{"id":"https://openalex.org/W2560042709","doi":"https://doi.org/10.1109/access.2016.2611583","title":"Deep Dictionary Learning","display_name":"Deep Dictionary Learning","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2560042709","doi":"https://doi.org/10.1109/access.2016.2611583","mag":"2560042709"},"language":"en","primary_location":{"id":"doi:10.1109/access.2016.2611583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2611583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7419931/07779008.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/7419931/07779008.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060728957","display_name":"Snigdha Tariyal","orcid":null},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Snigdha Tariyal","raw_affiliation_strings":["IIIT Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020310463","display_name":"Angshul Majumdar","orcid":"https://orcid.org/0000-0002-1065-3000"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Angshul Majumdar","raw_affiliation_strings":["IIIT Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["IIIT Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa","orcid":"https://orcid.org/0000-0001-5952-2274"},"institutions":[{"id":"https://openalex.org/I119939252","display_name":"Indraprastha Institute of Information Technology Delhi","ror":"https://ror.org/03vfp4g33","country_code":"IN","type":"education","lineage":["https://openalex.org/I119939252"]},{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["IIIT Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"IIIT Delhi, New Delhi, India","institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060728957"],"corresponding_institution_ids":["https://openalex.org/I119939252","https://openalex.org/I68891433"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":9.6596,"has_fulltext":true,"cited_by_count":178,"citation_normalized_percentile":{"value":0.98761922,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"4","issue":null,"first_page":"10096","last_page":"10109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9800999760627747,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9800999760627747,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9786999821662903,"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/T10860","display_name":"Speech and Audio Processing","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7390527129173279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5495395660400391},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4210147261619568},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.401028573513031},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3328377306461334},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.10682708024978638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7390527129173279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5495395660400391},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4210147261619568},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.401028573513031},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3328377306461334},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.10682708024978638}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2016.2611583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2611583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7419931/07779008.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c9a867b7603a4d1583fd9c31a49983c3","is_oa":true,"landing_page_url":"https://doaj.org/article/c9a867b7603a4d1583fd9c31a49983c3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 4, Pp 10096-10109 (2016)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2016.2611583","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2016.2611583","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/7419931/07779008.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2560042709.pdf","grobid_xml":"https://content.openalex.org/works/W2560042709.grobid-xml"},"referenced_works_count":102,"referenced_works":["https://openalex.org/W189596042","https://openalex.org/W1526002201","https://openalex.org/W1567856076","https://openalex.org/W1616262590","https://openalex.org/W1853900790","https://openalex.org/W1902027874","https://openalex.org/W1963932623","https://openalex.org/W1964155876","https://openalex.org/W1964749215","https://openalex.org/W1972715665","https://openalex.org/W1979347854","https://openalex.org/W1985552372","https://openalex.org/W1990618541","https://openalex.org/W1992405901","https://openalex.org/W1993260569","https://openalex.org/W1994197834","https://openalex.org/W1994281301","https://openalex.org/W1997565609","https://openalex.org/W2013221123","https://openalex.org/W2017257315","https://openalex.org/W2018703285","https://openalex.org/W2027805700","https://openalex.org/W2028781966","https://openalex.org/W2032768707","https://openalex.org/W2048291033","https://openalex.org/W2054912984","https://openalex.org/W2062888624","https://openalex.org/W2065012543","https://openalex.org/W2069724725","https://openalex.org/W2082855665","https://openalex.org/W2087796110","https://openalex.org/W2089981451","https://openalex.org/W2090042335","https://openalex.org/W2099321050","https://openalex.org/W2100286988","https://openalex.org/W2100495367","https://openalex.org/W2105464873","https://openalex.org/W2106005123","https://openalex.org/W2106334384","https://openalex.org/W2107214962","https://openalex.org/W2109999391","https://openalex.org/W2110798204","https://openalex.org/W2115429828","https://openalex.org/W2115706991","https://openalex.org/W2117882039","https://openalex.org/W2126534699","https://openalex.org/W2128151361","https://openalex.org/W2128638419","https://openalex.org/W2128659236","https://openalex.org/W2129638195","https://openalex.org/W2129812935","https://openalex.org/W2130789253","https://openalex.org/W2130951397","https://openalex.org/W2133824856","https://openalex.org/W2135184018","https://openalex.org/W2136922672","https://openalex.org/W2142848040","https://openalex.org/W2145094598","https://openalex.org/W2146047955","https://openalex.org/W2152046843","https://openalex.org/W2153315159","https://openalex.org/W2153663612","https://openalex.org/W2155231285","https://openalex.org/W2156504490","https://openalex.org/W2156642959","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2161708246","https://openalex.org/W2163398148","https://openalex.org/W2164647001","https://openalex.org/W2180695702","https://openalex.org/W2218318129","https://openalex.org/W2405933695","https://openalex.org/W2406524659","https://openalex.org/W2950967860","https://openalex.org/W2951692858","https://openalex.org/W2953139536","https://openalex.org/W2997574889","https://openalex.org/W3099772762","https://openalex.org/W3102431071","https://openalex.org/W4231109964","https://openalex.org/W4250955649","https://openalex.org/W4300824154","https://openalex.org/W6607775107","https://openalex.org/W6631396914","https://openalex.org/W6633757495","https://openalex.org/W6638896900","https://openalex.org/W6666219178","https://openalex.org/W6675992869","https://openalex.org/W6676454372","https://openalex.org/W6676481782","https://openalex.org/W6678757208","https://openalex.org/W6678923479","https://openalex.org/W6681096077","https://openalex.org/W6681521150","https://openalex.org/W6682411926","https://openalex.org/W6682686508","https://openalex.org/W6682872168","https://openalex.org/W6685803058","https://openalex.org/W6688386640","https://openalex.org/W6713590816","https://openalex.org/W6785476188"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Two":[0],"popular":[1],"representation":[2],"learning":[3,7,13,16,24,30,56,79,121,146],"paradigms":[4,51],"are":[5],"dictionary":[6,12,55,69,120],"and":[8,18,57,88,105],"deep":[9,23,54,78,85,119,145],"learning.":[10,70],"While":[11],"focuses":[14,25,43],"on":[15,26,44,93],"\u201cbasis\u201d":[17],"\u201cfeatures\u201d":[19],"by":[20,38,52],"matrix":[21],"factorization,":[22],"extracting":[27],"features":[28],"via":[29],"\u201cweights\u201d":[31],"or":[32],"\u201cfilter\u201d":[33],"in":[34],"a":[35,109,141],"greedy":[36],"layer":[37,39],"fashion.":[40],"This":[41],"paper":[42],"combining":[45],"the":[46,66,99,133,138],"concepts":[47],"of":[48,68,112,144],"these":[49],"two":[50],"proposing":[53],"show":[58,97,117],"how":[59],"deeper":[60],"architectures":[61],"can":[62,136],"be":[63],"built":[64],"using":[65],"layers":[67],"The":[71],"proposed":[72,100,134],"technique":[73,101],"is":[74],"compared":[75],"with":[76],"other":[77],"approaches,":[80],"such":[81],"as":[82],"stacked":[83],"autoencoder,":[84],"belief":[86],"network,":[87],"convolutional":[89],"neural":[90],"network.":[91],"Experiments":[92],"benchmark":[94],"data":[95],"sets":[96],"that":[98,118,132],"achieves":[102],"higher":[103],"classification":[104],"clustering":[106],"accuracies.":[107],"On":[108],"real-world":[110],"problem":[111],"electrical":[113],"appliance":[114],"classification,":[115],"we":[116],"excels":[122],"where":[123],"others":[124],"do":[125],"not":[126],"yield":[127],"at-par":[128],"performance.":[129],"We":[130],"postulate":[131],"formulation":[135],"pave":[137],"path":[139],"for":[140],"new":[142],"class":[143],"tools.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":30},{"year":2019,"cited_by_count":29},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":11}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}