{"id":"https://openalex.org/W4403390233","doi":"https://doi.org/10.1109/tsp.2024.3479274","title":"Practical and Powerful Kernel-Based Change-Point Detection","display_name":"Practical and Powerful Kernel-Based Change-Point Detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403390233","doi":"https://doi.org/10.1109/tsp.2024.3479274"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2024.3479274","doi":"https://doi.org/10.1109/tsp.2024.3479274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3479274","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.01853","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114859696","display_name":"Hoseung Song","orcid":"https://orcid.org/0000-0003-2689-3735","observed_orcids":["https://orcid.org/0000-0003-2689-3735"]},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hoseung Song","raw_affiliation_strings":["Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0003-2689-3735","affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, KAIST, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100353555","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-4597-2773","observed_orcids":["https://orcid.org/0000-0002-4597-2773"]},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"education","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Department of Statistics, University of California, Davis, Davis, CA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4597-2773","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of California, Davis, Davis, CA, USA","institution_ids":["https://openalex.org/I84218800"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":2.7778,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92586586,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"5174","last_page":"5186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.011099999770522118,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.0007999999797903001,"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/change-point-detection","display_name":"change point detection","score":0.9980000257492065},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.8489999771118164},{"id":"https://openalex.org/keywords/high-dimensional-data","display_name":"high-dimensional data","score":0.9670000076293945},{"id":"https://openalex.org/keywords/false-discovery-rate-control","display_name":"false discovery rate control","score":0.7450000047683716},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.5730000138282776}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6134631633758545},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4908364415168762},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.463010311126709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4026150703430176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38277846574783325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3496856391429901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30241382122039795},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.1161334216594696}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2024.3479274","doi":"https://doi.org/10.1109/tsp.2024.3479274","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2024.3479274","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-a","jufo-3","ki-jl-1","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2206.01853","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.01853","pdf_url":"https://arxiv.org/pdf/2206.01853","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2206.01853","doi":"https://doi.org/10.48550/arxiv.2206.01853","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2206.01853","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.01853","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.01853","pdf_url":"https://arxiv.org/pdf/2206.01853","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2742871904","display_name":"Making Use of the Curse of Dimensionality in Modern Data Analysis","funder_award_id":"2311399","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2791051313","display_name":"CAREER: New Change-Point Problems in Analyzing High-Dimensional and Non-Euclidean Data","funder_award_id":"1848579","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403390233.pdf","grobid_xml":"https://content.openalex.org/works/W4403390233.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W1457965568","https://openalex.org/W1483753971","https://openalex.org/W1669444220","https://openalex.org/W1991118950","https://openalex.org/W1991265199","https://openalex.org/W2003678494","https://openalex.org/W2014010523","https://openalex.org/W2023270772","https://openalex.org/W2038102631","https://openalex.org/W2046660258","https://openalex.org/W2047287351","https://openalex.org/W2056269156","https://openalex.org/W2071152671","https://openalex.org/W2072973390","https://openalex.org/W2078774716","https://openalex.org/W2110097068","https://openalex.org/W2110176078","https://openalex.org/W2110762162","https://openalex.org/W2111876017","https://openalex.org/W2112724113","https://openalex.org/W2125865219","https://openalex.org/W2132373491","https://openalex.org/W2133174470","https://openalex.org/W2140142253","https://openalex.org/W2150427470","https://openalex.org/W2166692930","https://openalex.org/W2170140722","https://openalex.org/W2212660284","https://openalex.org/W2229445817","https://openalex.org/W2240536162","https://openalex.org/W2308827608","https://openalex.org/W2344661967","https://openalex.org/W2594470671","https://openalex.org/W2803669401","https://openalex.org/W2896846610","https://openalex.org/W2908586754","https://openalex.org/W2946357855","https://openalex.org/W2962736036","https://openalex.org/W2962799002","https://openalex.org/W2963554411","https://openalex.org/W2964069854","https://openalex.org/W2990649500","https://openalex.org/W2999963419","https://openalex.org/W3047400685","https://openalex.org/W3048205435","https://openalex.org/W3130983895","https://openalex.org/W3174350961","https://openalex.org/W3175644970","https://openalex.org/W3203232090","https://openalex.org/W4255170875","https://openalex.org/W4297982148","https://openalex.org/W4323656927","https://openalex.org/W4388667043","https://openalex.org/W4410950195","https://openalex.org/W6698187734"],"related_works":["https://openalex.org/W7030386726","https://openalex.org/W2112724113","https://openalex.org/W2563493802","https://openalex.org/W2599881690","https://openalex.org/W3004934785","https://openalex.org/W2794834005","https://openalex.org/W3037229828","https://openalex.org/W2883518512","https://openalex.org/W7161236677","https://openalex.org/W3003635785"],"abstract_inverted_index":{"Change-point":[0],"analysis":[1,124],"plays":[2],"a":[3,15,20,52,106,126],"significant":[4],"role":[5],"in":[6,12,14,40,65,135],"various":[7],"fields":[8],"to":[9,38,68,73],"reveal":[10],"discrepancies":[11],"distribution":[13],"sequence":[16],"of":[17,22,59,63,76,109,125],"observations.":[18],"While":[19],"number":[21],"algorithms":[23],"have":[24,32],"been":[25,34],"proposed":[26,131],"for":[27,96,105],"high-dimensional":[28],"data,":[29],"kernel-based":[30,54],"methods":[31,132],"not":[33],"well":[35],"explored":[36],"due":[37],"difficulties":[39],"controlling":[41],"false":[42],"discoveries":[43],"and":[44,82],"mediocre":[45],"performance.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50],"propose":[51],"new":[53,78,100,120],"framework":[55],"that":[56],"makes":[57],"use":[58],"an":[60,123,136],"important":[61],"pattern":[62],"data":[64],"high":[66],"dimensions":[67],"boost":[69],"power.":[70],"Analytic":[71],"approximations":[72],"the":[74,77,87],"significance":[75],"statistics":[79],"are":[80,90,133],"derived":[81],"fast":[83],"tests":[84,101],"based":[85],"on":[86],"asymptotic":[88],"results":[89],"proposed,":[91],"offering":[92],"easy":[93],"off-the-shelf":[94],"tools":[95],"large":[97],"datasets.":[98],"The":[99],"show":[102],"superior":[103],"performance":[104],"wide":[107],"range":[108],"alternatives":[110],"when":[111],"compared":[112],"with":[113],"other":[114],"state-of-the-art":[115],"methods.":[116],"We":[117],"illustrate":[118],"these":[119],"approaches":[121],"through":[122],"phone-call":[127],"network":[128],"data.":[129],"All":[130],"implemented":[134],"R":[137],"package":[138],"kerSeg.":[139]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":3}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2024-10-15T00:00:00"}