{"id":"https://openalex.org/W2160978457","doi":"https://doi.org/10.1109/iccv.2007.4408894","title":"Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees","display_name":"Structure from Statistics - Unsupervised Activity Analysis using Suffix Trees","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2160978457","doi":"https://doi.org/10.1109/iccv.2007.4408894","mag":"2160978457"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2007.4408894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408894","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/A5012139103","display_name":"Roszilah Hamid","orcid":"https://orcid.org/0000-0002-4617-970X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raffay Hamid","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109188002","display_name":"Siddhartha Maddi","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddhartha Maddi","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014205993","display_name":"Aaron Bobick","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Bobick","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070348998","display_name":"Irfan Essa","orcid":"https://orcid.org/0000-0002-6236-2969"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Irfan Essa","raw_affiliation_strings":["College of Computing, Georgia Institute of Technology, USA"],"affiliations":[{"raw_affiliation_string":"College of Computing, Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012139103"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":2.3014,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.89562524,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9998999834060669,"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":0.9927999973297119,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9907000064849854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/suffix","display_name":"Suffix","score":0.7426585555076599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6898736953735352},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6491849422454834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5920121073722839},{"id":"https://openalex.org/keywords/suffix-tree","display_name":"Suffix tree","score":0.5462101101875305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46413347125053406},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.460734099149704},{"id":"https://openalex.org/keywords/generalized-suffix-tree","display_name":"Generalized suffix tree","score":0.44984835386276245},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4224371612071991},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36077338457107544},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35348355770111084}],"concepts":[{"id":"https://openalex.org/C2779804580","wikidata":"https://www.wikidata.org/wiki/Q102047","display_name":"Suffix","level":2,"score":0.7426585555076599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6898736953735352},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6491849422454834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5920121073722839},{"id":"https://openalex.org/C2781166958","wikidata":"https://www.wikidata.org/wiki/Q1426863","display_name":"Suffix tree","level":3,"score":0.5462101101875305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46413347125053406},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.460734099149704},{"id":"https://openalex.org/C118146561","wikidata":"https://www.wikidata.org/wiki/Q5532514","display_name":"Generalized suffix tree","level":4,"score":0.44984835386276245},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4224371612071991},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36077338457107544},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35348355770111084},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2007.4408894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2007.4408894","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:10.1.1.86.6664","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.6664","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cc.gatech.edu/~raffay/hamid_iccv_07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W192493","https://openalex.org/W938539187","https://openalex.org/W1557757161","https://openalex.org/W1571053466","https://openalex.org/W1574901103","https://openalex.org/W1985642978","https://openalex.org/W1990061958","https://openalex.org/W1999167988","https://openalex.org/W2075335577","https://openalex.org/W2076283727","https://openalex.org/W2095963120","https://openalex.org/W2101666158","https://openalex.org/W2104191409","https://openalex.org/W2105872016","https://openalex.org/W2111918405","https://openalex.org/W2117082318","https://openalex.org/W2121252285","https://openalex.org/W2122777361","https://openalex.org/W2124658620","https://openalex.org/W2132670931","https://openalex.org/W2133155978","https://openalex.org/W2134067070","https://openalex.org/W2137763598","https://openalex.org/W2141844238","https://openalex.org/W2146221819","https://openalex.org/W2147152072","https://openalex.org/W2149613906","https://openalex.org/W2153137796","https://openalex.org/W4285719527","https://openalex.org/W6633831026","https://openalex.org/W6675198320","https://openalex.org/W6676062317","https://openalex.org/W6678425932","https://openalex.org/W6679894624"],"related_works":["https://openalex.org/W96331545","https://openalex.org/W1517600056","https://openalex.org/W1575722140","https://openalex.org/W1548907175","https://openalex.org/W2160738675","https://openalex.org/W2036633468","https://openalex.org/W3022556214","https://openalex.org/W4293529780","https://openalex.org/W193772702","https://openalex.org/W2003608043"],"abstract_inverted_index":{"Models":[0],"of":[1,53,71,77,90,101,128],"activity":[2,29,47],"structure":[3,30,52],"for":[4],"unconstrained":[5],"environments":[6],"are":[7,19],"generally":[8],"not":[9],"available":[10],"a":[11,95,121],"priori.":[12],"Recent":[13],"representational":[14],"approaches":[15,74],"to":[16,27,33,49,107,124],"this":[17,39],"end":[18],"limited":[20],"by":[21,55],"their":[22,57],"computational":[23],"complexity,":[24],"and":[25,84,103],"ability":[26],"capture":[28],"only":[31],"up":[32],"some":[34,70],"fixed":[35],"temporal":[36,62],"scale.":[37],"In":[38],"work,":[40],"we":[41,93],"propose":[42,104],"Suffix":[43,67,91],"Trees":[44,68],"as":[45],"an":[46,105],"representation":[48],"efficiently":[50],"extract":[51],"activities":[54],"analyzing":[56],"constituent":[58],"event-subsequences":[59],"over":[60,116],"multiple":[61],"scales.":[63],"We":[64,112],"empirically":[65],"compare":[66],"with":[69],"the":[72,126],"previous":[73],"in":[75,110],"terms":[76],"feature":[78],"cardinality,":[79],"discriminative":[80],"prowess,":[81],"noise":[82],"sensitivity":[83],"activity-class":[85],"discovery.":[86],"Finally,":[87],"exploiting":[88],"properties":[89],"Trees,":[92],"present":[94,113],"novel":[96],"perspective":[97],"on":[98],"anomalous":[99],"subsequences":[100],"activities,":[102],"algorithm":[106],"detect":[108],"them":[109],"linear-time.":[111],"comparative":[114],"results":[115],"experimental":[117],"data,":[118],"collected":[119],"from":[120],"kitchen":[122],"environment":[123],"demonstrate":[125],"competence":[127],"our":[129],"proposed":[130],"framework.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}