{"id":"https://openalex.org/W2765246728","doi":"https://doi.org/10.1109/ncc.2017.8077077","title":"The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs","display_name":"The semantic multinomial representation of images obtained using dynamic kernel based pseudo-concept SVMs","publication_year":2017,"publication_date":"2017-03-01","ids":{"openalex":"https://openalex.org/W2765246728","doi":"https://doi.org/10.1109/ncc.2017.8077077","mag":"2765246728"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2017.8077077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","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/A5101688552","display_name":"Shikha Gupta","orcid":"https://orcid.org/0000-0002-0574-2543"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikha Gupta","raw_affiliation_strings":["School of Computing and EE, Indian Institute of Technology Mandi, H.P., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and EE, Indian Institute of Technology Mandi, H.P., India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108829280","display_name":"Dileep Aroor Dinesh","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dileep Aroor Dinesh","raw_affiliation_strings":["School of Computing and EE, Indian Institute of Technology Mandi, H.P., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and EE, Indian Institute of Technology Mandi, H.P., India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080105717","display_name":"Veena Thenkanidiyoor","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109276","display_name":"National Institute of Technology Goa","ror":"https://ror.org/01vmfpj79","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109276"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Veena Thenkanidiyoor","raw_affiliation_strings":["Department of CSE, National Institute of Technology Goa Ponda, Goa, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, National Institute of Technology Goa Ponda, Goa, India","institution_ids":["https://openalex.org/I4210109276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"42","issue":null,"first_page":"1","last_page":"6"},"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":1.0,"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":1.0,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9936000108718872,"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/computer-science","display_name":"Computer science","score":0.7449237108230591},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.739837110042572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7173041701316833},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.691204309463501},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6866466999053955},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.6735390424728394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6634111404418945},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5134561657905579},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4729810953140259},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.40379461646080017},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36583760380744934},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.2497367560863495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13546019792556763}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7449237108230591},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.739837110042572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7173041701316833},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.691204309463501},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6866466999053955},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.6735390424728394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6634111404418945},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5134561657905579},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4729810953140259},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.40379461646080017},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36583760380744934},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2497367560863495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13546019792556763},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc.2017.8077077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2017.8077077","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Twenty-third National Conference on Communications (NCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1503387401","https://openalex.org/W1566135517","https://openalex.org/W1606858007","https://openalex.org/W1976921161","https://openalex.org/W1979323155","https://openalex.org/W1981278353","https://openalex.org/W2020180389","https://openalex.org/W2027922120","https://openalex.org/W2040999325","https://openalex.org/W2095936536","https://openalex.org/W2097018403","https://openalex.org/W2120750550","https://openalex.org/W2124628561","https://openalex.org/W2125849446","https://openalex.org/W2138826255","https://openalex.org/W2146022472","https://openalex.org/W2151103935","https://openalex.org/W2153635508","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W3120421331","https://openalex.org/W6636412649"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W2565795945","https://openalex.org/W4239538403","https://openalex.org/W148178222","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1910826599","https://openalex.org/W2012353789","https://openalex.org/W4292523377"],"abstract_inverted_index":{"Hand-engineered":[0],"local":[1],"image":[2,59,80],"features":[3],"have":[4,113],"been":[5],"proven":[6],"to":[7,65,83,102,112,119,129,146,165],"be":[8],"intended":[9],"representation":[10,60,77,93,142,158,162],"for":[11,169],"a":[12,75,84],"variety":[13],"of":[14,45,78,86,89,107,135,154],"high-level":[15,170],"visual":[16,22,149,161,171],"recognition":[17,23],"tasks.":[18],"But":[19],"as":[20,26,174],"the":[21,35,42,46,104,133,147,152],"tasks":[24,172],"such":[25,173],"scene":[27,47,175],"classification":[28,176],"and":[29,41,159],"object":[30],"detection":[31],"become":[32],"more":[33],"challenging,":[34],"semantic":[36,56,71,76,105],"gap":[37],"between":[38],"low-level":[39,148,160],"feature":[40],"concept":[43,117,137],"descriptor":[44],"images":[48],"increases.":[49],"In":[50,123],"this":[51,124],"paper,":[52],"we":[53,126],"present":[54],"novel":[55],"multinomial":[57],"(SMN)":[58],"that":[61,81],"renders":[62],"it":[63],"possible":[64],"represent":[66],"natural":[67],"scenes":[68],"by":[69],"complex":[70],"description.":[72],"SMN":[73,92,121,141,157],"is":[74,110,143,163],"an":[79],"corresponds":[82],"vector":[85,99],"posterior":[87],"probabilities":[88],"concepts.":[90],"Proposed":[91],"uses":[94],"dynamic":[95],"kernel":[96],"based":[97],"support":[98],"machines":[100],"(SVMs)":[101],"model":[103],"content":[106],"images.":[108],"It":[109],"necessary":[111],"ground":[114],"truth":[115],"(true)":[116],"labels":[118],"obtain":[120],"representation.":[122,150],"work,":[125],"also":[127,144],"propose":[128],"use":[130],"pseudo-concepts":[131],"in":[132],"absence":[134],"true":[136],"labels.":[138],"The":[139],"proposed":[140],"complementary":[145],"Combining":[151],"scores":[153],"classifiers":[155],"using":[156],"shown":[164],"achieve":[166],"state-of-the-art":[167],"results":[168],"on":[177],"standard":[178],"datasets.":[179]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}