{"id":"https://openalex.org/W2548236070","doi":"https://doi.org/10.1109/acpr.2011.6166597","title":"Interclass visual similarity based visual vocabulary learning","display_name":"Interclass visual similarity based visual vocabulary learning","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2548236070","doi":"https://doi.org/10.1109/acpr.2011.6166597","mag":"2548236070"},"language":"en","primary_location":{"id":"doi:10.1109/acpr.2011.6166597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","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/A5076954929","display_name":"Guangming Chang","orcid":null},"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"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangming Chang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073443599","display_name":"Chunfen Yuan","orcid":null},"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"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfen Yuan","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114549594","display_name":"Weiming Hu","orcid":"https://orcid.org/0000-0001-9237-8825"},"institutions":[{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]},{"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":"Weiming Hu","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076954929"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34171775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3878","issue":null,"first_page":"465","last_page":"469"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9995999932289124,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9990000128746033,"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/vocabulary","display_name":"Vocabulary","score":0.7856310606002808},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.7475687861442566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7224254608154297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7098667621612549},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6374057531356812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5831449031829834},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.5124828815460205},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45497724413871765},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.41492384672164917},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3722682595252991},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33314040303230286},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28129804134368896}],"concepts":[{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.7856310606002808},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7475687861442566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7224254608154297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7098667621612549},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6374057531356812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5831449031829834},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.5124828815460205},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45497724413871765},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.41492384672164917},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3722682595252991},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33314040303230286},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28129804134368896},{"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/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/acpr.2011.6166597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acpr.2011.6166597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The First Asian Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1508406818","https://openalex.org/W1553150669","https://openalex.org/W1986482242","https://openalex.org/W1991980054","https://openalex.org/W2020163092","https://openalex.org/W2052487339","https://openalex.org/W2100916003","https://openalex.org/W2107034620","https://openalex.org/W2110142955","https://openalex.org/W2119799051","https://openalex.org/W2129418188","https://openalex.org/W2161969291","https://openalex.org/W2164720308","https://openalex.org/W2164860686","https://openalex.org/W2543747381","https://openalex.org/W6630414125","https://openalex.org/W6632952915","https://openalex.org/W6675296101","https://openalex.org/W6676671045","https://openalex.org/W6679000042","https://openalex.org/W6729126614","https://openalex.org/W7075742223"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2032548952","https://openalex.org/W2019538911","https://openalex.org/W2467200550","https://openalex.org/W1996805379","https://openalex.org/W4234584818"],"abstract_inverted_index":{"Visual":[0],"vocabulary":[1,99,115],"is":[2],"now":[3],"widely":[4],"used":[5],"in":[6,103],"many":[7],"video":[8,15,18],"analysis":[9],"tasks,":[10],"such":[11],"as":[12],"event":[13],"detection,":[14],"retrieval":[16],"and":[17,33,66,91,105],"classification.":[19],"In":[20,51],"most":[21],"approaches":[22],"the":[23,43,61,72,85,88,93,113],"vocabularies":[24],"are":[25],"solely":[26],"based":[27,116],"on":[28],"statistics":[29],"of":[30,74,81],"visual":[31,63,75,98],"features":[32],"generated":[34],"by":[35,118],"clustering.":[36],"Little":[37],"attention":[38],"has":[39],"been":[40],"paid":[41],"to":[42,59,70,87,96],"interclass":[44,62,82],"similarity":[45,64,86],"among":[46],"different":[47],"events":[48],"or":[49],"actions.":[50],"this":[52],"paper,":[53],"we":[54],"present":[55],"a":[56,79],"novel":[57],"approach":[58,111,117],"mine":[60],"statistically":[65],"then":[67],"use":[68,92],"it":[69],"supervise":[71],"generation":[73],"vocabulary.":[76],"We":[77],"construct":[78],"measurement":[80],"similarity,":[83],"embed":[84],"Euclidean":[89],"distance":[90,95],"refined":[94],"generate":[97],"iteratively.":[100],"The":[101],"experiments":[102],"Weizmann":[104],"KTH":[106],"datasets":[107],"show":[108],"that":[109],"our":[110],"outperforms":[112],"traditional":[114],"about":[119],"5%.":[120]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}