{"id":"https://openalex.org/W2147689624","doi":"https://doi.org/10.1109/iccv.2007.4409049","title":"Discriminative Subsequence Mining for Action Classification","display_name":"Discriminative Subsequence Mining for Action Classification","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2147689624","doi":"https://doi.org/10.1109/iccv.2007.4409049","mag":"2147689624"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4409049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","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/A5000291599","display_name":"Sebastian Nowozin","orcid":"https://orcid.org/0000-0003-0347-0852"},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sebastian Nowozin","raw_affiliation_strings":["Max-Planck Institute of Biological Cybernetics, Tubingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Biological Cybernetics, Tubingen, Germany","institution_ids":["https://openalex.org/I4210112925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108503217","display_name":"G\u00f6khan Bak\u0131r","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Gokhan Bakir","raw_affiliation_strings":["Google GmbH, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Google GmbH, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070597006","display_name":"Koji Tsuda","orcid":"https://orcid.org/0000-0002-4288-1606"},"institutions":[{"id":"https://openalex.org/I4210112925","display_name":"Max Planck Institute for Biological Cybernetics","ror":"https://ror.org/026nmvv73","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210112925"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Koji Tsuda","raw_affiliation_strings":["Max-Planck Institute of Biological Cybernetics, Tubingen, Germany"],"affiliations":[{"raw_affiliation_string":"Max-Planck Institute of Biological Cybernetics, Tubingen, Germany","institution_ids":["https://openalex.org/I4210112925"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000291599"],"corresponding_institution_ids":["https://openalex.org/I4210112925"],"apc_list":null,"apc_paid":null,"fwci":21.3719,"has_fulltext":false,"cited_by_count":176,"citation_normalized_percentile":{"value":0.99556003,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9997000098228455,"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/T11439","display_name":"Video Analysis and Summarization","score":0.998199999332428,"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":0.9864000082015991,"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/discriminative-model","display_name":"Discriminative model","score":0.9198896884918213},{"id":"https://openalex.org/keywords/subsequence","display_name":"Subsequence","score":0.7363405823707581},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7319112420082092},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7132976055145264},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6579587459564209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6222372055053711},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5623142719268799},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.47562459111213684},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4546405076980591},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38850700855255127},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26278918981552124}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9198896884918213},{"id":"https://openalex.org/C137877099","wikidata":"https://www.wikidata.org/wiki/Q1332977","display_name":"Subsequence","level":3,"score":0.7363405823707581},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7319112420082092},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7132976055145264},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6579587459564209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6222372055053711},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5623142719268799},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.47562459111213684},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4546405076980591},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38850700855255127},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26278918981552124},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/iccv.2007.4409049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4409049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.109.5751","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://eprints.pascal-network.org/archive/00003106/01/nowozin2007iccv.pdf","raw_type":"text"},{"id":"pmh:oai:edoc.mpg.de:352339","is_oa":false,"landing_page_url":"http://edoc.mpg.de/352339","pdf_url":null,"source":{"id":"https://openalex.org/S4406922265","display_name":"Max Planck Institute for Plasma Physics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 11th IEEE International Conference on Computer Vision (ICCV 2007), 1919-1923 (2007)","raw_type":"Conference-Paper"},{"id":"pmh:oai:pure.mpg.de:item_1790208","is_oa":false,"landing_page_url":"http://hdl.handle.net/11858/00-001M-0000-0013-CB91-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2007 IEEE 11th International Conference on Computer Vision","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1488724635","https://openalex.org/W1578080815","https://openalex.org/W2013076218","https://openalex.org/W2013247637","https://openalex.org/W2020163092","https://openalex.org/W2034328688","https://openalex.org/W2068576236","https://openalex.org/W2099258729","https://openalex.org/W2101302040","https://openalex.org/W2116502739","https://openalex.org/W2134988438","https://openalex.org/W2138232383","https://openalex.org/W2146934839","https://openalex.org/W2149613906","https://openalex.org/W2157200118","https://openalex.org/W2157239837","https://openalex.org/W2158169396","https://openalex.org/W2161612652","https://openalex.org/W2165715280","https://openalex.org/W2168196587","https://openalex.org/W2186094539","https://openalex.org/W2533739470","https://openalex.org/W3141200356","https://openalex.org/W4249279051","https://openalex.org/W6675319365","https://openalex.org/W6680050993","https://openalex.org/W6681683529","https://openalex.org/W6683380652","https://openalex.org/W6683492740","https://openalex.org/W6686583229"],"related_works":["https://openalex.org/W156213964","https://openalex.org/W2050960118","https://openalex.org/W2898108274","https://openalex.org/W2055840562","https://openalex.org/W2028016548","https://openalex.org/W8815205","https://openalex.org/W1597543867","https://openalex.org/W3023727762","https://openalex.org/W1987766119","https://openalex.org/W1502255606"],"abstract_inverted_index":{"Recent":[0],"approaches":[1,21],"to":[2,66,76,92,106],"action":[3,42,153],"classification":[4,110,154],"in":[5,116,163],"videos":[6],"have":[7],"used":[8],"sparse":[9],"spatio-temporal":[10],"words":[11],"encoding":[12],"local":[13],"appearance":[14],"around":[15],"interesting":[16],"movements.":[17],"Most":[18],"of":[19,49,60,119,132,141],"these":[20],"use":[22,77],"a":[23,78,109,129,142],"histogram":[24],"representation,":[25],"discarding":[26],"the":[27,41,46,56,69,101,117,139,151,159,164],"temporal":[28,58,84],"order":[29,59],"among":[30],"features.":[31],"But":[32],"this":[33,72,83,104],"ordering":[34],"information":[35,39],"can":[36],"contain":[37],"important":[38,65],"about":[40],"itself":[43],"e.g.":[44],"consider":[45],"sport":[47],"disciplines":[48],"hurdle":[50],"race":[51],"and":[52,112,157],"long":[53],"jump,":[54],"where":[55],"global":[57],"motions":[61],"(running,":[62],"jumping)":[63],"is":[64,148],"discriminate":[67],"between":[68],"two.":[70],"In":[71,98],"work":[73],"we":[74,87],"propose":[75],"sequential":[79],"representation":[80],"which":[81],"retains":[82],"order.":[85],"Further,":[86],"introduce":[88],"Discriminative":[89],"Subsequence":[90],"Mining":[91],"find":[93],"optimal":[94],"discriminative":[95,144],"subsequence":[96],"patterns.":[97],"combination":[99],"with":[100],"LPBoost":[102],"classifier,":[103],"amounts":[105],"simultaneously":[107],"learning":[108],"function":[111],"performing":[113],"feature":[114,122],"selection":[115],"space":[118],"all":[120],"possible":[121],"sequences.":[123],"The":[124,146],"resulting":[125],"classifier":[126,147],"linearly":[127],"combines":[128],"small":[130],"number":[131],"interpretable":[133],"decision":[134],"functions,":[135],"each":[136],"checking":[137],"for":[138],"presence":[140],"single":[143],"pattern.":[145],"benchmarked":[149],"on":[150],"KTH":[152],"data":[155],"set":[156],"outperforms":[158],"best":[160],"known":[161],"results":[162],"literature.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":27},{"year":2012,"cited_by_count":18}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}