{"id":"https://openalex.org/W2059674023","doi":"https://doi.org/10.1109/icme.2014.6890180","title":"Plant identification with noisy web data","display_name":"Plant identification with noisy web data","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2059674023","doi":"https://doi.org/10.1109/icme.2014.6890180","mag":"2059674023"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2014.6890180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","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/A5042356656","display_name":"William Y. Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"William Y. Zhang","raw_affiliation_strings":["Monta Vista High School"],"affiliations":[{"raw_affiliation_string":"Monta Vista High School","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024965898","display_name":"Xian\u2010Sheng Hua","orcid":"https://orcid.org/0000-0002-8232-5049"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Xian-Sheng Hua","raw_affiliation_strings":["Microsoft Research","Microsoft research#TAB#"],"affiliations":[{"raw_affiliation_string":"Microsoft Research","institution_ids":["https://openalex.org/I4210164937"]},{"raw_affiliation_string":"Microsoft research#TAB#","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042356656"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12321694,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"6"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9833999872207642,"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":0.826235830783844},{"id":"https://openalex.org/keywords/plant-identification","display_name":"Plant identification","score":0.7413800954818726},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7110642194747925},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6368505954742432},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.6189536452293396},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6076360940933228},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5194275379180908},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5108587145805359},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.47491276264190674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46579989790916443},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4632822871208191},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4312426447868347},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41638824343681335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40785151720046997},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3331444263458252},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1323898434638977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.826235830783844},{"id":"https://openalex.org/C2776091240","wikidata":"https://www.wikidata.org/wiki/Q106238460","display_name":"Plant identification","level":2,"score":0.7413800954818726},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7110642194747925},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6368505954742432},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6189536452293396},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6076360940933228},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5194275379180908},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5108587145805359},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.47491276264190674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46579989790916443},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4632822871208191},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4312426447868347},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41638824343681335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40785151720046997},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3331444263458252},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1323898434638977},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme.2014.6890180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2014.6890180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W2045943520","https://openalex.org/W2066941820","https://openalex.org/W2118585731","https://openalex.org/W2133114417","https://openalex.org/W2151103935","https://openalex.org/W2171852577","https://openalex.org/W2293199171","https://openalex.org/W2998009871","https://openalex.org/W4298304654","https://openalex.org/W6628633436","https://openalex.org/W6677656871","https://openalex.org/W6685529966"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2382021449","https://openalex.org/W2095118173","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056","https://openalex.org/W2010935248"],"abstract_inverted_index":{"One":[0],"of":[1,14,85,115,155,190],"the":[2,12,94,98,116,124,145,156,176,188,220],"main":[3],"problems":[4,208],"in":[5,42,70,109],"image":[6,17,36,133,153,169,191,206],"based":[7,171,192],"plant":[8,30,95,132,193],"identification":[9],"has":[10],"been":[11],"lack":[13],"quality":[15,29,147,154],"training":[16,54,77,178,214],"data.":[18],"A":[19],"few":[20],"attempts":[21],"for":[22,80,149],"solving":[23],"this":[24,43,184,197],"problem":[25],"through":[26],"generating":[27],"high":[28],"images":[31,55,86,101,117],"from":[32,56,89,136,219],"crowd":[33],"sourced":[34],"Web":[35,58],"collections":[37],"like":[38],"Flickr":[39,91],"are":[40,102,118],"proposed":[41],"paper.":[44],"These":[45],"methods":[46],"try":[47],"to":[48,72,123,142,203],"automatically":[49,143,181],"identify":[50],"correct":[51],"and":[52,108,168],"informative":[53],"those":[57],"images,":[59],"which":[60],"typically":[61],"have":[62],"very":[63],"noisy":[64],"metadata":[65],"(for":[66],"example,":[67],"user":[68],"tags":[69],"Flickr),":[71],"enhance":[73],"existing":[74],"manually":[75],"labeled":[76],"set.":[78],"Firstly,":[79],"each":[81,110,150],"plant,":[82],"a":[83,113,130,200],"set":[84,135,180],"is":[87,138,159,199],"collected":[88],"searching":[90],"by":[92,162,183],"using":[93],"name":[96],"as":[97,140,209,211],"query.":[99],"Then,":[100],"clustered":[103],"into":[104],"visually":[105],"consistent":[106],"clusters,":[107,129],"cluster":[111,148],"hopefully":[112],"majority":[114],"all":[119,205],"relevant":[120],"or":[121],"irrelevant":[122],"particular":[125],"plant.":[126,151],"From":[127],"these":[128],"managed":[131],"data":[134,179,215],"ImageCLEF":[137],"used":[139],"reference":[141],"select":[144],"highest":[146],"The":[152],"selected":[157,182],"clusters":[158],"further":[160],"improved":[161],"two":[163],"algorithms:":[164],"an":[165],"iterative":[166],"method":[167,185],"similarity":[170],"ranking.":[172],"We":[173],"show":[174],"that":[175],"larger":[177],"significantly":[186],"increases":[187],"accuracy":[189],"identification.":[194],"In":[195],"addition,":[196],"approach":[198],"generic":[201],"solution":[202],"almost":[204],"recognition":[207],"long":[210],"additional":[212],"(noisy)":[213],"can":[216],"be":[217],"obtained":[218],"Internet":[221],"automatically.":[222]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}