{"id":"https://openalex.org/W2550781223","doi":"https://doi.org/10.1109/mlsp.2016.7738900","title":"Low dimensional subspace finding via size-reducing dictionary learning","display_name":"Low dimensional subspace finding via size-reducing dictionary learning","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2550781223","doi":"https://doi.org/10.1109/mlsp.2016.7738900","mag":"2550781223"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2016.7738900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5023994037","display_name":"Bogdan Dumitrescu","orcid":"https://orcid.org/0000-0003-4555-1714"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Bogdan Dumitrescu","raw_affiliation_strings":["Department of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055191887","display_name":"Paul Irofti","orcid":"https://orcid.org/0000-0002-7541-4334"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Paul Irofti","raw_affiliation_strings":["Department of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automatic Control and Computers, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":1.0653,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77140234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/matching-pursuit","display_name":"Matching pursuit","score":0.7406347990036011},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7309582233428955},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7188076376914978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6283401250839233},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.6099181175231934},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5609965920448303},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.556415319442749},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.5257231593132019},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5116837024688721},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.505068838596344},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5011708736419678},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5005271434783936},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4499264657497406},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4436837434768677},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4313156306743622},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42567309737205505},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.42041391134262085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2974340617656708},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.11937353014945984}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7406347990036011},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7309582233428955},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7188076376914978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6283401250839233},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.6099181175231934},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5609965920448303},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.556415319442749},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.5257231593132019},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5116837024688721},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.505068838596344},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5011708736419678},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5005271434783936},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4499264657497406},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4436837434768677},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4313156306743622},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42567309737205505},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.42041391134262085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2974340617656708},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.11937353014945984},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2016.7738900","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2016.7738900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W100695655","https://openalex.org/W124546409","https://openalex.org/W1890834058","https://openalex.org/W1923938124","https://openalex.org/W2011359124","https://openalex.org/W2021498898","https://openalex.org/W2031299022","https://openalex.org/W2045328647","https://openalex.org/W2075406189","https://openalex.org/W2081411525","https://openalex.org/W2086962710","https://openalex.org/W2103450852","https://openalex.org/W2103972604","https://openalex.org/W2106460483","https://openalex.org/W2111304728","https://openalex.org/W2115549875","https://openalex.org/W2118990207","https://openalex.org/W2128659236","https://openalex.org/W2141712273","https://openalex.org/W2160547390","https://openalex.org/W2161991491","https://openalex.org/W2163398148","https://openalex.org/W2167167503","https://openalex.org/W2296399167","https://openalex.org/W6604110224","https://openalex.org/W6605122724","https://openalex.org/W6677446445"],"related_works":["https://openalex.org/W2161305109","https://openalex.org/W1992008660","https://openalex.org/W1973732034","https://openalex.org/W4245251483","https://openalex.org/W2244609343","https://openalex.org/W2364118486","https://openalex.org/W2793063187","https://openalex.org/W4254934694","https://openalex.org/W204290405","https://openalex.org/W2026350744"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,16,28,44,91],"dictionary":[3,14,40,74],"learning":[4,21],"algorithm":[5,64,77],"that":[6,35],"aims":[7],"to":[8,15,67,81],"reduce":[9],"the":[10,13,20,48,54,57,68,76],"size":[11],"of":[12,50,70],"parsimonious":[17],"value":[18],"during":[19],"process.":[22],"The":[23,39,63],"sparse":[24],"coding":[25],"step":[26,42],"uses":[27],"weighted":[29],"Orthogonal":[30],"Matching":[31],"Pursuit":[32],"favoring":[33],"atoms":[34,60],"enter":[36],"more":[37],"representations.":[38],"update":[41],"optimizes":[43],"regularized":[45],"error,":[46],"encouraging":[47],"apparition":[49],"zero":[51],"rows":[52],"in":[53],"representation":[55],"matrix;":[56],"corresponding":[58],"unused":[59],"are":[61],"eliminated.":[62],"is":[65,78,90],"extended":[66],"case":[69],"incomplete":[71],"data.":[72],"Besides":[73],"learning,":[75],"also":[79],"shown":[80],"be":[82],"useful":[83],"for":[84],"finding":[85],"low-dimensional":[86],"subspaces.":[87],"Such":[88],"versatility":[89],"feature":[92],"with":[93],"little":[94],"precedent.":[95],"Numerical":[96],"examples":[97],"show":[98],"good":[99],"convergence":[100],"properties.":[101]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}