{"id":"https://openalex.org/W35472915","doi":null,"title":"Adaptive distance measures for sequential data","display_name":"Adaptive distance measures for sequential data","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W35472915","mag":"35472915"},"language":"en","primary_location":{"id":"pmh:oai:pub.librecat.org:2673554","doi":null,"is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2673554","pdf_url":"https://pub.uni-bielefeld.de/download/2673554/2712748","source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mokbel B, Paa\u00dfen B, Hammer B. Adaptive distance measures for sequential data. In: Verleysen M, ed. &lt;em&gt;ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning&lt;/em&gt;. Bruges, Belgium: i6doc.com; 2014: 265-270.","raw_type":"info:eu-repo/semantics/conferenceObject"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pub.uni-bielefeld.de/download/2673554/2712748","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113581981","display_name":"Bassam Mokbel","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bassam Mokbel","raw_affiliation_strings":["Bielefeld University, Bielefeld, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057832550","display_name":"Benjamin Paa\u00dfen","orcid":"https://orcid.org/0000-0002-3899-2450","observed_orcids":["https://orcid.org/0000-0002-3899-2450"]},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Paa\u00dfen","raw_affiliation_strings":["Bielefeld University, Bielefeld, Germany"],"raw_orcid":"https://orcid.org/0000-0002-3899-2450","affiliations":[{"raw_affiliation_string":"Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091180862","display_name":"Barbara Hammer","orcid":"https://orcid.org/0000-0002-0935-5591","observed_orcids":["https://orcid.org/0000-0002-0935-5591"]},"institutions":[{"id":"https://openalex.org/I20121455","display_name":"Bielefeld University","ror":"https://ror.org/02hpadn98","country_code":"DE","type":"education","lineage":["https://openalex.org/I20121455"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Barbara Hammer","raw_affiliation_strings":["Bielefeld University, Bielefeld, Germany"],"raw_orcid":"https://orcid.org/0000-0002-0935-5591","affiliations":[{"raw_affiliation_string":"Bielefeld University, Bielefeld, Germany","institution_ids":["https://openalex.org/I20121455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20121455"],"apc_list":null,"apc_paid":null,"fwci":2.0106,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.847916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.19300000369548798,"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":0.19300000369548798,"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":0.18230000138282776,"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/T13141","display_name":"Statistical Methods and Applications","score":0.08299999684095383,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/learning-vector-quantization","display_name":"learning vector quantization","score":0.9649999737739563},{"id":"https://openalex.org/keywords/metric-learning","display_name":"metric learning","score":0.9229999780654907},{"id":"https://openalex.org/keywords/distance-metrics","display_name":"distance measures","score":0.6010000109672546},{"id":"https://openalex.org/keywords/sequential-data","display_name":"sequential data","score":0.8100000023841858},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"sequence alignment","score":0.5370000004768372},{"id":"https://openalex.org/keywords/structured-objects","display_name":"structured objects","score":0.4790000021457672},{"id":"https://openalex.org/keywords/discriminative-learning","display_name":"discriminative learning","score":0.6000000238418579}],"concepts":[{"id":"https://openalex.org/C40567965","wikidata":"https://www.wikidata.org/wiki/Q1820283","display_name":"Learning vector quantization","level":3,"score":0.909672737121582},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8387330770492554},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7634361982345581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725837588310242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.657843291759491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6014376878738403},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.465558797121048},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.43086397647857666},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.41140714287757874},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4000180959701538},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33153724670410156},{"id":"https://openalex.org/C199833920","wikidata":"https://www.wikidata.org/wiki/Q612536","display_name":"Vector quantization","level":2,"score":0.24691122770309448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0795581042766571},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:pub.librecat.org:2673554","doi":null,"is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2673554","pdf_url":"https://pub.uni-bielefeld.de/download/2673554/2712748","source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mokbel B, Paa\u00dfen B, Hammer B. Adaptive distance measures for sequential data. In: Verleysen M, ed. &lt;em&gt;ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning&lt;/em&gt;. Bruges, Belgium: i6doc.com; 2014: 265-270.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.434.7765","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.434.7765","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-82.pdf","raw_type":"text"},{"id":"pmh:oai:pub.uni-bielefeld.de:2673554","doi":null,"is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2673554","pdf_url":null,"source":{"id":"https://openalex.org/S4306401624","display_name":"Publikationen an der Universit\u00e4t Bielefeld (Universit\u00e4t Bielefeld)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mokbel B, Paa\u00dfen B, Hammer B. Adaptive distance measures for sequential data. In: Verleysen M, ed. &lt;em&gt;ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning&lt;/em&gt;. Bruges, Belgium: i6doc.com; 2014: 265-270.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:35472915","doi":null,"is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/download/2673554/2712748/MokbelEtAl2014-ESANN2014-AdaptiveAlignmentGLVQ.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306421047","display_name":"The European Symposium on Artificial Neural Networks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"The European Symposium on Artificial Neural Networks","raw_type":null}],"best_oa_location":{"id":"pmh:oai:pub.librecat.org:2673554","doi":null,"is_oa":true,"landing_page_url":"https://pub.uni-bielefeld.de/record/2673554","pdf_url":"https://pub.uni-bielefeld.de/download/2673554/2712748","source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Mokbel B, Paa\u00dfen B, Hammer B. Adaptive distance measures for sequential data. In: Verleysen M, ed. &lt;em&gt;ESANN, 22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning&lt;/em&gt;. Bruges, Belgium: i6doc.com; 2014: 265-270.","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G6059805173","display_name":"Noise analysis and novel dynamic functionalities in advanced quantum cascade lasers","funder_award_id":"178864","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G8197697840","display_name":"High-resolution QCL frequency comb spectrometer for the detection of trace gases and their isotopes","funder_award_id":"176584","funder_id":"https://openalex.org/F4320320924","funder_display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung"},{"id":"https://openalex.org/G8579268546","display_name":null,"funder_award_id":"871529","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"},{"id":"https://openalex.org/F4320320924","display_name":"Schweizerischer Nationalfonds zur F\u00f6rderung der Wissenschaftlichen Forschung","ror":"https://ror.org/00yjd3n13"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W35472915.pdf","grobid_xml":"https://content.openalex.org/works/W35472915.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W1480708938","https://openalex.org/W1546997823","https://openalex.org/W1590527051","https://openalex.org/W1679913846","https://openalex.org/W1979191353","https://openalex.org/W2030107429","https://openalex.org/W2036256527","https://openalex.org/W2036265182","https://openalex.org/W2037288520","https://openalex.org/W2039434802","https://openalex.org/W2100425617","https://openalex.org/W2109993655","https://openalex.org/W2119942013"],"related_works":["https://openalex.org/W2069889599","https://openalex.org/W40946682","https://openalex.org/W7099266123","https://openalex.org/W2124067153","https://openalex.org/W2039434802","https://openalex.org/W2225620770","https://openalex.org/W1948513873","https://openalex.org/W1537368329","https://openalex.org/W2600783590","https://openalex.org/W2135343070"],"abstract_inverted_index":{"Abstract.":[0],"Recent":[1],"extensions":[2],"of":[3,49,68,80],"learning":[4,38,48],"vector":[5],"quantization":[6],"(LVQ)":[7],"to":[8,55],"general":[9],"(dis-)similarity":[10],"data":[11],"have":[12],"paved":[13],"the":[14,50,62,69,81,89],"way":[15],"towards":[16],"LVQ":[17],"classifiers":[18],"for":[19,46,88],"possibly":[20],"discrete,":[21],"structured":[22],"objects":[23],"such":[24],"as":[25],"sequences":[26],"addressed":[27],"by":[28,83],"classical":[29],"alignment.":[30],"In":[31],"this":[32,42,74],"contribution,":[33],"we":[34],"propose":[35],"a":[36,56],"metric":[37],"scheme":[39],"based":[40],"on":[41],"framework":[43],"which":[44],"allows":[45],"autonomous":[47],"underlying":[51],"scoring":[52,70],"matrix":[53,71],"according":[54],"given":[57,90],"discriminative":[58],"task.":[59,91],"Besides":[60],"facilitating":[61],"often":[63],"crucial":[64],"and":[65],"problematic":[66],"choice":[67],"in":[72],"applications,":[73],"extension":[75],"offers":[76],"an":[77],"increased":[78],"interpretability":[79],"results":[82],"pointing":[84],"out":[85],"structural":[86],"invariances":[87],"1":[92]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2}],"updated_date":"2026-09-09T07:26:56.047234","created_date":"2016-06-24T00:00:00"}
