{"id":"https://openalex.org/W4385694485","doi":"https://doi.org/10.1109/ssp53291.2023.10207943","title":"Linear Computation Coding for Convolutional Neural Networks","display_name":"Linear Computation Coding for Convolutional Neural Networks","publication_year":2023,"publication_date":"2023-07-02","ids":{"openalex":"https://openalex.org/W4385694485","doi":"https://doi.org/10.1109/ssp53291.2023.10207943"},"language":"en","primary_location":{"id":"doi:10.1109/ssp53291.2023.10207943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10207943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","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/A5026710677","display_name":"Ralf R. M\u00fcller","orcid":"https://orcid.org/0000-0003-3780-9308"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ralf R. M\u00fcller","raw_affiliation_strings":["Institute for Digital Communications (IDC) Friedrich-Alexander-Universit&#x00E4;t (FAU),Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications (IDC) Friedrich-Alexander-Universit&#x00E4;t (FAU),Erlangen,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079424209","display_name":"H. Rosenberger","orcid":"https://orcid.org/0000-0003-0930-1937"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hans Rosenberger","raw_affiliation_strings":["Institute for Digital Communications (IDC) Friedrich-Alexander-Universit&#x00E4;t (FAU),Erlangen,Germany"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications (IDC) Friedrich-Alexander-Universit&#x00E4;t (FAU),Erlangen,Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014794132","display_name":"Marc Reichenbach","orcid":"https://orcid.org/0000-0002-9687-6247"},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marc Reichenbach","raw_affiliation_strings":["Chair of Computer Engineering Brandenburgische Technische Universit&#x00E4;t (BTU),Cottbus,Germany"],"affiliations":[{"raw_affiliation_string":"Chair of Computer Engineering Brandenburgische Technische Universit&#x00E4;t (BTU),Cottbus,Germany","institution_ids":["https://openalex.org/I51783024"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026710677"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.61,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65137385,"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":"562","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9965999722480774,"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"}},"topics":[{"id":"https://openalex.org/T11034","display_name":"Digital Filter Design and Implementation","score":0.9965999722480774,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9962999820709229,"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/T10320","display_name":"Neural Networks and Applications","score":0.9925000071525574,"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/computation","display_name":"Computation","score":0.6623350381851196},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6296769380569458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.628600001335144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6088920831680298},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5454448461532593},{"id":"https://openalex.org/keywords/adder","display_name":"Adder","score":0.5079658627510071},{"id":"https://openalex.org/keywords/matrix-multiplication","display_name":"Matrix multiplication","score":0.4788084626197815},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.442770391702652},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4408545196056366},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30400314927101135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2647656798362732},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.1455792486667633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07131847739219666},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06728437542915344}],"concepts":[{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6623350381851196},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6296769380569458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.628600001335144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6088920831680298},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5454448461532593},{"id":"https://openalex.org/C164620267","wikidata":"https://www.wikidata.org/wiki/Q376953","display_name":"Adder","level":3,"score":0.5079658627510071},{"id":"https://openalex.org/C17349429","wikidata":"https://www.wikidata.org/wiki/Q1049914","display_name":"Matrix multiplication","level":3,"score":0.4788084626197815},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.442770391702652},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4408545196056366},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30400314927101135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2647656798362732},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1455792486667633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07131847739219666},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06728437542915344},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.0},{"id":"https://openalex.org/C84114770","wikidata":"https://www.wikidata.org/wiki/Q46344","display_name":"Quantum","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp53291.2023.10207943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10207943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2107745473","https://openalex.org/W2112796928","https://openalex.org/W2115452265","https://openalex.org/W3097684660","https://openalex.org/W4254197176","https://openalex.org/W4286001588","https://openalex.org/W4310902985","https://openalex.org/W4313555301","https://openalex.org/W4386767702","https://openalex.org/W4391087774"],"related_works":["https://openalex.org/W4390550886","https://openalex.org/W3217463396","https://openalex.org/W2790557758","https://openalex.org/W2516396101","https://openalex.org/W3204929712","https://openalex.org/W4295102875","https://openalex.org/W2300671402","https://openalex.org/W4312888585","https://openalex.org/W3212668432","https://openalex.org/W2533938775"],"abstract_inverted_index":{"Linear":[0],"computation":[1],"coding":[2],"is":[3,93],"a":[4,49,68,72,96],"recent":[5],"method":[6],"aimed":[7],"to":[8,67,76,100,103],"reduce":[9],"the":[10,53,80,88],"computational":[11],"effort":[12],"for":[13,21,30],"matrix-vector":[14],"multiplications.":[15],"Previous":[16],"algorithms":[17,26],"work":[18],"especially":[19],"well":[20],"large,":[22],"dense":[23],"matrices.":[24,44],"These":[25],"are":[27,58],"adapted":[28],"here":[29],"use":[31],"in":[32],"convolutional":[33],"neural":[34],"networks,":[35],"where":[36],"filter":[37],"kernels":[38],"typically":[39],"consist":[40],"of":[41,55,74,86,90,98],"small,":[42],"square":[43],"For":[45,83],"kernel":[46,81],"matrices":[47],"with":[48],"uniform":[50],"element":[51],"distribution,":[52],"number":[54,89],"additions":[56],"(multiplications":[57],"counted":[59],"as":[60],"multiple":[61],"additions)":[62],"can":[63],"be":[64],"reduced":[65,94],"compared":[66,102],"standard":[69,104],"implementation":[70,85],"by":[71,95],"factor":[73,97],"two":[75],"five":[77],"depending":[78],"on":[79],"size.":[82],"an":[84],"LeNet5,":[87],"adders":[91],"required":[92],"up":[99],"2.74":[101],"methods.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
