{"id":"https://openalex.org/W2903545545","doi":"https://doi.org/10.23919/eusipco.2018.8553239","title":"Novel Algorithm for Incremental L1-Norm Principal-Component Analysis","display_name":"Novel Algorithm for Incremental L1-Norm Principal-Component Analysis","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2903545545","doi":"https://doi.org/10.23919/eusipco.2018.8553239","mag":"2903545545"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5073389968","display_name":"Mayur Dhanaraj","orcid":"https://orcid.org/0000-0001-5710-0561"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mayur Dhanaraj","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010876698","display_name":"Panos P. Markopoulos","orcid":"https://orcid.org/0000-0001-9686-779X"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Panos P. Markopoulos","raw_affiliation_strings":["Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Microelectronic Engineering, Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155173764"],"apc_list":null,"apc_paid":null,"fwci":1.2628,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.82057201,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2020","last_page":"2024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9983000159263611,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.8032803535461426},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7644672393798828},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6813719868659973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6407759189605713},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5411632657051086},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.523361325263977},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.46378812193870544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41893693804740906},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4020256996154785},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3330056667327881}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8032803535461426},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7644672393798828},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6813719868659973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6407759189605713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5411632657051086},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.523361325263977},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.46378812193870544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41893693804740906},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4020256996154785},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3330056667327881},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553239","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W147992333","https://openalex.org/W1506281249","https://openalex.org/W1539726260","https://openalex.org/W1663973292","https://openalex.org/W1989702938","https://openalex.org/W1992633833","https://openalex.org/W1998925295","https://openalex.org/W2004026774","https://openalex.org/W2018341990","https://openalex.org/W2052433895","https://openalex.org/W2062481674","https://openalex.org/W2071128523","https://openalex.org/W2096642693","https://openalex.org/W2124351162","https://openalex.org/W2131628350","https://openalex.org/W2145962650","https://openalex.org/W2163976215","https://openalex.org/W2277192409","https://openalex.org/W2331052961","https://openalex.org/W2345879355","https://openalex.org/W2529352582","https://openalex.org/W2611695496","https://openalex.org/W2734310432","https://openalex.org/W2770160936","https://openalex.org/W2773706250","https://openalex.org/W2799148064","https://openalex.org/W2962834831","https://openalex.org/W3099157308","https://openalex.org/W3103526270","https://openalex.org/W4212863985","https://openalex.org/W4230927207","https://openalex.org/W4292023222","https://openalex.org/W6605914596","https://openalex.org/W6674909129","https://openalex.org/W6679973066","https://openalex.org/W6704880896","https://openalex.org/W6737658887","https://openalex.org/W6741038646"],"related_works":["https://openalex.org/W1995723671","https://openalex.org/W2164647769","https://openalex.org/W301426590","https://openalex.org/W1975900269","https://openalex.org/W4283792950","https://openalex.org/W2913294167","https://openalex.org/W2735391372","https://openalex.org/W2128040385","https://openalex.org/W2372988594","https://openalex.org/W2531880140"],"abstract_inverted_index":{"L1-norm":[0,40],"Principal-Component":[1],"Analysis":[2],"(L1-PCA)":[3],"has":[4],"been":[5],"shown":[6],"to":[7],"exhibit":[8],"sturdy":[9],"resistance":[10,76],"against":[11],"outliers":[12],"among":[13],"the":[14,38,70],"processed":[15],"data.":[16],"In":[17],"this":[18],"work,":[19],"we":[20],"propose":[21],"L1-IPCA:":[22],"an":[23],"algorithm":[24,36,72],"for":[25,29],"incremental":[26],"L1-PCA,":[27],"appropriate":[28],"big-data":[30],"and":[31,64],"streaming-data":[32],"applications.":[33],"The":[34],"proposed":[35,71],"updates":[37],"calculated":[39],"principal":[41],"components":[42],"as":[43],"new":[44],"data":[45],"points":[46],"arrive,":[47],"conducting":[48],"a":[49],"sequence":[50],"of":[51],"computationally":[52],"efficient":[53],"bit-flipping":[54],"iterations.":[55],"Our":[56],"experimental":[57],"studies":[58],"on":[59],"subspace":[60],"estimation,":[61],"image":[62],"conditioning,":[63],"video":[65],"foreground":[66],"extraction":[67],"illustrate":[68],"that":[69],"attains":[73],"remarkable":[74],"outlier":[75],"at":[77],"low":[78],"computational":[79],"cost.":[80]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
