{"id":"https://openalex.org/W2153134545","doi":"https://doi.org/10.1109/icpr.2002.1047417","title":"Building a latent semantic index of an image database from patterns of relevance feedback","display_name":"Building a latent semantic index of an image database from patterns of relevance feedback","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2153134545","doi":"https://doi.org/10.1109/icpr.2002.1047417","mag":"2153134545"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1047417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5108241812","display_name":"Douglas R. Heisterkamp","orcid":null},"institutions":[{"id":"https://openalex.org/I115475287","display_name":"Oklahoma State University","ror":"https://ror.org/01g9vbr38","country_code":"US","type":"education","lineage":["https://openalex.org/I115475287"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"D.R. Heisterkamp","raw_affiliation_strings":["Department of Computer Science, Oklahoma State University, Stillwater, OK, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Oklahoma State University, Stillwater, OK, USA","institution_ids":["https://openalex.org/I115475287"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108241812"],"corresponding_institution_ids":["https://openalex.org/I115475287"],"apc_list":null,"apc_paid":null,"fwci":6.4603,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.97111797,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"4","issue":null,"first_page":"134","last_page":"137"},"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":0.9976999759674072,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.844330906867981},{"id":"https://openalex.org/keywords/relevance-feedback","display_name":"Relevance feedback","score":0.8439576625823975},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.8063749074935913},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7724778652191162},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.761343240737915},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.6774952411651611},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.5293933749198914},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.487794429063797},{"id":"https://openalex.org/keywords/semantic-computing","display_name":"Semantic computing","score":0.4692031741142273},{"id":"https://openalex.org/keywords/explicit-semantic-analysis","display_name":"Explicit semantic analysis","score":0.4608229398727417},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.4567050635814667},{"id":"https://openalex.org/keywords/semantic-analysis","display_name":"Semantic analysis (machine learning)","score":0.44026994705200195},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.3780251145362854},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32355019450187683},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2976652979850769},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2702638506889343},{"id":"https://openalex.org/keywords/semantic-technology","display_name":"Semantic technology","score":0.24220964312553406},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.23200532793998718},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14038434624671936}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.844330906867981},{"id":"https://openalex.org/C2779532271","wikidata":"https://www.wikidata.org/wiki/Q445558","display_name":"Relevance feedback","level":4,"score":0.8439576625823975},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.8063749074935913},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7724778652191162},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.761343240737915},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.6774952411651611},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.5293933749198914},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.487794429063797},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.4692031741142273},{"id":"https://openalex.org/C173862523","wikidata":"https://www.wikidata.org/wiki/Q5421270","display_name":"Explicit semantic analysis","level":5,"score":0.4608229398727417},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.4567050635814667},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.44026994705200195},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.3780251145362854},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32355019450187683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2976652979850769},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2702638506889343},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.24220964312553406},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.23200532793998718},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14038434624671936},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icpr.2002.1047417","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1047417","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.59.5621","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.59.5621","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.okstate.edu/~doug/publications/dh_icpr02_lsi.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1504388412","https://openalex.org/W1515381890","https://openalex.org/W1533471698","https://openalex.org/W1654865708","https://openalex.org/W1658719554","https://openalex.org/W1977261934","https://openalex.org/W2100911004","https://openalex.org/W2147152072","https://openalex.org/W2799061466","https://openalex.org/W3112020351","https://openalex.org/W4230946174","https://openalex.org/W6630249604"],"related_works":["https://openalex.org/W2890241594","https://openalex.org/W1690254038","https://openalex.org/W2267563544","https://openalex.org/W2367834105","https://openalex.org/W2104074092","https://openalex.org/W2153134545","https://openalex.org/W2913463616","https://openalex.org/W4241948267","https://openalex.org/W35630292","https://openalex.org/W4246972993"],"abstract_inverted_index":{"This":[0],"paper":[1,32],"proposes":[2],"a":[3,52,86],"novel":[4],"view":[5,21,28],"of":[6,38,72,85,88],"the":[7,35,39,42,45,57,64,69,73,83,102],"information":[8,66,80],"generated":[9],"by":[10],"relevance":[11,49,60],"feedback.":[12],"The":[13,27,78],"latent":[14,95,103],"semantic":[15,70,96,104],"analysis":[16],"is":[17,33,41,51,106],"adapted":[18],"to":[19,22,94,100],"this":[20,31],"extract":[23],"useful":[24],"inter-query":[25,79],"information.":[26],"presented":[29,107],"in":[30,44],"that":[34,48,76],"fundamental":[36],"vocabulary":[37],"system":[40],"images":[43],"database":[46],"and":[47,108],"feedback":[50,61],"document":[53,62],"whose":[54],"words":[55],"are":[56],"images.":[58],"A":[59],"contains":[63],"intra-query":[65],"which":[67,90],"expresses":[68],"intent":[71],"user":[74],"over":[75],"query.":[77],"then":[81],"takes":[82],"form":[84],"collection":[87],"documents":[89],"can":[91],"be":[92],"subjected":[93],"analysis.":[97],"An":[98],"algorithm":[99],"query":[101],"index":[105],"evaluated":[109],"against":[110],"real":[111],"data":[112],"sets.":[113]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
