{"id":"https://openalex.org/W3125388346","doi":"https://doi.org/10.1109/icip46576.2022.9897286","title":"Minconvnets: a New Class of Multiplication-Less Neural Networks","display_name":"Minconvnets: a New Class of Multiplication-Less Neural Networks","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W3125388346","doi":"https://doi.org/10.1109/icip46576.2022.9897286","mag":"3125388346"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2101.09492","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087751836","display_name":"Xuecan Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuecan Yang","raw_affiliation_strings":["TÃl’lÃl’com Paris,Palaiseau,France,91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TÃl’lÃl’com Paris,Palaiseau,France,91120","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046565938","display_name":"Sumanta Chaudhuri","orcid":"https://orcid.org/0000-0001-8404-1739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sumanta Chaudhuri","raw_affiliation_strings":["TÃl’lÃl’com Paris,Palaiseau,France,91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TÃl’lÃl’com Paris,Palaiseau,France,91120","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076474637","display_name":"Laurence Likforman","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Laurence Likforman","raw_affiliation_strings":["TÃl’lÃl’com Paris,Palaiseau,France,91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TÃl’lÃl’com Paris,Palaiseau,France,91120","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018022196","display_name":"L\u00edrida Naviner","orcid":"https://orcid.org/0000-0002-6320-4153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lirida Naviner","raw_affiliation_strings":["TÃl’lÃl’com Paris,Palaiseau,France,91120"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TÃl’lÃl’com Paris,Palaiseau,France,91120","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0011308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"512","issue":null,"first_page":"881","last_page":"885"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T12702","display_name":"Brain Tumor Detection and Classification","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2808","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multiplication","display_name":"Multiplication (music)","score":0.7735534906387329},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.645949125289917},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5704154372215271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5266396999359131},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4759809076786041},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4727364778518677},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4542924761772156},{"id":"https://openalex.org/keywords/comparator","display_name":"Comparator","score":0.44525861740112305},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43742847442626953},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4307388663291931},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.41676488518714905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3613242506980896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3567061722278595},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.34983009099960327},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.17491787672042847}],"concepts":[{"id":"https://openalex.org/C2780595030","wikidata":"https://www.wikidata.org/wiki/Q3860309","display_name":"Multiplication (music)","level":2,"score":0.7735534906387329},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.645949125289917},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5704154372215271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5266396999359131},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4759809076786041},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4727364778518677},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4542924761772156},{"id":"https://openalex.org/C155745195","wikidata":"https://www.wikidata.org/wiki/Q1164179","display_name":"Comparator","level":3,"score":0.44525861740112305},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43742847442626953},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4307388663291931},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.41676488518714905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3613242506980896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3567061722278595},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.34983009099960327},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.17491787672042847},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icip46576.2022.9897286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897286","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2101.09492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.09492","pdf_url":"https://arxiv.org/pdf/2101.09492","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-04297354v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04297354","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.881-885, ⟨10.1109/ICIP46576.2022.9897286⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04420942v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04420942","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:HAL:hal-04516537v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-04516537","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2101.09492","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2101.09492","pdf_url":"https://arxiv.org/pdf/2101.09492","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3125388346.pdf","grobid_xml":"https://content.openalex.org/works/W3125388346.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W59433541","https://openalex.org/W114517082","https://openalex.org/W1514716910","https://openalex.org/W1533861849","https://openalex.org/W1677182931","https://openalex.org/W2007339694","https://openalex.org/W2063978378","https://openalex.org/W2135046866","https://openalex.org/W2152839228","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2260663238","https://openalex.org/W2276892413","https://openalex.org/W2300242332","https://openalex.org/W2515385951","https://openalex.org/W2551895583","https://openalex.org/W2565125333","https://openalex.org/W2570343428","https://openalex.org/W2606722458","https://openalex.org/W2707890836","https://openalex.org/W2786234252","https://openalex.org/W2786771851","https://openalex.org/W2790167166","https://openalex.org/W2809624076","https://openalex.org/W2944526460","https://openalex.org/W2949117887","https://openalex.org/W2953212265","https://openalex.org/W2962965870","https://openalex.org/W2963500407","https://openalex.org/W2963674932","https://openalex.org/W2964019104","https://openalex.org/W3034344052","https://openalex.org/W3037288590","https://openalex.org/W3092134957","https://openalex.org/W3102169921","https://openalex.org/W3118608800","https://openalex.org/W6692521979","https://openalex.org/W6726275242","https://openalex.org/W6739917289","https://openalex.org/W6753069482","https://openalex.org/W6755202523","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2034349229","https://openalex.org/W4366783034","https://openalex.org/W1972415042","https://openalex.org/W4313221225","https://openalex.org/W2150642609","https://openalex.org/W2057797376","https://openalex.org/W2090319426","https://openalex.org/W2506252583","https://openalex.org/W2048249848","https://openalex.org/W2067758538"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"MinConvNets":[3,108],"where":[4],"the":[5,8,29,65,78,81,90],"multiplications":[6],"in":[7,64],"forward":[9,66],"propagation":[10,67],"path":[11],"of":[12,24,28,31,77],"CNNs":[13],"are":[14,20],"approximated":[15],"by":[16,61,109],"minimum":[17,25,62],"comparator":[18],"operations":[19,45,63],"introduced.":[21],"Hardware":[22],"complexity":[23],"operator":[26],"is":[27,37,50,56,93,97],"order":[30],"O(N),":[32],"whereas":[33],"for":[34],"multiplication":[35],"it":[36,55,96],"O(N2).":[38],"Firstly,":[39],"a":[40],"methodology":[41],"to":[42,58],"find":[43],"approximate":[44],"based":[46],"on":[47],"statistical":[48],"correlation":[49],"presented.":[51],"We":[52],"show":[53],"that":[54,99],"possible":[57],"replace":[59],"multipliers":[60],"under":[68],"certain":[69],"constraints,":[70],"i.e.":[71],"given":[72],"similar":[73],"mean":[74],"and":[75,80],"variances":[76],"feature":[79],"weight":[82],"vectors.":[83],"A":[84],"modified":[85],"training":[86],"method":[87],"which":[88],"guarantees":[89],"above":[91],"constraints":[92],"proposed.":[94],"And":[95],"shown":[98],"equivalent":[100],"precision":[101],"can":[102],"be":[103],"achieved":[104],"during":[105],"inference":[106],"with":[107],"using":[110],"transfer":[111],"learning":[112],"from":[113],"well":[114],"trained":[115],"exact":[116],"CNNs.":[117]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}