{"id":"https://openalex.org/W2903480912","doi":"https://doi.org/10.23919/eusipco.2018.8553605","title":"Feature Fusion via Tensor Network Summation","display_name":"Feature Fusion via Tensor Network Summation","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903480912","doi":"https://doi.org/10.23919/eusipco.2018.8553605","mag":"2903480912"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553605","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5022130630","display_name":"Giuseppe G. Calvi","orcid":"https://orcid.org/0000-0003-0607-1400"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Giuseppe G. Calvi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001875757","display_name":"Ilia Kisil","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ilia Kisil","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022130630"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.4908,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58181818,"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":"2623","last_page":"2627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9818000197410583,"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/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.7443211078643799},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.668586790561676},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6489344835281372},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6365845799446106},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141355037689209},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5903571844100952},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5641810297966003},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.56020587682724},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.5278223156929016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4769769608974457},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.47498148679733276},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.46680644154548645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45914244651794434},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45875051617622375},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3739944100379944},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3219865560531616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28456202149391174},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06756627559661865},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.06121090054512024}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.7443211078643799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.668586790561676},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6489344835281372},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6365845799446106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141355037689209},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5903571844100952},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5641810297966003},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.56020587682724},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.5278223156929016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4769769608974457},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.47498148679733276},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.46680644154548645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45914244651794434},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45875051617622375},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3739944100379944},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3219865560531616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28456202149391174},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06756627559661865},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.06121090054512024},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553605","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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":16,"referenced_works":["https://openalex.org/W1893333638","https://openalex.org/W1895308946","https://openalex.org/W1963826206","https://openalex.org/W1978376511","https://openalex.org/W1983467829","https://openalex.org/W1993482030","https://openalex.org/W2013912476","https://openalex.org/W2112074816","https://openalex.org/W2119412403","https://openalex.org/W2119741678","https://openalex.org/W2167083368","https://openalex.org/W2516041031","https://openalex.org/W2617994470","https://openalex.org/W2801848240","https://openalex.org/W3121797243","https://openalex.org/W4308235174"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241","https://openalex.org/W2354420595"],"abstract_inverted_index":{"Tensor":[0],"networks":[1],"(TNs)":[2],"have":[3],"been":[4],"earning":[5],"considerable":[6],"attention":[7],"as":[8,46,90,112,114],"multiway":[9],"data":[10],"analysis":[11],"tools":[12],"owing":[13],"to":[14,17,73,102],"their":[15,33,55,88,95,115],"ability":[16],"tackle":[18],"the":[19,24,38,41,59,68,79,130,133],"curse":[20],"of":[21,26,32,44,54,81,94,107,110,125,132],"dimensionality":[22],"through":[23],"representation":[25,117],"large-scale":[27],"tensors":[28],"via":[29],"smaller-scale":[30],"interconnections":[31],"intrinsic":[34],"features.":[35],"However,":[36],"despite":[37],"obvious":[39],"benefits,":[40],"current":[42],"treatment":[43],"TNs":[45],"stand-alone":[47],"entities":[48],"does":[49],"not":[50],"take":[51],"full":[52],"advantage":[53],"underlying":[56],"structure":[57],"and":[58],"associated":[60],"feature":[61,71,105],"localization.":[62],"To":[63],"this":[64],"end,":[65],"we":[66],"exploit":[67],"analogy":[69],"with":[70,83],"fusion":[72],"propose":[74],"a":[75,84,91],"rigorous":[76],"framework":[77,99],"for":[78,104],"combination":[80,106],"TNs,":[82],"particular":[85],"focus":[86],"on":[87],"summation":[89],"natural":[92],"way":[93],"combination.":[96],"The":[97],"proposed":[98,134],"is":[100],"shown":[101],"allow":[103],"any":[108],"number":[109],"tensors,":[111],"long":[113],"TN":[116],"topologies":[118],"are":[119],"isomorphic.":[120],"Simulations":[121],"involving":[122],"multi-class":[123],"classification":[124],"an":[126],"image":[127],"dataset":[128],"show":[129],"benefits":[131],"framework.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}