{"id":"https://openalex.org/W2139371061","doi":"https://doi.org/10.1145/1291233.1291301","title":"Clustering web images with multi-modal features","display_name":"Clustering web images with multi-modal features","publication_year":2007,"publication_date":"2007-09-29","ids":{"openalex":"https://openalex.org/W2139371061","doi":"https://doi.org/10.1145/1291233.1291301","mag":"2139371061"},"language":"en","primary_location":{"id":"doi:10.1145/1291233.1291301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","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/A5038950029","display_name":"Manjeet Rege","orcid":"https://orcid.org/0009-0003-7643-2598"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Manjeet Rege","raw_affiliation_strings":["Wayne State University, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, MI","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112047383","display_name":"Ming Dong","orcid":"https://orcid.org/0000-0003-4197-7267"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Dong","raw_affiliation_strings":["Wayne State University, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, MI","institution_ids":["https://openalex.org/I185443292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102022483","display_name":"Jing Hua","orcid":"https://orcid.org/0000-0002-3981-2933"},"institutions":[{"id":"https://openalex.org/I185443292","display_name":"Wayne State University","ror":"https://ror.org/01070mq45","country_code":"US","type":"education","lineage":["https://openalex.org/I185443292"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Hua","raw_affiliation_strings":["Wayne State University, Detroit, MI"],"affiliations":[{"raw_affiliation_string":"Wayne State University, Detroit, MI","institution_ids":["https://openalex.org/I185443292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038950029"],"corresponding_institution_ids":["https://openalex.org/I185443292"],"apc_list":null,"apc_paid":null,"fwci":1.9726,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87691315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"317","last_page":"320"},"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":0.9994000196456909,"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":0.9994000196456909,"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":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9936000108718872,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7900072336196899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7635941505432129},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.44341331720352173},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44254356622695923},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4291541278362274},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42219915986061096},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3960517346858978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3215569257736206},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2586365342140198}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7900072336196899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7635941505432129},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.44341331720352173},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44254356622695923},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4291541278362274},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42219915986061096},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3960517346858978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3215569257736206},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2586365342140198}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1291233.1291301","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1291233.1291301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM international conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.309.5902","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.309.5902","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wwwedit.cs.wayne.edu/~jinghua/publication/ACMMM-2007.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2038098381","https://openalex.org/W2075665712","https://openalex.org/W2117086609","https://openalex.org/W2117535285","https://openalex.org/W2121743855","https://openalex.org/W2133576408","https://openalex.org/W2145072179","https://openalex.org/W2152818382","https://openalex.org/W2153324543","https://openalex.org/W2154771901","https://openalex.org/W2162173340","https://openalex.org/W2162491758","https://openalex.org/W2296319761"],"related_works":["https://openalex.org/W2371352078","https://openalex.org/W2953461625","https://openalex.org/W2077383796","https://openalex.org/W2080136900","https://openalex.org/W2999799752","https://openalex.org/W2372768926","https://openalex.org/W2054458431","https://openalex.org/W2115167491","https://openalex.org/W2567825307","https://openalex.org/W3013576436"],"abstract_inverted_index":{"Web":[0,25,35,116,140],"image":[1,36,117,123],"clustering":[2,24,37,118],"has":[3,16,99],"drawn":[4],"significant":[5],"attention":[6],"in":[7,19,110,115],"the":[8,32,61,65,88,103,111],"research":[9],"community":[10],"recently.":[11],"However,":[12],"not":[13],"much":[14],"work":[15,108],"been":[17,100],"done":[18],"using":[20,67],"multi-modal":[21],"information":[22],"for":[23],"images.":[26,141],"In":[27,51],"this":[28,107,133],"paper,":[29],"we":[30,53],"address":[31],"problem":[33],"of":[34,41,64,79,106],"by":[38,87],"simultaneous":[39],"integration":[40],"visual":[42,55],"and":[43,58,119],"textual":[44],"features":[45],"from":[46,60],"a":[47,68,77,96],"graph":[48,72],"partitioning":[49],"perspective.":[50],"particular,":[52],"modelled":[54],"features,":[56],"images,":[57],"words":[59],"surrounding":[62],"text":[63],"images":[66],"tripartite":[69],"graph.":[70],"This":[71],"is":[73,127],"actually":[74],"considered":[75],"as":[76],"fusion":[78],"two":[80],"bipartite":[81],"graphs":[82],"that":[83,125],"are":[84],"partitioned":[85],"simultaneously":[86],"proposed":[89],"Consistent":[90],"Isoperimetric":[91],"High-order":[92],"Co-clustering(CIHC)":[93],"framework.":[94],"Although":[95],"similar":[97],"approach":[98],"adopted":[101],"before,":[102],"main":[104],"contribution":[105],"lies":[109],"computational":[112],"efficiency,":[113],"quality":[114],"scalability":[120],"to":[121,129],"large":[122],"repositories":[124],"CIHC":[126],"able":[128],"achieve.":[130],"We":[131],"demonstrate":[132],"through":[134],"experimental":[135],"results":[136],"performed":[137],"on":[138],"real":[139]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
