{"id":"https://openalex.org/W2511425443","doi":"https://doi.org/10.1145/2967413.2974038","title":"Propagation of Quantification Error Over Convolutional Neural Network layers","display_name":"Propagation of Quantification Error Over Convolutional Neural Network layers","publication_year":2016,"publication_date":"2016-09-09","ids":{"openalex":"https://openalex.org/W2511425443","doi":"https://doi.org/10.1145/2967413.2974038","mag":"2511425443"},"language":"en","primary_location":{"id":"doi:10.1145/2967413.2974038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2967413.2974038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Distributed Smart Camera","raw_type":"proceedings-article"},"type":"preprint","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/A5022184346","display_name":"Kamel Abdelouahab","orcid":"https://orcid.org/0000-0003-0544-1457"},"institutions":[{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Kamel Abdelouahab","raw_affiliation_strings":["Institut Pascal, Universit\u00e9 Blaise Pascal, Clermont Ferrand, France"],"affiliations":[{"raw_affiliation_string":"Institut Pascal, Universit\u00e9 Blaise Pascal, Clermont Ferrand, France","institution_ids":["https://openalex.org/I169645620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104883678","display_name":"Fran\u00e7ois Berry","orcid":"https://orcid.org/0000-0002-5899-4672"},"institutions":[{"id":"https://openalex.org/I169645620","display_name":"Institut Pascal","ror":"https://ror.org/03vgfxd91","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I169645620","https://openalex.org/I198244214","https://openalex.org/I4210095849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fran\u00e7ois Berry","raw_affiliation_strings":["Institut Pascal, Universit\u00e9 Blaise Pascal, Clermont Ferrand, France"],"affiliations":[{"raw_affiliation_string":"Institut Pascal, Universit\u00e9 Blaise Pascal, Clermont Ferrand, France","institution_ids":["https://openalex.org/I169645620"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046104895","display_name":"Maxime Pelcat","orcid":"https://orcid.org/0000-0002-1158-0915"},"institutions":[{"id":"https://openalex.org/I198244214","display_name":"Universit\u00e9 Clermont Auvergne","ror":"https://ror.org/01a8ajp46","country_code":"FR","type":"education","lineage":["https://openalex.org/I198244214"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Maxime Pelcat","raw_affiliation_strings":["INSA, Universit\u00e9 Blaise Pascal, Rennes, France"],"affiliations":[{"raw_affiliation_string":"INSA, Universit\u00e9 Blaise Pascal, Rennes, France","institution_ids":["https://openalex.org/I198244214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022184346"],"corresponding_institution_ids":["https://openalex.org/I169645620"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07054638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"226","last_page":"227"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9986000061035156,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/computer-science","display_name":"Computer science","score":0.8336660861968994},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7453140020370483},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6719273328781128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6170126795768738},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6140159368515015},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5316358804702759},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.495321661233902},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4758439064025879},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.43910062313079834},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4336291551589966},{"id":"https://openalex.org/keywords/fixed-point-arithmetic","display_name":"Fixed-point arithmetic","score":0.41104555130004883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38699352741241455},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35844165086746216},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.27087801694869995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09607350826263428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8336660861968994},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7453140020370483},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6719273328781128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6170126795768738},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6140159368515015},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5316358804702759},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.495321661233902},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4758439064025879},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.43910062313079834},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4336291551589966},{"id":"https://openalex.org/C163973906","wikidata":"https://www.wikidata.org/wiki/Q649900","display_name":"Fixed-point arithmetic","level":3,"score":0.41104555130004883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38699352741241455},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35844165086746216},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.27087801694869995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09607350826263428},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2967413.2974038","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2967413.2974038","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Conference on Distributed Smart Camera","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":12,"referenced_works":["https://openalex.org/W1605005685","https://openalex.org/W1686810756","https://openalex.org/W1841592590","https://openalex.org/W1990315422","https://openalex.org/W2025198378","https://openalex.org/W2044535169","https://openalex.org/W2112796928","https://openalex.org/W2125203716","https://openalex.org/W2131117478","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W6638783484"],"related_works":["https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"have":[4],"become":[5],"a":[6,64],"real":[7],"standard":[8],"in":[9,18],"computer":[10],"vision":[11],"as":[12],"they":[13],"achieved":[14],"state-of-the":[15],"art":[16],"results":[17],"detection,":[19],"classification":[20],"and":[21,26],"scene":[22],"understanding.":[23],"However,":[24],"training":[25],"accelerating":[27],"large-scale":[28],"deep":[29],"neural":[30,65],"networks":[31],"is":[32],"often":[33],"constrained":[34],"by":[35],"the":[36,48],"available":[37],"computational":[38],"resources.":[39],"Using":[40],"fixed":[41,69],"point":[42,70],"arithmetic":[43],"could":[44],"lighten":[45],"this":[46,57],"at":[47,60],"price":[49],"of":[50],"quantification":[51],"error.":[52],"This":[53],"work":[54],"shows":[55],"how":[56],"error":[58],"variate":[59],"different":[61],"stages":[62],"along":[63],"network":[66],"for":[67],"various":[68],"representation":[71],"schemes.":[72]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}