{"id":"https://openalex.org/W2127483105","doi":"https://doi.org/10.1109/iros.2004.1389820","title":"Classification of robotic sensor streams using non-parametric statistics","display_name":"Classification of robotic sensor streams using non-parametric statistics","publication_year":2005,"publication_date":"2005-04-01","ids":{"openalex":"https://openalex.org/W2127483105","doi":"https://doi.org/10.1109/iros.2004.1389820","mag":"2127483105"},"language":"en","primary_location":{"id":"doi:10.1109/iros.2004.1389820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","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/A5001688836","display_name":"Scott Lenser","orcid":null},"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":"S. Lenser","raw_affiliation_strings":["Computer Science Department, Carnegie Mellon University, Pittsburgh, USA","Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088276691","display_name":"Manuela Veloso","orcid":"https://orcid.org/0000-0001-6738-238X"},"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":"M. Veloso","raw_affiliation_strings":["Computer Science Department, Carnegie Mellon University, Pittsburgh, USA","Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Carnegie-Mellon Univ., Pittsburgh, PA, USA#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5001688836"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.297,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8118662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2719","last_page":"2724"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9983000159263611,"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":0.9983000159263611,"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9822999835014343,"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/series","display_name":"Series (stratigraphy)","score":0.7189123034477234},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.670849621295929},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6532384157180786},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6018022298812866},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5818637609481812},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.570534884929657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5617316365242004},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.521900475025177},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5150253772735596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4611099064350128},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.44602033495903015},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.41700369119644165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40005701780319214},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28931427001953125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26080918312072754},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22439619898796082}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7189123034477234},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.670849621295929},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6532384157180786},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6018022298812866},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5818637609481812},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.570534884929657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5617316365242004},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.521900475025177},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5150253772735596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4611099064350128},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.44602033495903015},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.41700369119644165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40005701780319214},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28931427001953125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26080918312072754},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22439619898796082},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iros.2004.1389820","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iros.2004.1389820","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1.9726","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1.9726","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-2.cs.cmu.edu/~mmv/papers/04iros-scott.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2042574171","https://openalex.org/W2044535354","https://openalex.org/W2065948080","https://openalex.org/W2081827563","https://openalex.org/W2102716594","https://openalex.org/W2118506357","https://openalex.org/W2146877334","https://openalex.org/W2157124238","https://openalex.org/W2325067522","https://openalex.org/W6677936457"],"related_works":["https://openalex.org/W2004357175","https://openalex.org/W2064502186","https://openalex.org/W1990192565","https://openalex.org/W2392320810","https://openalex.org/W2078609410","https://openalex.org/W2011422850","https://openalex.org/W2387724274","https://openalex.org/W282683215","https://openalex.org/W2084267543","https://openalex.org/W3174521120"],"abstract_inverted_index":{"We":[0,101],"extend":[1],"our":[2,107],"previous":[3,108],"work":[4],"on":[5,29],"a":[6,43,57,77],"classification":[7],"algorithm":[8,22,41,73,116],"for":[9,34,53,117],"time":[10,13,25,31,58],"series.":[11],"Given":[12],"series":[14,26,32,59],"produced":[15],"by":[16],"different":[17,120],"underlying":[18,62],"generating":[19],"processes,":[20],"the":[21,51,61,104,112,115,123],"predicts":[23,42],"future":[24,46],"values":[27,33],"based":[28],"past":[30],"each":[35],"generator.":[36],"Unlike":[37],"many":[38],"algorithms,":[39],"this":[40],"distribution":[44],"over":[45],"values.":[47],"This":[48],"prediction":[49],"forms":[50],"basis":[52],"labelling":[54],"part":[55],"of":[56,80,83,106,114,122],"with":[60],"generator":[63],"that":[64],"created":[65],"it":[66],"given":[67],"some":[68],"labelled":[69],"exam":[70],"piles.":[71],"The":[72],"is":[74],"robust":[75],"to":[76],"wide":[78],"variety":[79],"possible":[81],"types":[82],"changes":[84,97],"in":[85,98],"signals":[86],"including":[87],"mean":[88],"shifts,":[89],"amplitude":[90],"changes,":[91,93,95],"noise":[92],"period":[94],"and":[96,110],"signal":[99],"shape.":[100],"improve":[102],"upon":[103],"speed":[105],"approach":[109],"show":[111],"utility":[113],"discriminating":[118],"between":[119],"states":[121],"robot/environment":[124],"from":[125],"robotic":[126],"sensor":[127],"signals.":[128]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}