{"id":"https://openalex.org/W2056918764","doi":"https://doi.org/10.1109/cbmi.2014.6849825","title":"Inverse square rank fusion for multimodal search","display_name":"Inverse square rank fusion for multimodal search","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2056918764","doi":"https://doi.org/10.1109/cbmi.2014.6849825","mag":"2056918764"},"language":"en","primary_location":{"id":"doi:10.1109/cbmi.2014.6849825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","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/A5054271164","display_name":"Andr\u00e9 Mour\u00e3o","orcid":"https://orcid.org/0000-0002-9912-4235"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Andre Mourao","raw_affiliation_strings":["Dep. Computer Science, Universidade Nova Lisboa, Portugal","Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Dep. Computer Science, Universidade Nova Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]},{"raw_affiliation_string":"Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071766423","display_name":"Fl\u00e1vio Martins","orcid":"https://orcid.org/0000-0003-4997-3973"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Flavio Martins","raw_affiliation_strings":["Dep. Computer Science, Universidade Nova Lisboa, Portugal","Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Dep. Computer Science, Universidade Nova Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]},{"raw_affiliation_string":"Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002705720","display_name":"Jo\u00e3o Magalh\u00e3es","orcid":"https://orcid.org/0000-0001-6290-5719"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Joao Magalhaes","raw_affiliation_strings":["Dep. Computer Science, Universidade Nova Lisboa, Portugal","Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Dep. Computer Science, Universidade Nova Lisboa, Portugal","institution_ids":["https://openalex.org/I83558840"]},{"raw_affiliation_string":"Dept. Comput. Sci., Univ. Nova Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054271164"],"corresponding_institution_ids":["https://openalex.org/I83558840"],"apc_list":null,"apc_paid":null,"fwci":0.7316,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.75853257,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/rank","display_name":"Rank (graph theory)","score":0.6741129159927368},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6461100578308105},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.6220712661743164},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5368500351905823},{"id":"https://openalex.org/keywords/fusion-rules","display_name":"Fusion rules","score":0.5087304711341858},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5009765625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4928855895996094},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4771822690963745},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4488601088523865},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4242198169231415},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.41512852907180786},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4135951101779938},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3918212950229645},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24085620045661926}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6741129159927368},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6461100578308105},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.6220712661743164},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5368500351905823},{"id":"https://openalex.org/C2778971668","wikidata":"https://www.wikidata.org/wiki/Q5510284","display_name":"Fusion rules","level":4,"score":0.5087304711341858},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5009765625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4928855895996094},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771822690963745},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4488601088523865},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4242198169231415},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.41512852907180786},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4135951101779938},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3918212950229645},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24085620045661926},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbmi.2014.6849825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbmi.2014.6849825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1970461679","https://openalex.org/W1988686126","https://openalex.org/W2042024605","https://openalex.org/W2056714990","https://openalex.org/W2060494110","https://openalex.org/W2078396654","https://openalex.org/W2087696423","https://openalex.org/W2108862644","https://openalex.org/W2120401584","https://openalex.org/W2128877075","https://openalex.org/W2142537246","https://openalex.org/W2146081744","https://openalex.org/W2148972377","https://openalex.org/W2170907675","https://openalex.org/W2294218214","https://openalex.org/W4237853473","https://openalex.org/W4285719527","https://openalex.org/W6677878908"],"related_works":["https://openalex.org/W2379054866","https://openalex.org/W4312837757","https://openalex.org/W2365272667","https://openalex.org/W2350118068","https://openalex.org/W3132484442","https://openalex.org/W2380797991","https://openalex.org/W2390583925","https://openalex.org/W2798483734","https://openalex.org/W2989686256","https://openalex.org/W1994925801"],"abstract_inverted_index":{"Rank":[0,32,65],"fusion":[1,21,33,66,76,112],"is":[2,18],"the":[3,26,62,115,135],"task":[4],"of":[5,71],"combining":[6,42],"multiple":[7,39,45],"ranked":[8,15],"document":[9,85,138],"lists":[10],"(ranks)":[11],"into":[12],"a":[13,19,69,129],"single":[14],"list.":[16],"It":[17],"late":[20],"approach":[22],"designed":[23],"to":[24],"improve":[25],"rankings":[27],"produced":[28],"by":[29],"individual":[30],"systems.":[31],"techniques":[34],"have":[35],"been":[36],"applied":[37],"throughout":[38],"domains:":[40],"e.g.":[41],"results":[43],"from":[44],"retrieval":[46],"functions,":[47],"or":[48,120,140],"multimodal":[49],"search":[50],"where":[51],"several":[52],"feature":[53],"spaces":[54],"are":[55],"common.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60],"present":[61],"Inverse":[63],"Square":[64],"method":[67],"family,":[68],"set":[70],"novel":[72],"fully":[73],"unsupervised":[74],"rank":[75,111],"methods":[77],"based":[78],"on":[79,83],"quadratic":[80],"decay":[81],"and":[82,97,100,133],"logarithmic":[84],"frequency":[86],"normalization.":[87],"Our":[88],"experiments":[89],"created":[90],"with":[91],"standard":[92],"Information":[93],"Retrieval":[94],"datasets":[95,102],"(image":[96,103],"text":[98],"fusion)":[99],"image":[101],"features":[104],"fusion),":[105],"show":[106],"that":[107],"ISR":[108],"outperforms":[109],"existing":[110,124],"algorithms.":[113],"Thus,":[114],"proposed":[116],"technique":[117],"has":[118],"comparable":[119],"better":[121],"performance":[122],"than":[123],"state-of-the-art":[125],"approaches,":[126],"while":[127],"maintaining":[128],"low":[130],"computational":[131],"complexity":[132],"avoiding":[134],"need":[136],"for":[137],"scores":[139],"training":[141],"data.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}