{"id":"https://openalex.org/W2949533440","doi":"https://doi.org/10.1007/s00180-019-00903-0","title":"Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination","display_name":"Simple Poisson PCA: an algorithm for (sparse) feature extraction with simultaneous dimension determination","publication_year":2019,"publication_date":"2019-06-11","ids":{"openalex":"https://openalex.org/W2949533440","doi":"https://doi.org/10.1007/s00180-019-00903-0","mag":"2949533440"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-019-00903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00903-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00903-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001941462","display_name":"Luke Smallman","orcid":"https://orcid.org/0000-0002-4114-310X"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Luke Smallman","raw_affiliation_strings":["School of Mathematics, Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK"],"raw_orcid":"https://orcid.org/0000-0002-4114-310X","affiliations":[{"raw_affiliation_string":"School of Mathematics, Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006494070","display_name":"William G. Underwood","orcid":"https://orcid.org/0000-0003-4604-1548"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William Underwood","raw_affiliation_strings":["Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6CG, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical Institute, University of Oxford, Woodstock Road, Oxford, OX2 6CG, UK","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053753516","display_name":"Andreas Artemiou","orcid":"https://orcid.org/0000-0002-7501-4090"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andreas Artemiou","raw_affiliation_strings":["School of Mathematics, Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Cardiff University, Senghennydd Road, Cardiff, CF24 4AG, UK","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001941462"],"corresponding_institution_ids":["https://openalex.org/I79510175"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":0.8346,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72645358,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"35","issue":"2","first_page":"559","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.995199978351593,"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/T10057","display_name":"Face and Expression Recognition","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.7385070323944092},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7330703735351562},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.692773699760437},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6687695384025574},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.6259444355964661},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5820324420928955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5558432936668396},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5334517955780029},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5030285716056824},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.47254443168640137},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37308722734451294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3343132734298706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32848885655403137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29468634724617004},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09323427081108093}],"concepts":[{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.7385070323944092},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7330703735351562},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.692773699760437},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6687695384025574},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.6259444355964661},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5820324420928955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5558432936668396},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5334517955780029},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5030285716056824},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47254443168640137},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37308722734451294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3343132734298706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32848885655403137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29468634724617004},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09323427081108093},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00180-019-00903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00903-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:122624","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:RePEc:spr:compst:v:35:y:2020:i:2:d:10.1007_s00180-019-00903-0","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-019-00903-0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s00180-019-00903-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00180-019-00903-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00180-019-00903-0.pdf","source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320350","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949533440.pdf","grobid_xml":"https://content.openalex.org/works/W2949533440.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1488394244","https://openalex.org/W1975900269","https://openalex.org/W1987971958","https://openalex.org/W2074682976","https://openalex.org/W2105622852","https://openalex.org/W2125027820","https://openalex.org/W2135001774","https://openalex.org/W2135046866","https://openalex.org/W2139701068","https://openalex.org/W2148495331","https://openalex.org/W2222886592","https://openalex.org/W2294798173","https://openalex.org/W2341365829","https://openalex.org/W2427368421","https://openalex.org/W2507470109","https://openalex.org/W2809400905"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W2883439616","https://openalex.org/W4234877896","https://openalex.org/W2531264786","https://openalex.org/W3142002785"],"abstract_inverted_index":{"Dimension":[0],"reduction":[1],"tools":[2],"offer":[3],"a":[4],"popular":[5],"approach":[6],"to":[7,58,64],"analysis":[8,40],"of":[9,70,81],"high-dimensional":[10],"big":[11],"data.":[12,27,55],"In":[13,56],"this":[14],"paper,":[15],"we":[16,41],"propose":[17],"an":[18],"algorithm":[19,33,61],"for":[20,25,31],"sparse":[21],"Principal":[22],"Component":[23],"Analysis":[24],"non-Gaussian":[26],"Since":[28],"our":[29,60,82],"interest":[30],"the":[32,44,67,74],"stems":[34],"from":[35],"applications":[36],"in":[37,52,73],"text":[38,54],"data":[39,91],"focus":[42],"on":[43],"Poisson":[45],"distribution":[46],"which":[47],"has":[48],"been":[49],"used":[50],"extensively":[51],"analysing":[53],"addition":[57],"sparsity":[59],"is":[62,84],"able":[63],"effectively":[65],"determine":[66],"desired":[68],"number":[69],"principal":[71],"components":[72],"model":[75],"(order":[76],"determination).":[77],"The":[78],"good":[79],"performance":[80],"proposal":[83],"demonstrated":[85],"with":[86],"both":[87],"synthetic":[88],"and":[89],"real":[90],"examples.":[92]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}