{"id":"https://openalex.org/W2002194693","doi":"https://doi.org/10.1109/ciss.2015.7086814","title":"Structured outlier models for robust dictionary learning","display_name":"Structured outlier models for robust dictionary learning","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2002194693","doi":"https://doi.org/10.1109/ciss.2015.7086814","mag":"2002194693"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2015.7086814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/1266479","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055173150","display_name":"Pedro A. Forero","orcid":null},"institutions":[{"id":"https://openalex.org/I1339224429","display_name":"Naval Information Warfare Center Pacific","ror":"https://ror.org/01gs1cg95","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330347796","https://openalex.org/I1339224429","https://openalex.org/I2802223155","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Pedro A. Forero","raw_affiliation_strings":["SPAWAR Systems Center Pacific, San Diego, CA, United States","SPAWAR Systems Center Pacific, San Diego, CA 92152, United States"],"affiliations":[{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA, United States","institution_ids":["https://openalex.org/I1339224429"]},{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA 92152, United States","institution_ids":["https://openalex.org/I1339224429"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005948973","display_name":"Scott Shafer","orcid":null},"institutions":[{"id":"https://openalex.org/I1339224429","display_name":"Naval Information Warfare Center Pacific","ror":"https://ror.org/01gs1cg95","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330347796","https://openalex.org/I1339224429","https://openalex.org/I2802223155","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Shafer","raw_affiliation_strings":["SPAWAR Systems Center Pacific, San Diego, CA, United States","SPAWAR Systems Center Pacific, San Diego, CA 92152, United States"],"affiliations":[{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA, United States","institution_ids":["https://openalex.org/I1339224429"]},{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA 92152, United States","institution_ids":["https://openalex.org/I1339224429"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000130950","display_name":"Josh Harguess","orcid":"https://orcid.org/0000-0001-8886-8506"},"institutions":[{"id":"https://openalex.org/I1339224429","display_name":"Naval Information Warfare Center Pacific","ror":"https://ror.org/01gs1cg95","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330347796","https://openalex.org/I1339224429","https://openalex.org/I2802223155","https://openalex.org/I3130687028"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Josh Harguess","raw_affiliation_strings":["SPAWAR Systems Center Pacific, San Diego, CA, United States","SPAWAR Systems Center Pacific, San Diego, CA 92152, United States"],"affiliations":[{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA, United States","institution_ids":["https://openalex.org/I1339224429"]},{"raw_affiliation_string":"SPAWAR Systems Center Pacific, San Diego, CA 92152, United States","institution_ids":["https://openalex.org/I1339224429"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055173150"],"corresponding_institution_ids":["https://openalex.org/I1339224429"],"apc_list":null,"apc_paid":null,"fwci":1.3399,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86040476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9991999864578247,"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/T11220","display_name":"Water Systems and Optimization","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7738708853721619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.724992573261261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6679675579071045},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.6031139492988586},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5566631555557251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5075196027755737},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4969046413898468},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.49515500664711},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4902217984199524},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4397137463092804},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.4357033967971802},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4266239106655121},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4236938953399658},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4188433885574341},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3702309727668762},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2709863781929016},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.25407910346984863},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.19456037878990173},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18242520093917847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1705000400543213},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11606261134147644}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7738708853721619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724992573261261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6679675579071045},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.6031139492988586},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5566631555557251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5075196027755737},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4969046413898468},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.49515500664711},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4902217984199524},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4397137463092804},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.4357033967971802},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4266239106655121},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4236938953399658},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4188433885574341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3702309727668762},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2709863781929016},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.25407910346984863},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.19456037878990173},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18242520093917847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1705000400543213},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11606261134147644},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ciss.2015.7086814","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:1266479","is_oa":true,"landing_page_url":"https://zenodo.org/record/1266479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:1266479","is_oa":true,"landing_page_url":"https://zenodo.org/record/1266479","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1591116419","https://openalex.org/W1890834058","https://openalex.org/W1967456674","https://openalex.org/W1986590528","https://openalex.org/W1998925295","https://openalex.org/W1999177119","https://openalex.org/W2007371521","https://openalex.org/W2100556411","https://openalex.org/W2100659887","https://openalex.org/W2105464873","https://openalex.org/W2122361470","https://openalex.org/W2135046866","https://openalex.org/W2167153731","https://openalex.org/W2172038662","https://openalex.org/W2185231601","https://openalex.org/W2296399167","https://openalex.org/W2798766386","https://openalex.org/W2913535645","https://openalex.org/W4235713725","https://openalex.org/W4244633107","https://openalex.org/W6684821110","https://openalex.org/W6750230808","https://openalex.org/W6758920291"],"related_works":["https://openalex.org/W2045881363","https://openalex.org/W2161305109","https://openalex.org/W4298254459","https://openalex.org/W2509955295","https://openalex.org/W2574002037","https://openalex.org/W1576854369","https://openalex.org/W2262166196","https://openalex.org/W1982147402","https://openalex.org/W2030442147","https://openalex.org/W2922522967"],"abstract_inverted_index":{"Robust":[0],"dictionary":[1,8,88],"learning":[2,89],"algorithms":[3,95,112],"seek":[4],"to":[5,12,85],"learn":[6],"a":[7,97],"while":[9],"being":[10],"robust":[11,87,98],"the":[13,18,22,25,49,55,59,76,104,107],"presence":[14],"of":[15,24,48,58,75],"outliers":[16,43,105],"in":[17,106],"training":[19,26,50,60,77,108],"set.":[20,61,109],"Often,":[21],"elements":[23,47,74],"set":[27],"have":[28],"an":[29,70],"underlying":[30,56],"structure":[31,57],"due":[32],"to,":[33],"for":[34],"example,":[35],"their":[36,40],"spatial":[37],"relation":[38],"or":[39],"similarity.":[41],"When":[42],"are":[44,122],"present":[45],"as":[46,69],"set,":[51,78],"they":[52,101],"often":[53],"inherit":[54],"This":[62],"work":[63],"capitalizes":[64],"on":[65,80,114],"such":[66],"structure,":[67],"encoded":[68],"undirected":[71],"graph":[72],"connecting":[73],"and":[79,118],"sparsity-aware":[81],"outlier":[82],"modeling":[83],"tools":[84],"develop":[86],"algorithms.":[90],"Not":[91],"only":[92],"do":[93],"these":[94],"yield":[96],"dictionary,":[99],"but":[100],"also":[102],"identify":[103],"Computationally":[110],"efficient":[111],"based":[113],"block":[115],"coordinate":[116],"descent":[117],"proximal":[119],"gradient":[120],"methods":[121],"developed.":[123]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
