{"id":"https://openalex.org/W3004334345","doi":"https://doi.org/10.1117/12.2559849","title":"Deep stacked sparse auto-encoder based on patches for image classification","display_name":"Deep stacked sparse auto-encoder based on patches for image classification","publication_year":2020,"publication_date":"2020-01-31","ids":{"openalex":"https://openalex.org/W3004334345","doi":"https://doi.org/10.1117/12.2559849","mag":"3004334345"},"language":"en","primary_location":{"id":"doi:10.1117/12.2559849","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","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/A5007253198","display_name":"Intidhar Jemel","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Intidhar Jemel","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072837793","display_name":"Salima Hassairi","orcid":"https://orcid.org/0000-0003-3281-6576"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Salima Hassairi","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029856197","display_name":"Ridha Ejbali","orcid":"https://orcid.org/0000-0002-8148-1621"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Ridha Ejbali","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074838703","display_name":"Mourad Zaied","orcid":"https://orcid.org/0000-0003-4013-5834"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mourad Zaied","raw_affiliation_strings":["Research Team in Intelligent Machines (Tunisia)"],"affiliations":[{"raw_affiliation_string":"Research Team in Intelligent Machines (Tunisia)","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007253198"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.6628,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74766857,"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":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":0.9366000294685364,"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":0.9366000294685364,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9248999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/softmax-function","display_name":"Softmax function","score":0.8149328231811523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7334296703338623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7263315916061401},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7107643485069275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6750761270523071},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6338627338409424},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6225276589393616},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5807141065597534},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5141413807868958},{"id":"https://openalex.org/keywords/transpose","display_name":"Transpose","score":0.5038878321647644},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4588189423084259},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2731304168701172}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8149328231811523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7334296703338623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7263315916061401},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7107643485069275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6750761270523071},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6338627338409424},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6225276589393616},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5807141065597534},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5141413807868958},{"id":"https://openalex.org/C200106649","wikidata":"https://www.wikidata.org/wiki/Q223683","display_name":"Transpose","level":3,"score":0.5038878321647644},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4588189423084259},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2731304168701172},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2559849","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2559849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Twelfth International Conference on Machine Vision (ICMV 2019)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2769441402","https://openalex.org/W2594436708","https://openalex.org/W4360994128","https://openalex.org/W3086240734","https://openalex.org/W2951850672","https://openalex.org/W4229443568"],"abstract_inverted_index":{"Image":[0],"classification":[1,33,39],"is":[2,83,115],"an":[3,75],"area":[4],"where":[5],"deep":[6,62],"learning":[7],"and":[8,52,70,130],"especially":[9],"stacked":[10,68],"Auto-encoders":[11,69],"have":[12],"really":[13],"proven":[14],"their":[15],"strength.":[16],"The":[17,80,95],"contributions":[18],"of":[19,26,38,43,59,66,89,92,98,105,112,136],"this":[20,137],"paper":[21],"lie":[22],"in":[23,48,56],"the":[24,44,57,93,102,106,110,113,119,131,134],"creation":[25],"a":[27,41,71,86],"new":[28,36],"classifier":[29],"to":[30,117],"remedy":[31],"some":[32],"problems.":[34],"This":[35],"method":[37],"presents":[40],"combination":[42],"most":[45],"used":[46,73],"techniques":[47],"Deep":[49],"Learning":[50],"(DL)":[51],"Sparse":[53],"Coding":[54],"(SC)":[55],"field":[58],"classification.":[60,79],"Proposed":[61],"neural":[63],"networks":[64],"consist":[65],"three":[67],"Softmax":[72],"as":[74,128],"outer":[76],"layer":[77],"for":[78],"first":[81,107],"Auto-encoder":[82],"created":[84],"from":[85],"sparse":[87,96],"representation":[88,97],"all":[90,99],"images":[91,100],"dataset.":[94],"represents":[101],"decoder":[103],"part":[104],"Auto-encoder.":[108],"Then":[109],"transpose":[111],"matrix":[114],"applied":[116],"get":[118],"encoder":[120],"part.":[121],"Experiments":[122],"performed":[123],"on":[124],"standard":[125],"datasets":[126],"such":[127],"ImageNet":[129],"Coil-100":[132],"reveal":[133],"efficacy":[135],"approach.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
