{"id":"https://openalex.org/W2108217176","doi":"https://doi.org/10.1109/icpr.2002.1048255","title":"PCA in autocorrelation space","display_name":"PCA in autocorrelation space","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2108217176","doi":"https://doi.org/10.1109/icpr.2002.1048255","mag":"2108217176"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1048255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/86920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057025096","display_name":"Vlad Popovici","orcid":"https://orcid.org/0000-0002-1311-9188"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"V. Popovici","raw_affiliation_strings":["Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland","Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067782007","display_name":"Jean\u2010Philippe Thiran","orcid":"https://orcid.org/0000-0003-2938-9657"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"J.-P. Thiran","raw_affiliation_strings":["Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland","Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Signal Processing Institute, Swiss Federal Institute of Technology, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]},{"raw_affiliation_string":"Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057025096"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":2.0741,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88138308,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"132","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9979000091552734,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9979000091552734,"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/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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/T10057","display_name":"Face and Expression Recognition","score":0.9968000054359436,"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/autocorrelation","display_name":"Autocorrelation","score":0.8820385932922363},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8251195549964905},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6617557406425476},{"id":"https://openalex.org/keywords/autocorrelation-matrix","display_name":"Autocorrelation matrix","score":0.6039895415306091},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5704615116119385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5699678659439087},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.560031533241272},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5589785575866699},{"id":"https://openalex.org/keywords/autocorrelation-technique","display_name":"Autocorrelation technique","score":0.5442535877227783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46422359347343445},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4341447651386261},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4180336892604828},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36133748292922974},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36039474606513977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35395121574401855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17377528548240662}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.8820385932922363},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8251195549964905},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6617557406425476},{"id":"https://openalex.org/C4033963","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation matrix","level":3,"score":0.6039895415306091},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5704615116119385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5699678659439087},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.560031533241272},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5589785575866699},{"id":"https://openalex.org/C183223151","wikidata":"https://www.wikidata.org/wiki/Q4826228","display_name":"Autocorrelation technique","level":3,"score":0.5442535877227783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46422359347343445},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4341447651386261},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4180336892604828},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36133748292922974},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36039474606513977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35395121574401855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17377528548240662},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icpr.2002.1048255","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1048255","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.11.8802","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.8802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ltswww.epfl.ch/~thiran/publications/popovici_thiran_icpr2002.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.20.5944","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.20.5944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ltswww.epfl.ch/~vlad/papers/popovici-2002a.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.88.7318","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.88.7318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://infoscience.epfl.ch/record/86920/files/Popovici2002_119.pdf","raw_type":"text"},{"id":"pmh:oai:infoscience.epfl.ch:86920","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/86920","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:86920","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/86920","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":15,"referenced_works":["https://openalex.org/W1500848630","https://openalex.org/W1533211791","https://openalex.org/W1537662695","https://openalex.org/W1602102683","https://openalex.org/W2028931872","https://openalex.org/W2084812512","https://openalex.org/W2095976476","https://openalex.org/W2105732805","https://openalex.org/W2108146080","https://openalex.org/W2116350560","https://openalex.org/W2140095548","https://openalex.org/W2982720039","https://openalex.org/W6676014314","https://openalex.org/W6676016610","https://openalex.org/W6677088203"],"related_works":["https://openalex.org/W2048784594","https://openalex.org/W2007192445","https://openalex.org/W2181440403","https://openalex.org/W2014157823","https://openalex.org/W2052532834","https://openalex.org/W2060141217","https://openalex.org/W174653542","https://openalex.org/W2040317741","https://openalex.org/W2102596993","https://openalex.org/W2087330493"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,41,47],"higher":[3],"order":[4],"autocorrelations":[5],"as":[6],"features":[7],"for":[8,44,77],"pattern":[9,49],"classification":[10,50],"has":[11],"been":[12],"usually":[13],"restricted":[14],"to":[15,21],"second":[16],"or":[17],"third":[18],"orders":[19],"due":[20],"high":[22,31],"computational":[23],"costs.":[24],"Since":[25],"the":[26,39,45,48,86],"autocorrelation":[27,67,81],"space":[28,33],"is":[29,55],"a":[30,74],"dimensional":[32],"we":[34,72],"are":[35,95],"interested":[36],"in":[37,66,80],"reducing":[38],"dimensionality":[40],"feature":[42],"vectors":[43],"benefit":[46],"task.":[51],"An":[52],"established":[53],"technique":[54],"Principal":[56],"Component":[57],"Analysis":[58],"(PCA)":[59],"which,":[60],"however,":[61],"cannot":[62],"be":[63],"applied":[64],"directly":[65],"space.":[68],"In":[69],"this":[70],"paper":[71],"develop":[73],"new":[75],"method":[76],"performing":[78],"PCA":[79,91],"space,":[82],"without":[83],"explicitly":[84],"computing":[85],"autocorrelations.":[87],"Connections":[88],"with":[89],"nonlinear":[90],"and":[92],"possible":[93],"extensions":[94],"also":[96],"discussed.":[97]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}