{"id":"https://openalex.org/W3043263114","doi":"https://doi.org/10.1109/access.2020.3008841","title":"Hierarchical Discriminative Deep Dictionary Learning","display_name":"Hierarchical Discriminative Deep Dictionary Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3043263114","doi":"https://doi.org/10.1109/access.2020.3008841","mag":"3043263114"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3008841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3008841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139487.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09139487.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064770865","display_name":"Ulises Rodr\u00edguez\u2010Dom\u00ednguez","orcid":"https://orcid.org/0000-0001-9192-584X"},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Ulises Rodriguez-Dominguez","raw_affiliation_strings":["Mathematics Research Center, Guanajuato, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-9192-584X","affiliations":[{"raw_affiliation_string":"Mathematics Research Center, Guanajuato, Mexico","institution_ids":["https://openalex.org/I124618812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011342780","display_name":"Oscar Dalmau","orcid":"https://orcid.org/0000-0002-1828-8458"},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Oscar Dalmau","raw_affiliation_strings":["Mathematics Research Center, Guanajuato, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-1828-8458","affiliations":[{"raw_affiliation_string":"Mathematics Research Center, Guanajuato, Mexico","institution_ids":["https://openalex.org/I124618812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064770865"],"corresponding_institution_ids":["https://openalex.org/I124618812"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7846,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.7437027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"142680","last_page":"142690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9914000034332275,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9914000034332275,"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":0.9890000224113464,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9883999824523926,"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/discriminative-model","display_name":"Discriminative model","score":0.8927273750305176},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7801803946495056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7172822952270508},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6132333874702454},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5931996703147888},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5436020493507385},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5369927883148193},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.5356236696243286},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5181673765182495},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5116100907325745},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46432963013648987},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.43599390983581543},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4338306188583374},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4275643229484558},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.3773636221885681},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24866336584091187}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8927273750305176},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7801803946495056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7172822952270508},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6132333874702454},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5931996703147888},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5436020493507385},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5369927883148193},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.5356236696243286},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5181673765182495},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5116100907325745},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46432963013648987},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.43599390983581543},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4338306188583374},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4275643229484558},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.3773636221885681},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24866336584091187},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3008841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3008841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139487.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5e3850afded74b38a0784307fe6b6029","is_oa":true,"landing_page_url":"https://doaj.org/article/5e3850afded74b38a0784307fe6b6029","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 8, Pp 142680-142690 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3008841","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3008841","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09139487.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G5593086030","display_name":null,"funder_award_id":"296737","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"},{"id":"https://openalex.org/G7468750443","display_name":null,"funder_award_id":"258033","funder_id":"https://openalex.org/F4320321739","funder_display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda"}],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3043263114.pdf","grobid_xml":"https://content.openalex.org/works/W3043263114.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W343811051","https://openalex.org/W580709845","https://openalex.org/W1482998036","https://openalex.org/W1591385104","https://openalex.org/W1768680127","https://openalex.org/W1782590233","https://openalex.org/W1963932623","https://openalex.org/W2027805700","https://openalex.org/W2081477191","https://openalex.org/W2097486709","https://openalex.org/W2100556411","https://openalex.org/W2103560185","https://openalex.org/W2112796928","https://openalex.org/W2123872146","https://openalex.org/W2123921160","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2145962650","https://openalex.org/W2152332944","https://openalex.org/W2157785665","https://openalex.org/W2490391915","https://openalex.org/W2513634317","https://openalex.org/W2560042709","https://openalex.org/W2618372886","https://openalex.org/W2728364730","https://openalex.org/W2756249521","https://openalex.org/W2791743043","https://openalex.org/W2792737846","https://openalex.org/W2857111758","https://openalex.org/W2885170626","https://openalex.org/W2896470970","https://openalex.org/W2901819993","https://openalex.org/W2902740684","https://openalex.org/W2917527280","https://openalex.org/W2942519784","https://openalex.org/W2949578333","https://openalex.org/W2952071070","https://openalex.org/W2963309201","https://openalex.org/W2963368219","https://openalex.org/W2963630677","https://openalex.org/W2963703618","https://openalex.org/W2970301045","https://openalex.org/W2981072058","https://openalex.org/W2996476963","https://openalex.org/W3098829776","https://openalex.org/W6611483728","https://openalex.org/W6635552349","https://openalex.org/W6638052449","https://openalex.org/W6678131844","https://openalex.org/W6743446608"],"related_works":["https://openalex.org/W1828907538","https://openalex.org/W2509955295","https://openalex.org/W3119773509","https://openalex.org/W4295805486","https://openalex.org/W3208297503","https://openalex.org/W2889153461","https://openalex.org/W2761785940","https://openalex.org/W2964117661","https://openalex.org/W2783701116","https://openalex.org/W2153315159"],"abstract_inverted_index":{"In":[0,64],"deep":[1],"dictionary":[2,22],"learning":[3,23],"multiple":[4,44],"dictionaries":[5,42],"are":[6,70],"learned":[7,40],"based":[8],"on":[9,83],"information":[10],"at":[11,43],"various":[12],"levels":[13,46],"of":[14,55],"abstraction.":[15],"We":[16,79],"propose":[17],"a":[18,27,48,52],"novel":[19],"hierarchical":[20,45],"discriminative":[21],"layer":[24],"embedded":[25],"within":[26],"neural":[28],"network":[29],"with":[30],"an":[31],"image":[32],"classification":[33,96],"objective.":[34],"Discrimination":[35],"is":[36],"induced":[37],"in":[38,47],"the":[39,56,60,73],"synthesis":[41],"simple":[49],"way":[50],"by":[51],"one-hot-code":[53],"representation":[54,68],"class":[57],"labels":[58],"during":[59,72],"training":[61],"backward":[62],"pass.":[63],"addition,":[65],"local":[66,77],"sparse":[67],"objectives":[69],"approximated":[71],"forward":[74],"pass,":[75],"introducing":[76],"regularization.":[78],"evaluate":[80],"our":[81],"proposal":[82],"five":[84],"known":[85],"datasets":[86],"and":[87],"we":[88],"either":[89],"outperform":[90],"state-of-the-art":[91],"methods":[92],"or":[93],"achieve":[94],"competitive":[95],"results.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}