{"id":"https://openalex.org/W48572823","doi":null,"title":"Flexible Image Recognition Software Toolbox (FIRST)","display_name":"Flexible Image Recognition Software Toolbox (FIRST)","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W48572823","mag":"48572823"},"language":"en","primary_location":{"id":"pmh:oai:shareok.org:11244/11177","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11244/11177","pdf_url":"http://hdl.handle.net/11244/11177","source":{"id":"https://openalex.org/S4306402274","display_name":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11244/11177","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001728598","display_name":"Pranita Patil","orcid":"https://orcid.org/0000-0002-3679-3685","observed_orcids":["https://orcid.org/0000-0002-3679-3685"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Pranita Patil","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-3679-3685","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5001728598"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10320","display_name":"Neural Networks and Applications","score":0.8306000232696533,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8306000232696533,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.12540000677108765,"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/T13674","display_name":"Computer Science and Engineering","score":0.01549999974668026,"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/deep-convolutional-neural-networks","display_name":"deep convolutional neural networks","score":0.8569999933242798},{"id":"https://openalex.org/keywords/lenet","display_name":"LeNet","score":0.8190000057220459},{"id":"https://openalex.org/keywords/resilient-backpropagation","display_name":"resilient backpropagation","score":0.8859999775886536},{"id":"https://openalex.org/keywords/scaled-conjugate-gradient","display_name":"scaled conjugate gradient","score":0.9900000095367432},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"gradient descent","score":0.9890000224113464},{"id":"https://openalex.org/keywords/gradient-computation","display_name":"gradient computation","score":0.7300000190734863},{"id":"https://openalex.org/keywords/phoneme-recognition","display_name":"phoneme recognition","score":0.9559999704360962},{"id":"https://openalex.org/keywords/handwritten-digit-recognition","display_name":"handwritten digit recognition","score":0.7900000214576721},{"id":"https://openalex.org/keywords/software-package-design","display_name":"software package design","score":0.37299999594688416}],"concepts":[{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6958077549934387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567040681838989},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5645931959152222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4628068804740906},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4401792585849762},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4255390167236328},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17935684323310852}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:shareok.org:11244/11177","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11244/11177","pdf_url":"http://hdl.handle.net/11244/11177","source":{"id":"https://openalex.org/S4306402274","display_name":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"pmh:oai:openresearch.okstate.edu:20.500.14446/11177","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.14446/11177","pdf_url":null,"source":{"id":"https://openalex.org/S4306402274","display_name":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Thesis"},{"id":"mag:48572823","doi":null,"is_oa":false,"landing_page_url":"https://shareok.org/bitstream/11244/11177/1/Patil_okstate_0664M_12914.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:shareok.org:11244/11177","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11244/11177","pdf_url":"http://hdl.handle.net/11244/11177","source":{"id":"https://openalex.org/S4306402274","display_name":"SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W48572823.pdf","grobid_xml":"https://content.openalex.org/works/W48572823.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W613766092","https://openalex.org/W1536929369","https://openalex.org/W1825077972","https://openalex.org/W2002096058","https://openalex.org/W2006614859","https://openalex.org/W2006626130","https://openalex.org/W2051812123","https://openalex.org/W2112796928","https://openalex.org/W2113391436","https://openalex.org/W2116360511","https://openalex.org/W2120284346","https://openalex.org/W2130325614","https://openalex.org/W2154579312","https://openalex.org/W2165550102","https://openalex.org/W2166501286","https://openalex.org/W2543249712"],"related_works":["https://openalex.org/W3006624170","https://openalex.org/W3011763265","https://openalex.org/W2942800703","https://openalex.org/W3082776395","https://openalex.org/W2886324137","https://openalex.org/W2148461049","https://openalex.org/W3027916771","https://openalex.org/W3155808593","https://openalex.org/W7083304780","https://openalex.org/W2940454750"],"abstract_inverted_index":{"The":[0,56,113,212,236],"deep":[1,83,92,111,166],"convolutional":[2],"neural":[3,11],"network":[4,12,22],"is":[5,16,62,73,104,115,139,229,239],"a":[6,65,74,135],"new":[7],"concept":[8],"in":[9,31,141,160,199,232,243],"the":[10,118,187,190,194,200,224],"field,":[13],"and":[14,48,99,109,144,153,180,193],"research":[15],"still":[17],"going":[18],"on":[19],"to":[20,63,80,116,125,150,158,208,222],"improve":[21],"performance.":[23],"These":[24],"networks":[25],"are":[26,147],"used":[27,198],"for":[28,106],"recognizing":[29],"patterns":[30],"data,":[32],"as":[33,95,174],"they":[34],"provide":[35],"shift":[36],"invariance,":[37],"automatic":[38],"extraction":[39],"of":[40,59,90,120,189,196],"local":[41,45],"features,":[42],"by":[43,51,123],"using":[44,52],"receptive":[46],"fields,":[47],"improved":[49],"generalization,":[50],"weight":[53],"sharing":[54],"techniques.":[55],"main":[57],"purpose":[58],"this":[60,132,151],"thesis":[61,184,213],"create":[64,209],"Flexible":[66],"Image":[67],"Recognition":[68],"Software":[69],"Toolbox":[70],"(FIRST),":[71],"which":[72,142],"software":[75,102,133,192],"package":[76,103],"that":[77,219],"allows":[78],"users":[79,124,159],"build":[81],"custom":[82,210],"networks,":[84,93],"while":[85],"also":[86,185,203],"having":[87],"ready-made":[88],"versions":[89],"popular":[91],"such":[94,173],"Lecun's":[96],"LeNet-1,":[97],"LeNet-5":[98],"LeNet-7.":[100],"This":[101,183],"created":[105],"designing,":[107],"training":[108,171,217],"simulating":[110],"networks.":[112,167,211],"goal":[114],"reduce":[117],"amount":[119],"time":[121],"required":[122],"implement":[126],"any":[127],"particular":[128],"network.":[129],"To":[130],"design":[131,195],"package,":[134],"general":[136],"modular":[137],"framework":[138],"introduced,":[140],"simulation":[143],"gradient":[145],"calculations":[146],"derived.":[148],"Due":[149],"modularity":[152],"generality,":[154],"FIRST":[155,168,191,225],"provides":[156,204],"flexibility":[157],"easily":[161],"designing":[162],"specific":[163],"complex":[164],"or":[165],"includes":[169,214],"several":[170],"algorithms,":[172],"Resilient":[175],"Backpropagation,":[176],"Scaled":[177],"Conjugate":[178],"Gradient":[179],"Steepest":[181],"Descent.":[182],"describes":[186],"usage":[188],"functions":[197],"software.":[201,226],"It":[202],"information":[205],"about":[206],"how":[207,221],"two":[215],"sample":[216],"sessions":[218],"demonstrate":[220],"use":[223],"One":[227],"example":[228,238],"phoneme":[230],"recognition":[231,242],"1D":[233],"speech":[234],"data.":[235],"second":[237],"handwritten":[240],"digit":[241],"2D":[244],"images.":[245]},"counts_by_year":[{"year":2015,"cited_by_count":2}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}
