{"id":"https://openalex.org/W2509388930","doi":"https://doi.org/10.1109/icip.2016.7532766","title":"Speeding-up a convolutional neural network by connecting an SVM network","display_name":"Speeding-up a convolutional neural network by connecting an SVM network","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2509388930","doi":"https://doi.org/10.1109/icip.2016.7532766","mag":"2509388930"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7532766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","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/A5108113352","display_name":"J\u00e9r\u00f4me Pasquet","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"J. Pasquet","raw_affiliation_strings":["LIRMM, University of Montpellier/CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier/CNRS, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050689933","display_name":"Marc Chaumont","orcid":"https://orcid.org/0000-0002-4095-4410"},"institutions":[{"id":"https://openalex.org/I66456633","display_name":"Universit\u00e9 de N\u00eemes","ror":"https://ror.org/044t4x544","country_code":"FR","type":"education","lineage":["https://openalex.org/I66456633"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Chaumont","raw_affiliation_strings":["University of N\u00eemes, France"],"affiliations":[{"raw_affiliation_string":"University of N\u00eemes, France","institution_ids":["https://openalex.org/I66456633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004974411","display_name":"G\u00e9rard Subsol","orcid":"https://orcid.org/0000-0002-7461-4932"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"G. Subsol","raw_affiliation_strings":["Berger Levrault, Lab\u00e8ge, France"],"affiliations":[{"raw_affiliation_string":"Berger Levrault, Lab\u00e8ge, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107868544","display_name":"Mustapha Derras","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101743","display_name":"Laboratoire d'Informatique, de Robotique et de Micro\u00e9lectronique de Montpellier","ror":"https://ror.org/013yean28","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I151295451","https://openalex.org/I19894307","https://openalex.org/I4210101743","https://openalex.org/I4210159245","https://openalex.org/I4412460525"]},{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"M. Derras","raw_affiliation_strings":["LIRMM, University of Montpellier/CNRS, France"],"affiliations":[{"raw_affiliation_string":"LIRMM, University of Montpellier/CNRS, France","institution_ids":["https://openalex.org/I4210101743","https://openalex.org/I19894307","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108113352"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I19894307","https://openalex.org/I4210101743"],"apc_list":null,"apc_paid":null,"fwci":0.33436477,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68052726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9990000128746033,"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":0.9988999962806702,"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":0.8145182132720947},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7965264320373535},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7695533037185669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6797866225242615},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6686309576034546},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5448960065841675},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5097410082817078},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49364957213401794},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.4760834276676178},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46365413069725037},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45627561211586},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45521280169487},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44916093349456787},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4267580509185791},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41769614815711975},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4136788547039032},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12860053777694702},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09597498178482056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8145182132720947},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7965264320373535},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7695533037185669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6797866225242615},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6686309576034546},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5448960065841675},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5097410082817078},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49364957213401794},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.4760834276676178},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46365413069725037},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45627561211586},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45521280169487},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44916093349456787},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4267580509185791},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41769614815711975},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4136788547039032},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12860053777694702},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09597498178482056},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2016.7532766","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7532766","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01374118v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01374118","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":"http://2016.ieeeicip.org","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8500000238418579,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W825525975","https://openalex.org/W1665214252","https://openalex.org/W2037227137","https://openalex.org/W2038815575","https://openalex.org/W2075363152","https://openalex.org/W2088049833","https://openalex.org/W2097117768","https://openalex.org/W2099355420","https://openalex.org/W2113201641","https://openalex.org/W2118585731","https://openalex.org/W2124386111","https://openalex.org/W2136724559","https://openalex.org/W2145717442","https://openalex.org/W2155541015","https://openalex.org/W2155893237","https://openalex.org/W2160868604","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2164598857","https://openalex.org/W2265127172","https://openalex.org/W2296151615","https://openalex.org/W2527976745","https://openalex.org/W2951638509","https://openalex.org/W6623178044","https://openalex.org/W6637242042","https://openalex.org/W6674902714","https://openalex.org/W6674914833","https://openalex.org/W6675026286","https://openalex.org/W6677656871","https://openalex.org/W6682778277","https://openalex.org/W6728048745"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4330338194","https://openalex.org/W2118758177","https://openalex.org/W2153520307","https://openalex.org/W2151459719","https://openalex.org/W4321487865","https://openalex.org/W2358294942","https://openalex.org/W2969228573","https://openalex.org/W4367460280","https://openalex.org/W4382050342"],"abstract_inverted_index":{"International":[0],"audience":[1]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-05T00:54:17.221276","created_date":"2025-10-10T00:00:00"}
