{"id":"https://openalex.org/W1988337847","doi":"https://doi.org/10.1109/icassp.2014.6854604","title":"Dictionary learning for sparse representation: Complexity and algorithms","display_name":"Dictionary learning for sparse representation: Complexity and algorithms","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1988337847","doi":"https://doi.org/10.1109/icassp.2014.6854604","mag":"1988337847"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5041237539","display_name":"Meisam Razaviyayn","orcid":"https://orcid.org/0000-0003-4342-6661"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Meisam Razaviyayn","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109967409","display_name":"Hung-Wei Tseng","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung-Wei Tseng","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109148997","display_name":"Zhi-Quan Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhi-Quan Luo","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng, Univ. of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041237539"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":5.0461,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.95194712,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":null,"first_page":"5247","last_page":"5251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998000264167786,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/k-svd","display_name":"K-SVD","score":0.8703702688217163},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.7611789107322693},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.752653181552887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.687716007232666},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.6292763948440552},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.55190509557724},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5274876356124878},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5147778987884521},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47656846046447754},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4592774510383606},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3288968801498413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2223203182220459}],"concepts":[{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.8703702688217163},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.7611789107322693},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.752653181552887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.687716007232666},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.6292763948440552},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.55190509557724},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5274876356124878},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5147778987884521},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47656846046447754},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4592774510383606},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3288968801498413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2223203182220459},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854604","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1594793942","https://openalex.org/W1974480136","https://openalex.org/W1989975849","https://openalex.org/W2028781966","https://openalex.org/W2046165240","https://openalex.org/W2050968963","https://openalex.org/W2078908559","https://openalex.org/W2102701524","https://openalex.org/W2105464873","https://openalex.org/W2106407813","https://openalex.org/W2113606819","https://openalex.org/W2114129195","https://openalex.org/W2115429828","https://openalex.org/W2118718620","https://openalex.org/W2122548617","https://openalex.org/W2128638419","https://openalex.org/W2134120396","https://openalex.org/W2135479785","https://openalex.org/W2139869783","https://openalex.org/W2140499889","https://openalex.org/W2142940228","https://openalex.org/W2145096794","https://openalex.org/W2153663612","https://openalex.org/W2163398148","https://openalex.org/W2166843080","https://openalex.org/W2168319017","https://openalex.org/W2186190626","https://openalex.org/W2296616510","https://openalex.org/W2315919170","https://openalex.org/W2482276862","https://openalex.org/W2798766386","https://openalex.org/W2953139536","https://openalex.org/W4244633107","https://openalex.org/W4250955649","https://openalex.org/W4252713891","https://openalex.org/W6643579956","https://openalex.org/W6662216063","https://openalex.org/W6677759377","https://openalex.org/W6685335849","https://openalex.org/W6686585099"],"related_works":["https://openalex.org/W2157785665","https://openalex.org/W2074079618","https://openalex.org/W2356240967","https://openalex.org/W2076536152","https://openalex.org/W2035746673","https://openalex.org/W3002372064","https://openalex.org/W2292423757","https://openalex.org/W1982774199","https://openalex.org/W2586481174","https://openalex.org/W1914651075"],"abstract_inverted_index":{"In":[0],"this":[1,16,34],"paper":[2],"we":[3],"consider":[4],"the":[5,41,57,67,71,74,77],"dictionary":[6,25,48,79],"learning":[7,26,49,80],"problem":[8,17],"for":[9],"sparse":[10],"representation.":[11],"We":[12],"first":[13],"show":[14],"that":[15,85],"is":[18,51],"NP-hard":[19],"and":[20,73],"then":[21],"propose":[22],"an":[23],"efficient":[24],"scheme":[27,50,81],"to":[28,54,56,84],"solve":[29],"several":[30],"practical":[31],"formulations":[32],"of":[33,59,76,86],"problem.":[35],"Unlike":[36],"many":[37],"existing":[38],"algorithms":[39],"in":[40,89],"literature,":[42],"such":[43],"as":[44],"K-SVD,":[45],"our":[46],"proposed":[47,78],"theoretically":[52],"guaranteed":[53],"converge":[55],"set":[58],"stationary":[60],"points":[61],"under":[62],"certain":[63],"mild":[64],"assumptions.":[65],"For":[66],"image":[68],"denoising":[69],"application,":[70],"performance":[72],"efficiency":[75],"are":[82],"comparable":[83],"K-SVD":[87],"algorithm":[88],"simulation.":[90]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}