{"id":"https://openalex.org/W2891665990","doi":"https://doi.org/10.1109/icassp.2018.8461839","title":"Novel Algorithms for Exact and Efficient L1-NORM-BASED Tucker2 Decomposition","display_name":"Novel Algorithms for Exact and Efficient L1-NORM-BASED Tucker2 Decomposition","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2891665990","doi":"https://doi.org/10.1109/icassp.2018.8461839","mag":"2891665990"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2018.8461839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5016447762","display_name":"Dimitris G. Chachlakis","orcid":"https://orcid.org/0000-0002-6464-0723"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dimitris G. Chachlakis","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos P. Markopoulos","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":2.2887,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88392857,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":null,"first_page":"6294","last_page":"6298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9308000206947327,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/algorithm","display_name":"Algorithm","score":0.6409909725189209},{"id":"https://openalex.org/keywords/exact-solutions-in-general-relativity","display_name":"Exact solutions in general relativity","score":0.5606123208999634},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.490612655878067},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.472678005695343},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4115105867385864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.39167970418930054}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6409909725189209},{"id":"https://openalex.org/C520416788","wikidata":"https://www.wikidata.org/wiki/Q5419229","display_name":"Exact solutions in general relativity","level":2,"score":0.5606123208999634},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.490612655878067},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.472678005695343},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4115105867385864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39167970418930054},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2018.8461839","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2018.8461839","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W187632787","https://openalex.org/W1509829222","https://openalex.org/W1539726260","https://openalex.org/W1740511963","https://openalex.org/W1963826206","https://openalex.org/W1993589664","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2036926179","https://openalex.org/W2050261562","https://openalex.org/W2067469651","https://openalex.org/W2108837778","https://openalex.org/W2113055885","https://openalex.org/W2119511382","https://openalex.org/W2141200867","https://openalex.org/W2293883257","https://openalex.org/W2294755503","https://openalex.org/W2469230926","https://openalex.org/W2529352582","https://openalex.org/W2584383133","https://openalex.org/W2611015177","https://openalex.org/W2962988160","https://openalex.org/W4232921201","https://openalex.org/W6607633118","https://openalex.org/W6637603442","https://openalex.org/W6719972455","https://openalex.org/W6722295135","https://openalex.org/W6732738431"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"We":[0],"consider":[1],"corruption-resistant":[2],"L1-norm-based":[3,156],"TUCKER2":[4,71,112,131],"(L1-TUCKER2)":[5],"decomposition":[6,113],"of":[7,16,21,74,78,96,115,150],"a":[8,19,40,75],"D\u00d7M\u00d7N":[9],"3-way":[10],"tensor,":[11],"treated":[12],"(with":[13],"no":[14],"loss":[15],"generality)":[17],"as":[18,28,39],"collection":[20],"N":[22,44],"D\u00d7M":[23],"matrices.":[24],"Our":[25,118],"contributions":[26],"are":[27],"follows.":[29],"First,":[30],"we":[31,48,58,101],"show":[32,122],"that":[33,64,123],"rank-1":[34,69],"L1-TUCKER2":[35],"can":[36],"be":[37],"cast":[38],"combinatorial":[41],"problem":[42],"over":[43],"antipodal-binary":[45],"variables;":[46],"accordingly,":[47],"provide":[49],"the":[50,66,82,97,103,124,128,138,151],"first":[51],"exact":[52,129,140],"algorithm":[53,63,83,108,126],"for":[54,109],"its":[55],"solution.":[56],"Then,":[57],"develop":[59],"an":[60],"efficient":[61,142],"(quadratic-cost/near-exact)":[62],"approximates":[65],"solution":[67,132],"to":[68],"L1-":[70,111,130],"by":[72,86,94],"means":[73,95],"converging":[76],"sequence":[77],"optimal":[79],"single-bit":[80],"flips;":[81],"is":[84],"accompanied":[85],"formal":[87],"convergence":[88],"proof":[89],"and":[90,141,155],"complexity":[91],"analysis.":[92],"Finally,":[93],"standard":[98],"deflation":[99],"technique,":[100],"generalize":[102],"developed":[104,139],"bit":[105],"-":[106],"flipping":[107],"solving":[110],"problems":[114],"general":[116],"rank.":[117],"extensive":[119],"numerical":[120],"studies":[121],"bit-flipping":[125],"returns":[127],"with":[133],"very":[134],"high":[135],"frequency.":[136],"Moreover,":[137],"algorithms":[143],"exhibit":[144],"remarkable":[145],"outlier":[146],"resistance,":[147],"outperforming":[148],"some":[149],"most":[152],"popular":[153],"L2-norm-based":[154],"counterparts.":[157]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}