{"id":"https://openalex.org/W2134492686","doi":"https://doi.org/10.1109/icme.2008.4607661","title":"Clustering-based subspace SVM ensemble for relevance feedback learning","display_name":"Clustering-based subspace SVM ensemble for relevance feedback learning","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2134492686","doi":"https://doi.org/10.1109/icme.2008.4607661","mag":"2134492686"},"language":"en","primary_location":{"id":"doi:10.1109/icme.2008.4607661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},"type":"conference-paper","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/A5016080094","display_name":"Rongrong Ji","orcid":"https://orcid.org/0000-0001-9163-2932"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongrong Ji","raw_affiliation_strings":["Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","Visual Intell. Lab., Harbin Inst. of Technol., Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Visual Intell. Lab., Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101176063","display_name":"Hongxun Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongxun Yao","raw_affiliation_strings":["Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","Visual Intell. Lab., Harbin Inst. of Technol., Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Visual Intell. Lab., Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644809","display_name":"Jicheng Wang","orcid":"https://orcid.org/0009-0001-3131-0568"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jicheng Wang","raw_affiliation_strings":["Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","Visual Intell. Lab., Harbin Inst. of Technol., Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Visual Intell. Lab., Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100600606","display_name":"Pengfei Xu","orcid":"https://orcid.org/0000-0003-1067-3607"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengfei Xu","raw_affiliation_strings":["Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","Visual Intell. Lab., Harbin Inst. of Technol., Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Visual Intell. Lab., Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654386","display_name":"Xianming Liu","orcid":"https://orcid.org/0000-0002-0039-2281"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianming Liu","raw_affiliation_strings":["Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","Visual Intell. Lab., Harbin Inst. of Technol., Harbin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Visual Intelligence Laboratory, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Visual Intell. Lab., Harbin Inst. of Technol., Harbin","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1221","last_page":"1224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9934999942779541,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.741528332233429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7403417825698853},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7059959173202515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6230839490890503},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6055751442909241},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5660955905914307},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.5322195291519165},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5184192657470703},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.5128210186958313},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4298032820224762},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41686782240867615},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4104991853237152}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.741528332233429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7403417825698853},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7059959173202515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6230839490890503},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6055751442909241},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5660955905914307},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5322195291519165},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5184192657470703},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.5128210186958313},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4298032820224762},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41686782240867615},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4104991853237152},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icme.2008.4607661","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme.2008.4607661","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on Multimedia and Expo","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.567.612","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.567.612","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.jdl.ac.cn/doc/2008/2008_ICME08_Clustering-based subspace SVM ensemble for relevance feedback learning.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7400000095367432,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1988790447","https://openalex.org/W2022692239","https://openalex.org/W2054658115","https://openalex.org/W2090425484","https://openalex.org/W2111048828","https://openalex.org/W2123179592","https://openalex.org/W2127753881","https://openalex.org/W2130660124","https://openalex.org/W2133566592","https://openalex.org/W2138079527","https://openalex.org/W2138516811","https://openalex.org/W2139212933","https://openalex.org/W2172177790","https://openalex.org/W4237065586","https://openalex.org/W6685190342"],"related_works":["https://openalex.org/W4382315444","https://openalex.org/W4233259193","https://openalex.org/W2600353413","https://openalex.org/W2432727369","https://openalex.org/W4381298925","https://openalex.org/W4285213578","https://openalex.org/W2097856925","https://openalex.org/W4298012357","https://openalex.org/W3210229324","https://openalex.org/W3005597817"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"subspace":[4,120],"SVM":[5,125,165,170],"ensemble":[6],"algorithm":[7],"for":[8,142],"adaptive":[9],"relevance":[10,22],"feedback":[11,23],"(RF)":[12],"learning.":[13],"Our":[14],"method":[15,153],"deals":[16],"with":[17],"the":[18,36,105,138,177],"case":[19],"that":[20,73],"user\u2019s":[21],"examples":[24],"are":[25,51,133],"usually":[26],"insufficient":[27],"and":[28,66],"overlapped":[29],"together":[30],"in":[31,46,98,123,154],"feature":[32,88,106,119],"space,":[33],"which":[34,60,116],"decreases":[35],"learning":[37],"effectiveness":[38],"of":[39,59,95,130,179],"RF":[40,152],"classifiers.":[41],"To":[42,78],"enhance":[43],"classification":[44],"efficiency":[45,178],"such":[47],"case,":[48],"multiple":[49,131],"SVMs":[50,132,150],"learned":[52],"by":[53,109],"clustering-based":[54],"training":[55],"set":[56],"partition,":[57],"each":[58,85],"fits":[61],"its":[62],"cluster-specific":[63,124],"sample":[64,82],"distribution":[65,83],"gives":[67],"labeling":[68,140],"regressions":[69],"to":[70,81,136],"test":[71,143],"samples":[72],"fall":[74],"within":[75,84],"this":[76],"cluster.":[77],"adapt":[79],"features":[80],"cluster,":[86],"AdaBoost":[87],"selection":[89],"is":[90,121],"conducted":[91],"onto":[92],"pyramid":[93],"Haar":[94],"H&I":[96],"bands":[97],"HSI":[99],"space.":[100],"In":[101],"AdaBoost,":[102],"we":[103],"evaluate":[104],"discriminative":[107],"ability":[108],"an":[110,117],"entropy-based":[111],"uncertainty":[112],"criterion,":[113],"based":[114],"on":[115],"Eigen":[118],"constructed":[122],"training.":[126],"Finally,":[127],"regression":[128],"results":[129,175],"probabilistic":[134],"assembled":[135],"give":[137],"final":[139],"prediction":[141],"image.":[144],"We":[145],"compare":[146],"our":[147,180],"cluster-based":[148],"cascade":[149],"(CSS)":[151],"COREL":[155],"5,000":[156],"database":[157],"with:":[158],"1.":[159],"Single":[160],"SVM;":[161],"2.":[162],"Active":[163],"Learning":[164],"[5];":[166],"3.":[167],"Bootstrap":[168],"Sampling":[169],"[7].":[171],"The":[172],"superior":[173],"experimental":[174],"demonstrate":[176],"algorithm.":[181]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
