{"id":"https://openalex.org/W2012599677","doi":"https://doi.org/10.1145/1277741.1277764","title":"Laplacian optimal design for image retrieval","display_name":"Laplacian optimal design for image retrieval","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2012599677","doi":"https://doi.org/10.1145/1277741.1277764","mag":"2012599677"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5102013345","display_name":"Xiaofei He","orcid":"https://orcid.org/0009-0001-9107-2354"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaofei He","raw_affiliation_strings":["Yahoo!"],"affiliations":[{"raw_affiliation_string":"Yahoo!","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072044032","display_name":"Wanli Min","orcid":null},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wanli Min","raw_affiliation_strings":["IBM","IBM, ,"],"affiliations":[{"raw_affiliation_string":"IBM","institution_ids":[]},{"raw_affiliation_string":"IBM, ,","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037942269","display_name":"Deng Cai","orcid":"https://orcid.org/0000-0001-9817-4065"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I308392441","display_name":"International University of the Caribbean","ror":"https://ror.org/02rv57d03","country_code":"JM","type":"education","lineage":["https://openalex.org/I308392441"]}],"countries":["JM","US"],"is_corresponding":false,"raw_author_name":"Deng Cai","raw_affiliation_strings":["UIUC","UIUC#TAB#"],"affiliations":[{"raw_affiliation_string":"UIUC","institution_ids":["https://openalex.org/I308392441"]},{"raw_affiliation_string":"UIUC#TAB#","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722046","display_name":"Kun Zhou","orcid":"https://orcid.org/0000-0001-9592-6575"},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Kun Zhou","raw_affiliation_strings":["Microsoft"],"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102013345"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":2.3014,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.88550781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"119","last_page":"126"},"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":0.9995999932289124,"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"}},"topics":[{"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/T10824","display_name":"Image Retrieval and Classification 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/T12072","display_name":"Machine Learning and Algorithms","score":0.9980000257492065,"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/relevance-feedback","display_name":"Relevance feedback","score":0.8584444522857666},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.7954044938087463},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7055302858352661},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6093055605888367},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5871903896331787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5747255682945251},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5302303433418274},{"id":"https://openalex.org/keywords/laplace-operator","display_name":"Laplace operator","score":0.5245687961578369},{"id":"https://openalex.org/keywords/content-based-image-retrieval","display_name":"Content-based image retrieval","score":0.5026631355285645},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4912535548210144},{"id":"https://openalex.org/keywords/laplacian-matrix","display_name":"Laplacian matrix","score":0.4860256314277649},{"id":"https://openalex.org/keywords/automatic-image-annotation","display_name":"Automatic image annotation","score":0.4184868633747101},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.40201929211616516},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3340200185775757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2247108817100525},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11968889832496643}],"concepts":[{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8584444522857666},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.7954044938087463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7055302858352661},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6093055605888367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5871903896331787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5747255682945251},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5302303433418274},{"id":"https://openalex.org/C165700671","wikidata":"https://www.wikidata.org/wiki/Q203484","display_name":"Laplace operator","level":2,"score":0.5245687961578369},{"id":"https://openalex.org/C2780052074","wikidata":"https://www.wikidata.org/wiki/Q1128648","display_name":"Content-based image retrieval","level":4,"score":0.5026631355285645},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4912535548210144},{"id":"https://openalex.org/C115178988","wikidata":"https://www.wikidata.org/wiki/Q772067","display_name":"Laplacian matrix","level":3,"score":0.4860256314277649},{"id":"https://openalex.org/C199579030","wikidata":"https://www.wikidata.org/wiki/Q2851778","display_name":"Automatic image annotation","level":4,"score":0.4184868633747101},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.40201929211616516},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3340200185775757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2247108817100525},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11968889832496643},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1277741.1277764","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.85.2304","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.85.2304","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/users/kunzhou/publications/LOD.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1521983741","https://openalex.org/W1578099820","https://openalex.org/W2026693436","https://openalex.org/W2066060819","https://openalex.org/W2070473734","https://openalex.org/W2091503252","https://openalex.org/W2101498401","https://openalex.org/W2103369961","https://openalex.org/W2104290444","https://openalex.org/W2113169966","https://openalex.org/W2114188922","https://openalex.org/W2114994812","https://openalex.org/W2115512833","https://openalex.org/W2121004760","https://openalex.org/W2130660124","https://openalex.org/W2134814621","https://openalex.org/W2138079527","https://openalex.org/W2144407188","https://openalex.org/W2153356636","https://openalex.org/W2155099190","https://openalex.org/W2156602393","https://openalex.org/W2162657934","https://openalex.org/W2570764145","https://openalex.org/W2595697910","https://openalex.org/W2997701990","https://openalex.org/W3097925195","https://openalex.org/W6675681062","https://openalex.org/W6683345173","https://openalex.org/W6857895976"],"related_works":["https://openalex.org/W79946180","https://openalex.org/W1606474234","https://openalex.org/W1497114142","https://openalex.org/W2133641558","https://openalex.org/W2096561479","https://openalex.org/W2028063938","https://openalex.org/W2385736320","https://openalex.org/W2573424097","https://openalex.org/W2411245752","https://openalex.org/W2031096531"],"abstract_inverted_index":{"Relevance":[0],"feedback":[1,103,225],"is":[2,31,59,108],"a":[3,36,91,111,161,198],"powerful":[4],"technique":[5],"to":[6,34,38,61,147,193],"enhance":[7],"Content-Based":[8],"Image":[9],"Retrieval":[10],"(CBIR)":[11],"performance.":[12],"It":[13],"solicits":[14],"the":[15,20,25,46,53,68,73,75,116,121,129,134,165,169,176,184,205,217],"user\u2019s":[16,29],"relevance":[17,102,224],"judgments":[18],"on":[19,110,120,212],"retrieved":[21],"images":[22,49,65,125,143],"returned":[23,48],"by":[24,175],"CBIR":[26],"systems.":[27],"The":[28,57],"labeling":[30],"then":[32,150],"used":[33,82,192],"learn":[35],"classifier":[37,74],"distinguish":[39],"between":[40],"relevant":[41],"and":[42,81,126],"irrelevant":[43],"images.":[44],"However,":[45],"top":[47],"may":[50,190],"not":[51],"be":[52,67,173,191],"most":[54,69,206],"informative":[55,70],"ones.":[56],"challenge":[58],"thus":[60],"determine":[62],"which":[63,114,202],"unlabeled":[64],"would":[66],"(i.e.,":[71],"improve":[72],"most)":[76],"if":[77,141],"they":[78],"were":[79],"labeled":[80],"as":[83,157],"training":[84],"samples.":[85],"In":[86],"this":[87],"paper,":[88],"we":[89,138],"propose":[90],"novel":[92],"active":[93],"learning":[94],"algorithm,":[95],"called":[96],"Laplacian":[97],"Optimal":[98],"Design":[99],"(LOD),":[100],"for":[101],"image":[104,135,170,226],"retrieval.":[105,227],"Our":[106],"algorithm":[107],"based":[109],"regression":[112],"model":[113],"minimizes":[115],"least":[117],"square":[118],"error":[119],"measured":[122],"(or,":[123,153],"labeled)":[124],"simultaneously":[127],"preserves":[128],"local":[130],"geometrical":[131,166],"structure":[132,167],"of":[133,168,186,197,200,208],"space.":[136],"Specifically,":[137],"assume":[139],"that":[140,216],"two":[142],"are":[144,155],"sufficiently":[145],"close":[146,156],"each":[148],"other,":[149],"their":[151],"measurements":[152],"labels)":[154],"well.":[158],"By":[159],"constructing":[160],"nearest":[162],"neighbor":[163],"graph,":[164],"space":[171],"can":[172],"described":[174],"graph":[177],"Laplacian.":[178],"We":[179],"discuss":[180],"how":[181],"results":[182,211],"from":[183],"field":[185],"optimal":[187],"experimental":[188],"design":[189],"guide":[194],"our":[195],"selection":[196],"subset":[199],"images,":[201],"gives":[203],"us":[204],"amount":[207],"information.":[209],"Experimental":[210],"Corel":[213],"database":[214],"suggest":[215],"proposed":[218],"approach":[219],"achieves":[220],"higher":[221],"precision":[222],"in":[223]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
