{"id":"https://openalex.org/W2151642876","doi":"https://doi.org/10.1109/icip.2011.6116166","title":"Online Vicept learning for web-scale image understanding","display_name":"Online Vicept learning for web-scale image understanding","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2151642876","doi":"https://doi.org/10.1109/icip.2011.6116166","mag":"2151642876"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5100420654","display_name":"Liang Li","orcid":"https://orcid.org/0000-0002-1943-8219"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Li","raw_affiliation_strings":["Key Laboratory of Intell. Information Process., Institute of Comput. Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intell. Information Process., Institute of Comput. Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085719285","display_name":"Shuqiang Jiang","orcid":"https://orcid.org/0000-0002-1596-4326"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuqiang Jiang","raw_affiliation_strings":["Key Laboratory of Intell. Information Process., Institute of Comput. Technology, Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intell. Information Process., Institute of Comput. Technology, Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028597017","display_name":"Qingming Huang","orcid":"https://orcid.org/0000-0001-7542-296X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingming Huang","raw_affiliation_strings":["Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Key Lab of Intell. Info. Process., Inst. of Comput. Tech., Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100420654"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18220312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2489","last_page":"2492"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9948999881744385,"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":0.9905999898910522,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8038647174835205},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5834884643554688},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.5411609411239624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5397741198539734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5319163203239441},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5144693851470947},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4496840834617615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44716182351112366},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4394541382789612},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4235283434391022},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.41134801506996155},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.17921918630599976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10664224624633789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8038647174835205},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5834884643554688},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.5411609411239624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5397741198539734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5319163203239441},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5144693851470947},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4496840834617615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44716182351112366},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4394541382789612},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4235283434391022},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.41134801506996155},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.17921918630599976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10664224624633789},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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":17,"referenced_works":["https://openalex.org/W1983407503","https://openalex.org/W2097018403","https://openalex.org/W2108598243","https://openalex.org/W2112447569","https://openalex.org/W2122825543","https://openalex.org/W2130335427","https://openalex.org/W2131846894","https://openalex.org/W2145607950","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2162915993","https://openalex.org/W3070706509","https://openalex.org/W3120421331","https://openalex.org/W4232730838","https://openalex.org/W6674642818","https://openalex.org/W6676297131","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W4249847449","https://openalex.org/W44395729","https://openalex.org/W2765338038","https://openalex.org/W1496225612","https://openalex.org/W1523500768","https://openalex.org/W2517629151","https://openalex.org/W1566843515","https://openalex.org/W4292850564","https://openalex.org/W2181660907","https://openalex.org/W4386191828"],"abstract_inverted_index":{"Web-scale":[0],"image":[1,11,127,130],"understanding":[2],"is":[3,119],"a":[4,30,110],"challenging":[5],"but":[6],"significant":[7],"task":[8],"to":[9,47,78],"comprehend":[10],"contents":[12],"on":[13,21,68,132],"the":[14,41,49,69,88,91,98,107,122,133],"internet.":[15],"The":[16,114],"de-facto":[17],"standard":[18],"methods":[19],"based":[20],"machine":[22],"learning":[23,66],"or":[24],"computer":[25],"vision":[26],"still":[27],"suffer":[28],"from":[29],"phenomenon":[31],"of":[32,71,84,90,97,116,124],"visual":[33,53],"pol-ysemia":[34],"and":[35,55,129,136],"concept":[36],"polymorphism":[37],"(VPCP).":[38],"To":[39],"resolve":[40],"VPCP,":[42],"Vicept":[43,65,108],"has":[44],"been":[45],"proposed":[46],"characterize":[48],"membership":[50],"distribution":[51],"between":[52],"appearances":[54],"semantic":[56,112,126],"concepts.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61,93],"propose":[62],"an":[63,95],"online":[64],"algorithm":[67],"base":[70],"stochastic":[72],"approximations,":[73],"which":[74],"can":[75],"scale":[76,80],"up":[77],"large":[79],"datasets":[81],"with":[82],"millions":[83],"training":[85],"samples.":[86],"With":[87],"help":[89],"Vicept,":[92],"develop":[94],"extension":[96],"spatial":[99],"pyramid":[100],"matching":[101],"(SPM)":[102],"kernel":[103],"method":[104],"by":[105],"generalizing":[106],"as":[109],"basic":[111],"description.":[113],"efficiency":[115],"our":[117],"approach":[118],"validated":[120],"in":[121],"experiments":[123],"web-scale":[125],"search":[128],"classification":[131],"ImageNet":[134],"dataset":[135],"Caltech-256":[137],"dataset.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
