{"id":"https://openalex.org/W1963882359","doi":"https://doi.org/10.1145/2733373.2807412","title":"MatConvNet","display_name":"MatConvNet","publication_year":2015,"publication_date":"2015-10-13","ids":{"openalex":"https://openalex.org/W1963882359","doi":"https://doi.org/10.1145/2733373.2807412","mag":"1963882359"},"language":"en","primary_location":{"id":"doi:10.1145/2733373.2807412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2807412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","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/A5060511349","display_name":"Andrea Vedaldi","orcid":"https://orcid.org/0000-0003-1374-2858"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrea Vedaldi","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056875847","display_name":"Karel Lenc","orcid":"https://orcid.org/0000-0001-6119-0045"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karel Lenc","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060511349"],"corresponding_institution_ids":["https://openalex.org/I40120149"],"apc_list":null,"apc_paid":null,"fwci":277.2153,"has_fulltext":false,"cited_by_count":2535,"citation_normalized_percentile":{"value":0.99985223,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"689","last_page":"692"},"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":0.9987999796867371,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.8791133165359497},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7252590656280518},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.7132697701454163},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.6609421372413635},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6078952550888062},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5527245402336121},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.5330694317817688},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.518844723701477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4898204505443573},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4830944538116455},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.47065606713294983},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.46752381324768066},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4644911587238312},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.46007993817329407},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44962790608406067},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4432520866394043},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42032143473625183},{"id":"https://openalex.org/keywords/computational-science","display_name":"Computational science","score":0.40704312920570374},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.360250324010849},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24550414085388184},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.21814176440238953},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.12419381737709045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09306156635284424}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8791133165359497},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7252590656280518},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.7132697701454163},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6609421372413635},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6078952550888062},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5527245402336121},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.5330694317817688},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.518844723701477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4898204505443573},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4830944538116455},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47065606713294983},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.46752381324768066},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4644911587238312},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.46007993817329407},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44962790608406067},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4432520866394043},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42032143473625183},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.40704312920570374},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.360250324010849},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24550414085388184},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21814176440238953},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.12419381737709045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09306156635284424},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2733373.2807412","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2733373.2807412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5699999928474426,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2066941820","https://openalex.org/W2108598243","https://openalex.org/W2117106078","https://openalex.org/W2163605009","https://openalex.org/W2949117887","https://openalex.org/W2951548327","https://openalex.org/W2962835968","https://openalex.org/W2962851944","https://openalex.org/W2963173190"],"related_works":["https://openalex.org/W2368019753","https://openalex.org/W2333930193","https://openalex.org/W2737356002","https://openalex.org/W2246241526","https://openalex.org/W2374150061","https://openalex.org/W4301122218","https://openalex.org/W2081340182","https://openalex.org/W2369703001","https://openalex.org/W2372323577","https://openalex.org/W2321432690"],"abstract_inverted_index":{"MatConvNet":[0,55],"is":[1,21],"an":[2,24],"open":[3],"source":[4],"implementation":[5],"of":[6,35,68,98],"Convolutional":[7],"Neural":[8],"Networks":[9],"(CNNs)":[10],"with":[11,23,46],"a":[12],"deep":[13],"integration":[14],"in":[15],"the":[16,32,73],"MATLAB":[17,39,63],"environment.":[18],"The":[19],"toolbox":[20],"designed":[22],"emphasis":[25],"on":[26,80,89],"simplicity":[27],"and":[28,52,82],"flexibility.":[29],"It":[30],"exposes":[31],"building":[33],"blocks":[34],"CNNs":[36],"as":[37,93],"easy-to-use":[38],"functions,":[40],"providing":[41],"routines":[42],"for":[43],"computing":[44],"convolutions":[45],"filter":[47],"banks,":[48],"feature":[49],"pooling,":[50],"normalisation,":[51],"much":[53],"more.":[54],"can":[56],"be":[57],"easily":[58],"extended,":[59],"often":[60],"using":[61],"only":[62],"code,":[64],"allowing":[65,84],"fast":[66],"prototyping":[67],"new":[69],"CNN":[70],"architectures.":[71],"At":[72],"same":[74],"time,":[75],"it":[76],"supports":[77],"efficient":[78],"computation":[79],"CPU":[81],"GPU,":[83],"to":[85],"train":[86],"complex":[87],"models":[88],"large":[90],"datasets":[91],"such":[92],"ImageNet":[94],"ILSVRC":[95],"containing":[96],"millions":[97],"training":[99],"examples":[100]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":25},{"year":2024,"cited_by_count":39},{"year":2023,"cited_by_count":52},{"year":2022,"cited_by_count":92},{"year":2021,"cited_by_count":145},{"year":2020,"cited_by_count":255},{"year":2019,"cited_by_count":441},{"year":2018,"cited_by_count":562},{"year":2017,"cited_by_count":554},{"year":2016,"cited_by_count":316},{"year":2015,"cited_by_count":49},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2016-06-24T00:00:00"}
