{"id":"https://openalex.org/W2086148106","doi":"https://doi.org/10.1145/1401890.1401949","title":"Cut-and-stitch","display_name":"Cut-and-stitch","publication_year":2008,"publication_date":"2008-08-24","ids":{"openalex":"https://openalex.org/W2086148106","doi":"https://doi.org/10.1145/1401890.1401949","mag":"2086148106"},"language":"en","primary_location":{"id":"doi:10.1145/1401890.1401949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401890.1401949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"},"type":"article","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/A5100440407","display_name":"Lei Li","orcid":"https://orcid.org/0000-0003-3095-9776"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lei Li","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101741811","display_name":"Wenjie Fu","orcid":"https://orcid.org/0000-0002-2772-6712"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenjie Fu","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729591","display_name":"Fan Guo","orcid":"https://orcid.org/0009-0007-6842-5899"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fan Guo","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076667915","display_name":"Todd C. Mowry","orcid":"https://orcid.org/0000-0003-4076-5684"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Todd C. Mowry","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA","Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Carnegie-Mellon University, Pittsburgh, Pa., USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100440407"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.2783,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.88264043,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"471","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9950000047683716,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9950000047683716,"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/T10320","display_name":"Neural Networks and Applications","score":0.9919000267982483,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9815999865531921,"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/computer-science","display_name":"Computer science","score":0.7781452536582947},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7159876823425293},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.661693811416626},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.5832837820053101},{"id":"https://openalex.org/keywords/supercomputer","display_name":"Supercomputer","score":0.5614822506904602},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5397575497627258},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.5311203002929688},{"id":"https://openalex.org/keywords/parallel-algorithm","display_name":"Parallel algorithm","score":0.5145654082298279},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5079002976417542},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.43797820806503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28400087356567383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22873711585998535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781452536582947},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7159876823425293},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.661693811416626},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.5832837820053101},{"id":"https://openalex.org/C83283714","wikidata":"https://www.wikidata.org/wiki/Q121117","display_name":"Supercomputer","level":2,"score":0.5614822506904602},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5397575497627258},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.5311203002929688},{"id":"https://openalex.org/C120373497","wikidata":"https://www.wikidata.org/wiki/Q1087987","display_name":"Parallel algorithm","level":2,"score":0.5145654082298279},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5079002976417542},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.43797820806503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28400087356567383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22873711585998535},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1401890.1401949","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1401890.1401949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining","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":19,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1663973292","https://openalex.org/W2008475755","https://openalex.org/W2099262739","https://openalex.org/W2104644701","https://openalex.org/W2109722477","https://openalex.org/W2111794988","https://openalex.org/W2117990954","https://openalex.org/W2125126592","https://openalex.org/W2136674263","https://openalex.org/W2145771765","https://openalex.org/W2155113671","https://openalex.org/W2173213060","https://openalex.org/W2594639291","https://openalex.org/W3145491929","https://openalex.org/W4248401077","https://openalex.org/W6629510986","https://openalex.org/W6676367512","https://openalex.org/W6677732001"],"related_works":["https://openalex.org/W2384867379","https://openalex.org/W2329539859","https://openalex.org/W3191490922","https://openalex.org/W2227905990","https://openalex.org/W2765823764","https://openalex.org/W3214280620","https://openalex.org/W2794038527","https://openalex.org/W2151092287","https://openalex.org/W2523801036","https://openalex.org/W2505959877"],"abstract_inverted_index":{"Multi-core":[0],"processors":[1],"with":[2,147],"ever":[3],"increasing":[4],"number":[5],"of":[6,23,46,89],"cores":[7],"per":[8],"chip":[9],"are":[10,58],"becoming":[11],"prevalent":[12],"in":[13,61,92],"modern":[14],"parallel":[15,41,123],"computing.":[16],"Our":[17],"goal":[18],"is":[19],"to":[20,31,80,96,144],"make":[21],"use":[22],"the":[24,82,86,98,105,135],"multi-core":[25],"as":[26,28,53,66,95,152],"well":[27],"multi-processor":[29],"architectures":[30],"speed":[32],"up":[33],"data":[34,83],"mining":[35],"algorithms.":[36],"Specifically,":[37],"we":[38],"present":[39],"a":[40,77,111,114],"algorithm":[42,106],"for":[43],"approximate":[44],"learning":[45,101],"Linear":[47],"Dynamical":[48],"Systems":[49],"(LDS),":[50],"also":[51],"known":[52],"Kalman":[54,159],"Filters":[55,160],"(KF).":[56],"LDSs":[57],"widely":[59],"used":[60],"time":[62],"series":[63],"analysis":[64],"such":[65,151],"motion":[67],"capture":[68],"modeling,":[69],"visual":[70],"tracking":[71],"etc.":[72],"We":[73,103],"propose":[74],"Cut-And-Stitch":[75,126,140],"(CAS),":[76],"novel":[78],"method":[79],"handle":[81],"dependencies":[84],"from":[85],"chain":[87],"structure":[88],"hidden":[90],"variables":[91],"LDS,":[93],"so":[94],"parallelize":[97],"EM-based":[99],"parameter":[100],"algorithm.":[102],"implement":[104],"using":[107,125],"OpenMP":[108],"on":[109],"both":[110],"supercomputer":[112],"and":[113,130,157],"quad-core":[115],"commercial":[116],"desktop.":[117],"The":[118],"experimental":[119],"results":[120],"show":[121],"that":[122],"algorithms":[124],"achieve":[127],"comparable":[128],"accuracy":[129],"almost":[131],"linear":[132,149],"speedups":[133],"over":[134],"serial":[136],"version.":[137],"In":[138],"addition,":[139],"can":[141],"be":[142],"generalized":[143],"other":[145],"models":[146],"similar":[148],"structures":[150],"Hidden":[153],"Markov":[154],"Models":[155],"(HMM)":[156],"Switching":[158],"(SKF).":[161]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2016-06-24T00:00:00"}