{"id":"https://openalex.org/W2952985875","doi":"https://doi.org/10.1145/3321517","title":"Tensorizing Restricted Boltzmann Machine","display_name":"Tensorizing Restricted Boltzmann Machine","publication_year":2019,"publication_date":"2019-06-07","ids":{"openalex":"https://openalex.org/W2952985875","doi":"https://doi.org/10.1145/3321517","mag":"2952985875"},"language":"en","primary_location":{"id":"doi:10.1145/3321517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321517","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5077865965","display_name":"Fujiao Ju","orcid":"https://orcid.org/0000-0002-0188-6996"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fujiao Ju","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082380547","display_name":"Yanfeng Sun","orcid":"https://orcid.org/0000-0002-0872-384X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Sun","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015817857","display_name":"Junbin Gao","orcid":"https://orcid.org/0000-0001-9803-0256"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Junbin Gao","raw_affiliation_strings":["The University of Sydney, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"The University of Sydney, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012997783","display_name":"Michael Antolovich","orcid":"https://orcid.org/0000-0003-2601-8332"},"institutions":[{"id":"https://openalex.org/I153230381","display_name":"Charles Sturt University","ror":"https://ror.org/00wfvh315","country_code":"AU","type":"education","lineage":["https://openalex.org/I153230381"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Antolovich","raw_affiliation_strings":["Charles Sturt University, Bathurst, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"Charles Sturt University, Bathurst, NSW, Australia","institution_ids":["https://openalex.org/I153230381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041084005","display_name":"Junliang Dong","orcid":"https://orcid.org/0000-0003-3109-185X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junliang Dong","raw_affiliation_strings":["Beijing University of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020527092","display_name":"Baocai Yin","orcid":"https://orcid.org/0000-0003-3121-1823"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baocai Yin","raw_affiliation_strings":["Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077865965"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":0.6073,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.71821289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"13","issue":"3","first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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"}},"topics":[{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","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/T12303","display_name":"Tensor decomposition and applications","score":0.9926999807357788,"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/T11751","display_name":"Lattice Boltzmann Simulation Studies","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/restricted-boltzmann-machine","display_name":"Restricted Boltzmann machine","score":0.9194552898406982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7948338389396667},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.7730538845062256},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6665493249893188},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.5980513095855713},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5763156414031982},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5569441914558411},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4990732669830322},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44973766803741455},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4357568323612213},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41997456550598145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40516921877861023},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33405208587646484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0899215042591095}],"concepts":[{"id":"https://openalex.org/C199354608","wikidata":"https://www.wikidata.org/wiki/Q7316287","display_name":"Restricted Boltzmann machine","level":3,"score":0.9194552898406982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7948338389396667},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.7730538845062256},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6665493249893188},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.5980513095855713},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5763156414031982},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5569441914558411},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4990732669830322},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44973766803741455},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4357568323612213},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41997456550598145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40516921877861023},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33405208587646484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0899215042591095},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3321517","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3321517","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G6053285420","display_name":null,"funder_award_id":"61806014, 61772048, 61672071, and 61632006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W637287392","https://openalex.org/W909808580","https://openalex.org/W1993482030","https://openalex.org/W2024165284","https://openalex.org/W2041681655","https://openalex.org/W2072128103","https://openalex.org/W2079598971","https://openalex.org/W2088340972","https://openalex.org/W2100002341","https://openalex.org/W2103372737","https://openalex.org/W2116064496","https://openalex.org/W2116825644","https://openalex.org/W2121058967","https://openalex.org/W2123717994","https://openalex.org/W2127426251","https://openalex.org/W2136922672","https://openalex.org/W2157530295","https://openalex.org/W2161000554","https://openalex.org/W2179489622","https://openalex.org/W2204885273","https://openalex.org/W2220516362","https://openalex.org/W2293139688","https://openalex.org/W2297358468","https://openalex.org/W2519936666","https://openalex.org/W2551541394","https://openalex.org/W2592844773","https://openalex.org/W2733883865","https://openalex.org/W2796473565","https://openalex.org/W2952689122","https://openalex.org/W4212863985","https://openalex.org/W4231061463","https://openalex.org/W4231109964"],"related_works":["https://openalex.org/W2952018105","https://openalex.org/W2916681395","https://openalex.org/W4283272532","https://openalex.org/W2119341610","https://openalex.org/W2556473569","https://openalex.org/W2193475944","https://openalex.org/W4302433642","https://openalex.org/W2529583158","https://openalex.org/W2551541394","https://openalex.org/W2892911634"],"abstract_inverted_index":{"Restricted":[0],"Boltzmann":[1],"machine":[2],"(RBM)":[3],"is":[4,54,70,136],"a":[5,55,63,94,122],"famous":[6],"model":[7,56,98,135,151],"for":[8,18],"feature":[9],"extraction":[10],"and":[11,47,111,153,173],"can":[12,139],"be":[13],"used":[14],"as":[15,30,38],"an":[16],"initializer":[17],"neural":[19],"networks.":[20],"When":[21],"applying":[22],"the":[23,101,133,145,159,177],"classic":[24,86,146],"RBM":[25,53,74,87,97,147],"to":[26,35,72,84],"multidimensional":[27],"data":[28,77,90],"such":[29,37],"2D/3D":[31],"tensors,":[32],"one":[33],"needs":[34],"vectorize":[36],"high-order":[39,76],"data.":[40],"Vectorizing":[41],"will":[42],"result":[43],"in":[44,115,125,176],"dimensional":[45],"disaster":[46],"valuable":[48],"spatial":[49],"information":[50],"loss.":[51],"As":[52],"with":[57,75,144,148],"fully":[58],"connected":[59,120],"layers,":[60],"it":[61,69],"requires":[62],"large":[64],"amount":[65],"of":[66,132,161],"memory.":[67],"Therefore,":[68],"difficult":[71],"use":[73],"on":[78,88],"low-end":[79],"devices.":[80],"In":[81,106],"this":[82,107],"article,":[83],"utilize":[85],"tensorial":[89,96,116],"directly,":[91],"we":[92,163],"propose":[93],"new":[95],"parameterized":[99],"by":[100,121],"tensor":[102,126],"train":[103,127],"format":[104],"(TTRBM).":[105],"model,":[108],"both":[109],"visible":[110],"hidden":[112],"variables":[113],"are":[114,119],"form,":[117],"which":[118],"parameter":[123],"matrix":[124],"format.":[128],"The":[129],"biggest":[130],"advantage":[131],"proposed":[134],"that":[137],"TTRBM":[138],"obtain":[140],"comparable":[141],"performance":[142],"compared":[143],"much":[149],"fewer":[150],"parameters":[152],"faster":[154],"training":[155],"process.":[156],"To":[157],"demonstrate":[158],"advantages":[160],"TTRBM,":[162],"conduct":[164],"three":[165],"real-world":[166],"applications,":[167],"face":[168],"reconstruction,":[169],"handwritten":[170],"digit":[171],"recognition,":[172],"image":[174],"super-resolution":[175],"experiments.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}