{"id":"https://openalex.org/W2102894487","doi":"https://doi.org/10.1109/cvpr.2008.4587385","title":"Pattern discovery in motion time series via structure-based spectral clustering","display_name":"Pattern discovery in motion time series via structure-based spectral clustering","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2102894487","doi":"https://doi.org/10.1109/cvpr.2008.4587385","mag":"2102894487"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","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/A5101845935","display_name":"Xiaozhe Wang","orcid":"https://orcid.org/0000-0003-4824-4496"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiaozhe Wang","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456470","display_name":"Liang Wang","orcid":"https://orcid.org/0000-0001-5444-748X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Liang Wang","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087794199","display_name":"Anthony Wirth","orcid":"https://orcid.org/0000-0003-3746-6704"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Anthony Wirth","raw_affiliation_strings":["Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Software Eng., Melbourne Univ., Melbourne, VIC","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1407,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78781362,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9916999936103821,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9442999958992004,"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/series","display_name":"Series (stratigraphy)","score":0.6668551564216614},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6150630116462708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6059696078300476},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5038792490959167},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.47491392493247986},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.44300898909568787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.428302526473999},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32927441596984863},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14111670851707458},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12194347381591797},{"id":"https://openalex.org/keywords/paleontology","display_name":"Paleontology","score":0.054837316274642944}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6668551564216614},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6150630116462708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6059696078300476},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5038792490959167},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.47491392493247986},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.44300898909568787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.428302526473999},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32927441596984863},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14111670851707458},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12194347381591797},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.054837316274642944}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/cvpr.2008.4587385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587385","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.409.1617","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.409.1617","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://mplab.ucsd.edu/wp-content/uploads/cvpr2008/conference/data/papers/045.pdf","raw_type":"text"},{"id":"pmh:oai:jupiter.its.unimelb.edu.au:11343/31995","is_oa":false,"landing_page_url":"http://hdl.handle.net/11343/31995","pdf_url":null,"source":{"id":"https://openalex.org/S4377196259","display_name":"Minerva Access (University of Melbourne)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165779595","host_organization_name":"The University of Melbourne","host_organization_lineage":["https://openalex.org/I165779595"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W129305155","https://openalex.org/W140867740","https://openalex.org/W1536447791","https://openalex.org/W1543298386","https://openalex.org/W1560013842","https://openalex.org/W1569484039","https://openalex.org/W1593282625","https://openalex.org/W1611682757","https://openalex.org/W1644934820","https://openalex.org/W1853995153","https://openalex.org/W1969761972","https://openalex.org/W1971784203","https://openalex.org/W1976557506","https://openalex.org/W2010399676","https://openalex.org/W2016287239","https://openalex.org/W2026140901","https://openalex.org/W2045404766","https://openalex.org/W2076249942","https://openalex.org/W2109328551","https://openalex.org/W2111918405","https://openalex.org/W2116394790","https://openalex.org/W2127218421","https://openalex.org/W2128061541","https://openalex.org/W2140095548","https://openalex.org/W2149613906","https://openalex.org/W2152322845","https://openalex.org/W2152492868","https://openalex.org/W2160675703","https://openalex.org/W2165874743","https://openalex.org/W2319660501","https://openalex.org/W2489691424","https://openalex.org/W2520867349","https://openalex.org/W2522027325","https://openalex.org/W3147178137","https://openalex.org/W4229880569","https://openalex.org/W6605731719","https://openalex.org/W6632102171","https://openalex.org/W6678914141","https://openalex.org/W6684578312","https://openalex.org/W6996679670"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W1919101720","https://openalex.org/W4310225030","https://openalex.org/W1482912984","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3],"approach":[4,22,58,73,128],"called":[5],"\u2018structure-based":[6],"spectral":[7,30,36,89,103],"clustering\u2019":[8],"to":[9,34,82,106],"identify":[10],"clusters":[11],"in":[12,39,97,102,132],"motion":[13,133],"time":[14],"series":[15],"for":[16,29,88,129],"sequential":[17],"pattern":[18,130],"discovery.":[19],"The":[20],"proposed":[21,57,72,127],"deploys":[23],"a":[24,64],"\u2018statistical":[25],"feature-based":[26],"distance":[27],"computation\u2019":[28],"clustering":[31,37,104],"algorithm.":[32],"Compared":[33],"traditional":[35],"approaches,":[38],"which":[40],"the":[41,47,56,60,71,84,94,99,121,126],"similarity":[42,54,80,85,100],"matrix":[43,61,86],"is":[44],"constructed":[45],"from":[46],"original":[48],"data":[49,76,118],"points":[50,77],"by":[51],"applying":[52],"some":[53],"functions,":[55],"builds":[59],"based":[62],"on":[63,115],"finite":[65],"set":[66],"of":[67,125],"feature":[68],"vectors.":[69],"When":[70],"uses":[74],"less":[75],"and":[78,123],"simpler":[79],"function":[81],"computing":[83],"input":[87],"clustering,":[90],"it":[91],"can":[92],"improve":[93],"computational":[95],"efficiency":[96],"constructing":[98],"graph":[101],"compared":[105],"conventional":[107],"approach.":[108],"Promising":[109],"experimental":[110],"results":[111],"with":[112],"high":[113],"accuracy":[114],"real":[116],"world":[117],"sets":[119],"demonstrate":[120],"capability":[122],"effectiveness":[124],"discovery":[131],"video":[134],"sequences.":[135]},"counts_by_year":[{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
