{"id":"https://openalex.org/W2134928530","doi":"https://doi.org/10.1109/cvpr.2008.4587348","title":"Context-aware clustering","display_name":"Context-aware clustering","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2134928530","doi":"https://doi.org/10.1109/cvpr.2008.4587348","mag":"2134928530"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and 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/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7324-7034"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","[EECS Department, Northwestern University, Evanston, IL]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"[EECS Department, Northwestern University, Evanston, IL]","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101780958","display_name":"Ying Wu","orcid":"https://orcid.org/0009-0001-6768-5118"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Wu","raw_affiliation_strings":["EECS Department, Northwestern University, Evanston, IL, USA","[EECS Department, Northwestern University, Evanston, IL]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EECS Department, Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]},{"raw_affiliation_string":"[EECS Department, Northwestern University, Evanston, IL]","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.195,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92538753,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9991999864578247,"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":0.9991999864578247,"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":0.9984999895095825,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9970999956130981,"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":0.7302106022834778},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.668416440486908},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5322282910346985},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2435389757156372},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10354474186897278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302106022834778},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.668416440486908},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5322282910346985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2435389757156372},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10354474186897278},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.160.9083","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.160.9083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ece.northwestern.edu/~yingwu/papers/conference/2008/CVPR2008d_Clustering_final.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2048679005","https://openalex.org/W2057175746","https://openalex.org/W2097482646","https://openalex.org/W2101098151","https://openalex.org/W2117154949","https://openalex.org/W2128057924","https://openalex.org/W2136294701","https://openalex.org/W2137137397","https://openalex.org/W2141729354","https://openalex.org/W2144502914","https://openalex.org/W2148214025","https://openalex.org/W2149991777","https://openalex.org/W2150145411","https://openalex.org/W2151103935","https://openalex.org/W2154514442","https://openalex.org/W2170146448","https://openalex.org/W2205593472","https://openalex.org/W6674896937","https://openalex.org/W6677328822","https://openalex.org/W6682265384"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Most":[0],"existing":[1],"methods":[2],"of":[3,81,92,104,110,143,165],"semi-supervised":[4],"clustering":[5,20,83,97,114],"introduce":[6,17],"supervision":[7,30,64,177],"from":[8,32],"outside,":[9],"e.g.,":[10],"manually":[11],"label":[12],"some":[13],"data":[14,38,42,58,134,167],"samples":[15,43],"or":[16],"constrains":[18],"into":[19],"results.":[21],"This":[22,69],"paper":[23],"studies":[24],"an":[25,153],"interesting":[26],"problem:":[27],"can":[28,48,115],"the":[29,35,41,50,54,57,67,123,133,141,162,166],"come":[31],"inside,":[33],"i.e.,":[34],"unsupervised":[36],"training":[37],"themselves?":[39],"If":[40],"are":[44],"not":[45],"independent,":[46],"we":[47],"capture":[49],"contextual":[51,105,124,144],"information":[52,125],"reflecting":[53],"dependency":[55],"among":[56,107],"samples,":[59,168],"and":[60,95,140],"use":[61],"it":[62],"as":[63,127,174],"to":[65,131,151,158],"improve":[66],"clustering.":[68,73],"is":[70,76,149,171,178],"called":[71],"context-aware":[72,113],"The":[74],"investigation":[75],"substantialized":[77],"on":[78],"two":[79],"scenarios":[80],"(1)":[82],"primitive":[84],"visual":[85],"features":[86],"(e.g.,":[87],"SIFT":[88],"features)":[89],"with":[90,102],"help":[91,103],"spatial":[93],"contexts,":[94],"(2)":[96],"\u20180\u2019\u2013\u20189\u2019":[98],"hand":[99],"written":[100],"digits":[101],"patterns":[106],"different":[108],"types":[109],"features.":[111],"Our":[112],"be":[116],"well":[117],"formulated":[118],"in":[119,136],"a":[120,128],"closed-form,":[121],"where":[122],"serves":[126],"regularization":[129],"term":[130],"balance":[132],"fidelity":[135],"original":[137],"feature":[138],"space":[139],"influences":[142],"patterns.":[145],"A":[146],"nested-EM":[147],"algorithm":[148],"proposed":[150],"obtain":[152],"efficient":[154],"solution,":[155],"which":[156],"proves":[157],"converge.":[159],"By":[160],"exploring":[161],"dependent":[163],"structure":[164],"this":[169],"method":[170],"completely":[172],"unsupervised,":[173],"no":[175],"outside":[176],"introduced.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
