u2010Yu Chi","orcid":"https://orcid.org/0000-0003-0425-5409"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Heng-Yu Chi","raw_affiliation_strings":["Research Center for Information Technology Innovation, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5074727674"],"corresponding_institution_ids":["https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":5.1213,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.96613225,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"3","first_page":"1047","last_page":"1059"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9954000115394592,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"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":0.8061081171035767},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7103896141052246},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6565759181976318},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5905606150627136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5753969550132751},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.559918999671936},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5099619626998901},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5044926404953003},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.49411800503730774},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.48743584752082825},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4546906352043152},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4176810681819916},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4009513854980469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3565000295639038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3489137291908264},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11307203769683838},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11058691143989563}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8061081171035767},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7103896141052246},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6565759181976318},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5905606150627136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5753969550132751},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.559918999671936},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5099619626998901},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5044926404953003},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.49411800503730774},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.48743584752082825},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4546906352043152},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4176810681819916},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4009513854980469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3565000295639038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3489137291908264},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11307203769683838},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11058691143989563},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007089","descriptor_name":"Image Enhancement","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007090","descriptor_name":"Image Interpretation, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008123","descriptor_name":"Location Directories and Signs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008123","descriptor_name":"Location Directories and Signs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008123","descriptor_name":"Location Directories and Signs","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012680","descriptor_name":"Sensitivity and Specificity","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2014.2298982","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2014.2298982","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:24474374","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/24474374","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 image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G3619787951","display_name":null,"funder_award_id":"NSC-102-2221-E-001-028","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320322214","display_name":"Industrial Technology Research Institute","ror":"https://ror.org/05szzwt63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1976941727","https://openalex.org/W1980972548","https://openalex.org/W1988281247","https://openalex.org/W2018573225","https://openalex.org/W2020477327","https://openalex.org/W2026942141","https://openalex.org/W2027444427","https://openalex.org/W2027953712","https://openalex.org/W2031039904","https://openalex.org/W2042599662","https://openalex.org/W2044554797","https://openalex.org/W2044557744","https://openalex.org/W2060028332","https://openalex.org/W2064580901","https://openalex.org/W2073491585","https://openalex.org/W2076145548","https://openalex.org/W2088539403","https://openalex.org/W2101199297","https://openalex.org/W2104529517","https://openalex.org/W2112301665","https://openalex.org/W2113201641","https://openalex.org/W2118246710","https://openalex.org/W2122465129","https://openalex.org/W2128715914","https://openalex.org/W2134135198","https://openalex.org/W2135957164","https://openalex.org/W2140156730","https://openalex.org/W2140363548","https://openalex.org/W2145400576","https://openalex.org/W2147277317","https://openalex.org/W2147483361","https://openalex.org/W2153038208","https://openalex.org/W2162762921","https://openalex.org/W2171896402","https://openalex.org/W2612977707","https://openalex.org/W4212863985","https://openalex.org/W4238394010","https://openalex.org/W6668916040","https://openalex.org/W6680437723","https://openalex.org/W6680786152"],"related_works":["https://openalex.org/W2357365693","https://openalex.org/W2073139667","https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W1550912305","https://openalex.org/W2970216048"],"abstract_inverted_index":{"Camera-enabled":[0],"mobile":[1,31],"devices":[2],"are":[3,59,93,125],"commonly":[4],"used":[5,61],"as":[6,24,172],"interaction":[7],"platforms":[8],"for":[9,30,132,177,202,240],"linking":[10],"the":[11,98,134,149,158,184,189,195,217],"user's":[12],"virtual":[13],"and":[14,20,85,140,206,227,238],"physical":[15],"worlds":[16],"in":[17,62,75,95,103,115,152,216,231],"numerous":[18],"research":[19],"commercial":[21,57],"applications,":[22],"such":[23,90],"serving":[25],"an":[26,109],"augmented":[27],"reality":[28],"interface":[29],"information":[32,160],"retrieval.":[33],"The":[34,66],"various":[35],"application":[36],"scenarios":[37],"give":[38],"rise":[39],"to":[40,156],"a":[41,53,144,173,211,232],"key":[42],"technique":[43],"of":[44,56,97,121,136,161,167,191],"daily":[45],"life":[46],"visual":[47,71,163],"object":[48],"recognition.":[49],"On-premise":[50],"signs":[51],"(OPSs),":[52],"popular":[54],"form":[55],"advertising,":[58],"widely":[60],"our":[63,192,222],"living":[64],"life.":[65],"OPSs":[67],"often":[68],"exhibit":[69],"great":[70],"diversity":[72],"(e.g.,":[73,83],"appearing":[74],"arbitrary":[76],"size),":[77],"accompanied":[78],"with":[79,210],"complex":[80],"environmental":[81],"conditions":[82],"foreground":[84],"background":[86],"clutter).":[87],"Observing":[88],"that":[89],"real-world":[91,137],"characteristics":[92],"lacking":[94],"most":[96],"existing":[99],"image":[100],"data":[101,111,186],"sets,":[102],"this":[104],"paper,":[105],"we":[106,142,154],"first":[107],"proposed":[108,155],"OPS":[110,119,138,170,180],"set,":[112],"namely":[113],"OPS-62,":[114],"which":[116,153],"totally":[117],"4649":[118],"images":[120],"62":[122],"different":[123],"businesses":[124],"collected":[126],"from":[127],"Google's":[128],"Street":[129],"View.":[130],"Further,":[131],"addressing":[133],"problem":[135],"learning":[139],"recognition,":[141],"developed":[143],"probabilistic":[145,197],"framework":[146],"based":[147],"on":[148,183],"distributional":[150,159],"clustering,":[151],"exploit":[157],"each":[162],"feature":[164],"(the":[165],"distribution":[166],"its":[168],"associated":[169],"labels)":[171],"reliable":[174],"selection":[175],"criterion":[176],"building":[178],"discriminative":[179],"models.":[181],"Experiments":[182],"OPS-62":[185],"set":[187],"demonstrated":[188],"outperformance":[190],"approach":[193,223],"over":[194],"state-of-the-art":[196],"latent":[198],"semantic":[199],"analysis":[200],"models":[201],"more":[203],"accurate":[204],"recognitions":[205],"less":[207],"false":[208],"alarms,":[209],"significant":[212],"151.28%":[213],"relative":[214],"improvement":[215],"average":[218],"recognition":[219],"rate.":[220],"Meanwhile,":[221],"is":[224],"simple,":[225],"linear,":[226],"can":[228],"be":[229],"executed":[230],"parallel":[233],"fashion,":[234],"making":[235],"it":[236],"practical":[237],"scalable":[239],"large-scale":[241],"multimedia":[242],"applications.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":9},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
