{"id":"https://openalex.org/W2142109962","doi":"https://doi.org/10.1109/cvpr.2011.5995740","title":"Heterogeneous image feature integration via multi-modal spectral clustering","display_name":"Heterogeneous image feature integration via multi-modal spectral clustering","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2142109962","doi":"https://doi.org/10.1109/cvpr.2011.5995740","mag":"2142109962"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2011.5995740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","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/A5034602949","display_name":"Xiao Cai","orcid":"https://orcid.org/0000-0002-9143-5629"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Cai","raw_affiliation_strings":["Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003222421","display_name":"Feiping Nie","orcid":"https://orcid.org/0000-0002-0871-6519"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Feiping Nie","raw_affiliation_strings":["Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060016795","display_name":"Heng Huang","orcid":"https://orcid.org/0000-0002-3483-8333"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Huang","raw_affiliation_strings":["Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001793251","display_name":"Farhad Kamangar","orcid":"https://orcid.org/0000-0001-7204-0296"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farhad Kamangar","raw_affiliation_strings":["Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas, Arlington, Arlington, TX, USA","institution_ids":["https://openalex.org/I189196454"]},{"raw_affiliation_string":"Computer Science and Engineering Department, University of Texas at Arlington, 500 UTA Boulevard, Arlington, TX","institution_ids":["https://openalex.org/I189196454"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189196454"],"apc_list":null,"apc_paid":null,"fwci":8.1136,"has_fulltext":false,"cited_by_count":261,"citation_normalized_percentile":{"value":0.98128144,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1977","last_page":"1984"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976000189781189,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7496712803840637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6809940338134766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6727490425109863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6356154680252075},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.5980989933013916},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5682419538497925},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.524928629398346},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49404576420783997},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4860997200012207},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4421994090080261},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.4301193058490753},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4112427234649658},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4038359224796295},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3973027169704437},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3776819109916687},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.06523972749710083},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06475940346717834}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7496712803840637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6809940338134766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6727490425109863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6356154680252075},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.5980989933013916},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5682419538497925},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.524928629398346},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49404576420783997},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4860997200012207},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4421994090080261},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4301193058490753},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4112427234649658},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4038359224796295},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3973027169704437},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3776819109916687},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.06523972749710083},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06475940346717834},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2011.5995740","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2011.5995740","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.703.3991","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.703.3991","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.escience.cn/system/file?fileId%3D72241","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"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1566135517","https://openalex.org/W1677409904","https://openalex.org/W1880262756","https://openalex.org/W2103658758","https://openalex.org/W2104978738","https://openalex.org/W2107034620","https://openalex.org/W2119474464","https://openalex.org/W2125810619","https://openalex.org/W2130623086","https://openalex.org/W2130664853","https://openalex.org/W2134529554","https://openalex.org/W2134731454","https://openalex.org/W2135674549","https://openalex.org/W2151103935","https://openalex.org/W2152322845","https://openalex.org/W2155904486","https://openalex.org/W2158911526","https://openalex.org/W2159184562","https://openalex.org/W2161969291","https://openalex.org/W2163352848","https://openalex.org/W2165874743","https://openalex.org/W2166781916","https://openalex.org/W2171571997","https://openalex.org/W2172191903","https://openalex.org/W4237791300","https://openalex.org/W6637400245","https://openalex.org/W6678531455","https://openalex.org/W6683233156","https://openalex.org/W6684578312","https://openalex.org/W6684734391","https://openalex.org/W6685124330"],"related_works":["https://openalex.org/W2541791370","https://openalex.org/W2035976912","https://openalex.org/W3094187672","https://openalex.org/W1504288058","https://openalex.org/W2921707373","https://openalex.org/W4386597354","https://openalex.org/W2331674254","https://openalex.org/W2811390910","https://openalex.org/W2546942002","https://openalex.org/W3195820617"],"abstract_inverted_index":{"In":[0,40],"recent":[1],"years,":[2],"more":[3,5],"and":[4,14,62,108,133,143,150],"visual":[6,26],"descriptors":[7],"have":[8],"been":[9],"proposed":[10],"to":[11,29,48,81,104,118],"describe":[12,21],"objects":[13],"scenes":[15],"appearing":[16],"in":[17,101],"images.":[18,64],"Different":[19],"features":[20,33,53],"different":[22,91],"aspects":[23],"of":[24,68,110,122],"the":[25,106,135],"characteristics.":[27],"How":[28],"combine":[30],"these":[31],"heterogeneous":[32,52],"has":[34],"become":[35],"an":[36],"increasing":[37],"critical":[38],"problem.":[39],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,83],"novel":[46],"approach":[47,155],"unsupervised":[49,148],"integrate":[50,119],"such":[51],"by":[54,89,137,161],"performing":[55],"multi-modal":[56,75],"spectral":[57,76],"clustering":[58,77,164],"on":[59],"unlabeled":[60],"images":[61],"unsegmented":[63],"Considering":[65],"each":[66],"type":[67],"feature":[69],"as":[70],"one":[71],"modal,":[72],"our":[73,102,115,154],"new":[74],"(MMSC)":[78],"algorithm":[79],"is":[80,98],"learn":[82],"commonly":[84],"shared":[85],"graph":[86],"Laplacian":[87],"matrix":[88],"unifying":[90],"modals":[92],"(image":[93],"features).":[94],"A":[95],"non-negative":[96],"relaxation":[97],"also":[99],"added":[100],"method":[103,117],"improve":[105],"robustness":[107],"efficiency":[109],"image":[111,125],"clustering.":[112],"We":[113],"applied":[114],"MMSC":[116],"five":[120],"types":[121],"popularly":[123],"used":[124],"features,":[126],"including":[127],"SIFT,":[128],"HOG,":[129],"GIST,":[130],"LBP,":[131],"CENTRIST":[132],"evaluated":[134],"performance":[136],"two":[138],"benchmark":[139],"data":[140],"sets:":[141],"Caltech-101":[142],"MSRC-v1.":[144],"Compared":[145],"with":[146],"existing":[147],"scene":[149],"object":[151],"categorization":[152],"methods,":[153],"always":[156],"achieves":[157],"superior":[158],"performances":[159],"measured":[160],"three":[162],"standard":[163],"evaluation":[165],"metrices.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":25},{"year":2018,"cited_by_count":30},{"year":2017,"cited_by_count":31},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":20},{"year":2014,"cited_by_count":13},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}