{"id":"https://openalex.org/W2031494935","doi":"https://doi.org/10.1109/icip.2014.7025609","title":"Weighted SVM from clickthrough data for image retrieval","display_name":"Weighted SVM from clickthrough data for image retrieval","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2031494935","doi":"https://doi.org/10.1109/icip.2014.7025609","mag":"2031494935"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5059916757","display_name":"Ioannis Sarafis","orcid":"https://orcid.org/0000-0001-8449-1705"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Ioannis Sarafis","raw_affiliation_strings":["Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004953619","display_name":"Christos Diou","orcid":"https://orcid.org/0000-0002-2461-1928"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Diou","raw_affiliation_strings":["Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045426580","display_name":"Theodora Tsikrika","orcid":"https://orcid.org/0000-0003-4148-9028"},"institutions":[{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Theodora Tsikrika","raw_affiliation_strings":["Information Technologies Institute, Centre for Research and Technology, Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Information Technologies Institute, Centre for Research and Technology, Thessaloniki, Greece","institution_ids":["https://openalex.org/I4210093649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018812989","display_name":"Anastasios Delopoulos","orcid":"https://orcid.org/0000-0001-8220-8486"},"institutions":[{"id":"https://openalex.org/I21370196","display_name":"Aristotle University of Thessaloniki","ror":"https://ror.org/02j61yw88","country_code":"GR","type":"education","lineage":["https://openalex.org/I21370196"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Anastasios Delopoulos","raw_affiliation_strings":["Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece"],"affiliations":[{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]},{"raw_affiliation_string":"Multimedia Understanding Group, Electrical and Computer Engineering Department, Aristotle University of Thessaloniki, Greece","institution_ids":["https://openalex.org/I21370196"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059916757"],"corresponding_institution_ids":["https://openalex.org/I21370196"],"apc_list":null,"apc_paid":null,"fwci":1.2194,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82971611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3013","last_page":"3017"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9994999766349792,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9901000261306763,"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/support-vector-machine","display_name":"Support vector machine","score":0.8472506999969482},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7569184303283691},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6101858019828796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5968838930130005},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.593407928943634},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5736333727836609},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5483768582344055},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5397651195526123},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4912211298942566},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4658563733100891},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.4468808174133301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4221072494983673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3585495948791504}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8472506999969482},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7569184303283691},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6101858019828796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5968838930130005},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.593407928943634},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5736333727836609},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5483768582344055},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5397651195526123},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4912211298942566},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4658563733100891},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.4468808174133301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4221072494983673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3585495948791504},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025609","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025609","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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":24,"referenced_works":["https://openalex.org/W1503196035","https://openalex.org/W1513915383","https://openalex.org/W1591996815","https://openalex.org/W1881837503","https://openalex.org/W1975045902","https://openalex.org/W1978832675","https://openalex.org/W1994807229","https://openalex.org/W2022830384","https://openalex.org/W2031534613","https://openalex.org/W2039495153","https://openalex.org/W2077528174","https://openalex.org/W2114296497","https://openalex.org/W2118153703","https://openalex.org/W2119821739","https://openalex.org/W2133435946","https://openalex.org/W2133772980","https://openalex.org/W2137117795","https://openalex.org/W2139212933","https://openalex.org/W2153635508","https://openalex.org/W2155214175","https://openalex.org/W2170860445","https://openalex.org/W4239510810","https://openalex.org/W4294576732","https://openalex.org/W4296262844"],"related_works":["https://openalex.org/W2166551085","https://openalex.org/W2767160479","https://openalex.org/W1499746122","https://openalex.org/W112629874","https://openalex.org/W2209805890","https://openalex.org/W1948992892","https://openalex.org/W3168178700","https://openalex.org/W1668892176","https://openalex.org/W2589204931","https://openalex.org/W2913952424"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"propose":[4],"a":[5,80],"novel":[6],"approach":[7,101],"to":[8,28,115],"training":[9,33,53,60,125],"noise-resilient":[10],"concept":[11,31,61],"detectors":[12,62],"from":[13,38,79],"clickthrough":[14],"data":[15,54],"collected":[16,78],"by":[17,59],"image":[18,82],"search":[19,83],"engines.":[20],"We":[21,45],"take":[22],"advantage":[23],"of":[24,111],"the":[25,56,67,71,98,108,120,124],"query":[26],"logs":[27],"automatically":[29],"produce":[30],"detector":[32],"sets;":[34],"these":[35],"suffer":[36],"though":[37],"label":[39,104],"noise,":[40],"i.e.,":[41],"erroneously":[42],"assigned":[43],"labels.":[44],"explore":[46],"two":[47,64],"alternative":[48],"approaches":[49],"for":[50],"handling":[51,103],"noisy":[52],"at":[55],"classifier":[57],"level":[58,122],"with":[63,119],"SVM":[65,69,89,92,95,113,116],"variants:":[66],"Fuzzy":[68,88,112],"and":[70,93,96,106],"Power":[72,94],"SVM.":[73],"Experimental":[74],"results":[75],"on":[76],"images":[77],"professional":[81],"engine":[84],"indicate":[85],"that":[86],"1)":[87],"outperforms":[90],"both":[91],"is":[97],"most":[99],"effective":[100],"towards":[102],"noise":[105,121],"2)":[107],"performance":[109],"gain":[110],"compared":[114],"increases":[117],"progressively":[118],"in":[123],"sets.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
