{"id":"https://openalex.org/W2103568936","doi":"https://doi.org/10.1163/156855306778522514","title":"Information-theoretic framework for unsupervised activity classification","display_name":"Information-theoretic framework for unsupervised activity classification","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2103568936","doi":"https://doi.org/10.1163/156855306778522514","mag":"2103568936"},"language":"en","primary_location":{"id":"doi:10.1163/156855306778522514","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855306778522514","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/97750","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091887839","display_name":"Fr\u00e9d\u00e9\u0301ric Kaplan","orcid":"https://orcid.org/0000-0002-6991-5730"},"institutions":[{"id":"https://openalex.org/I1304132090","display_name":"Sony (Taiwan)","ror":"https://ror.org/0214y7014","country_code":"TW","type":"company","lineage":["https://openalex.org/I1304132090","https://openalex.org/I4210143797"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Kaplan","raw_affiliation_strings":["Sony Corporation,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sony Corporation,#TAB#","institution_ids":["https://openalex.org/I1304132090"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025141452","display_name":"Verena V. Hafner","orcid":"https://orcid.org/0000-0002-9125-8466"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Verena V. Hafner","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8489,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87436707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"20","issue":"10","first_page":"1087","last_page":"1103"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9836000204086304,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9836000204086304,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9635999798774719,"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/closeness","display_name":"Closeness","score":0.7195048928260803},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5711243152618408},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.5696576833724976},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5551872253417969},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5542395710945129},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.5312433242797852},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5063287019729614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4762454330921173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47142142057418823},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45539987087249756},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4232403635978699},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4108361601829529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3435744047164917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28372111916542053},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12525972723960876}],"concepts":[{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7195048928260803},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5711243152618408},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.5696576833724976},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5551872253417969},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5542395710945129},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.5312433242797852},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5063287019729614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4762454330921173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47142142057418823},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45539987087249756},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4232403635978699},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4108361601829529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3435744047164917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28372111916542053},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12525972723960876},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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":2,"locations":[{"id":"doi:10.1163/156855306778522514","is_oa":false,"landing_page_url":"https://doi.org/10.1163/156855306778522514","pdf_url":null,"source":{"id":"https://openalex.org/S192584203","display_name":"Advanced Robotics","issn_l":"0169-1864","issn":["0169-1864","1568-5535"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advanced Robotics","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:97750","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/97750","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:97750","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/97750","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2751752","https://openalex.org/W256776660","https://openalex.org/W632224533","https://openalex.org/W1489682079","https://openalex.org/W1536929369","https://openalex.org/W1546395714","https://openalex.org/W1547838079","https://openalex.org/W1562462135","https://openalex.org/W1573082642","https://openalex.org/W1580059705","https://openalex.org/W1594730842","https://openalex.org/W1596437901","https://openalex.org/W1709301467","https://openalex.org/W1937083578","https://openalex.org/W1968060331","https://openalex.org/W2000900121","https://openalex.org/W2013896409","https://openalex.org/W2020081465","https://openalex.org/W2033276871","https://openalex.org/W2041782669","https://openalex.org/W2041905826","https://openalex.org/W2053000838","https://openalex.org/W2060052814","https://openalex.org/W2082239877","https://openalex.org/W2097973429","https://openalex.org/W2099111195","https://openalex.org/W2104814127","https://openalex.org/W2109910161","https://openalex.org/W2123838014","https://openalex.org/W2130091284","https://openalex.org/W2132504164","https://openalex.org/W2143258943","https://openalex.org/W2164220333","https://openalex.org/W2172405120","https://openalex.org/W2175268987","https://openalex.org/W2222445509","https://openalex.org/W2295492805","https://openalex.org/W2335559472","https://openalex.org/W2911654305","https://openalex.org/W2966207845","https://openalex.org/W4231832368","https://openalex.org/W4245176872","https://openalex.org/W4248533174","https://openalex.org/W4285719527","https://openalex.org/W4300906944"],"related_works":["https://openalex.org/W3124771927","https://openalex.org/W4225940264","https://openalex.org/W2750125254","https://openalex.org/W2057609120","https://openalex.org/W2889544313","https://openalex.org/W2111510771","https://openalex.org/W986037092","https://openalex.org/W2392704982","https://openalex.org/W4313429060","https://openalex.org/W2151804025"],"abstract_inverted_index":{"This":[0,66],"article":[1],"presents":[2],"a":[3,24,34,53,59],"mathematical":[4],"framework":[5,92],"based":[6],"on":[7],"information":[8,29,39],"theory":[9],"to":[10,16,96],"compare":[11],"multivariate":[12],"sensory":[13],"streams.":[14],"Central":[15],"this":[17,91],"approach":[18],"is":[19],"the":[20],"notion":[21],"of":[22,26,44,64,83],"configuration:":[23],"set":[25],"distances":[27,40],"between":[28],"sources,":[30],"statistically":[31],"evaluated":[32],"for":[33,61,69],"given":[35],"time":[36],"span.":[37],"As":[38],"capture":[41],"simultaneously":[42],"effects":[43],"physical":[45],"closeness,":[46],"intermodality,":[47],"functional":[48],"relationship":[49],"and":[50],"external":[51],"couplings,":[52],"configuration":[54],"can":[55,93],"be":[56,94],"interpreted":[57],"as":[58,76],"signature":[60],"specific":[62],"patterns":[63],"activity.":[65],"provides":[67],"ways":[68],"comparing":[70],"activity":[71,80,99],"sequences":[72],"by":[73],"viewing":[74],"them":[75],"points":[77],"in":[78],"an":[79,86],"space.":[81],"Results":[82],"experiments":[84],"with":[85],"autonomous":[87],"robot":[88],"illustrate":[89],"how":[90],"used":[95],"perform":[97],"unsupervised":[98],"classification.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}