{"id":"https://openalex.org/W3095187902","doi":"https://doi.org/10.2312/vmv.20201190","title":"Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections","display_name":"Interactive Generation of 1D Embeddings from 2D Multi-dimensional Data Projections","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3095187902","doi":"https://doi.org/10.2312/vmv.20201190","mag":"3095187902"},"language":"en","primary_location":{"id":"doi:10.2312/vmv.20201190","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20201190","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.2312/vmv.20201190","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036890265","display_name":"Quynh Quang Ngo","orcid":"https://orcid.org/0000-0001-5254-1480"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Ngo, Quynh Quang","raw_affiliation_strings":["University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027852213","display_name":"Lars Linsen","orcid":"https://orcid.org/0000-0002-6168-8748"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Linsen, Lars","raw_affiliation_strings":["University of M\u00fcnster, M\u00fcnster, Germany"],"affiliations":[{"raw_affiliation_string":"University of M\u00fcnster, M\u00fcnster, Germany","institution_ids":["https://openalex.org/I22465464"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036890265"],"corresponding_institution_ids":["https://openalex.org/I22465464"],"apc_list":null,"apc_paid":null,"fwci":0.1273,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4989791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"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/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.7508999705314636,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12698","display_name":"3D Modeling in Geospatial Applications","score":0.7508999705314636,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T12290","display_name":"Human Motion and Animation","score":0.7286999821662903,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10799","display_name":"Data Visualization and Analytics","score":0.7024999856948853,"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/computer-science","display_name":"Computer science","score":0.6272386312484741},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.4216720461845398},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3226391673088074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6272386312484741},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.4216720461845398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3226391673088074}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/vmv.20201190","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20201190","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.2312/vmv.20201190","is_oa":true,"landing_page_url":"https://doi.org/10.2312/vmv.20201190","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","issn_l":null,"issn":[],"is_oa":false,"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1514018143","https://openalex.org/W2783816150","https://openalex.org/W2170045285","https://openalex.org/W2034694694","https://openalex.org/W1991336162","https://openalex.org/W2965370967","https://openalex.org/W2340240613","https://openalex.org/W2409656059","https://openalex.org/W2334077517","https://openalex.org/W2363779108","https://openalex.org/W2563783079","https://openalex.org/W1978373462","https://openalex.org/W3026289012","https://openalex.org/W3205038521","https://openalex.org/W1509050158","https://openalex.org/W2044913578","https://openalex.org/W1506747234","https://openalex.org/W2794837988","https://openalex.org/W2416240033","https://openalex.org/W1521792029"],"abstract_inverted_index":{"Visual":[0],"analysis":[1,129],"of":[2,20,26,31,78,96,113,135],"multi-dimensional":[3,21,79,163],"data":[4,11,80],"is":[5],"commonly":[6],"supported":[7],"by":[8,70],"mapping":[9],"the":[10,29,37,45,68,72,94,98,105,133,155],"to":[12,66,74,100,104,161],"a":[13,18,41,56,82,88,101,146],"2D":[14,42,50,89,99,117,143],"embedding.":[15],"When":[16],"analyzing":[17],"sequence":[19,39],"data,":[22,28],"e.g.,":[23],"in":[24,40,48,81],"case":[25],"temporal":[27],"usage":[30],"1D":[32,52,76,102,114,141,156],"embeddings":[33,53,77,115,144],"allows":[34],"for":[35,60,149],"plotting":[36],"entire":[38],"layout.":[43],"Despite":[44],"good":[46],"performance":[47,134],"generating":[49],"embeddings,":[51],"often":[54],"exhibit":[55],"much":[57],"lower":[58],"quality":[59],"pattern":[61],"recognition":[62],"tasks.":[63],"We":[64,85,107,131,153],"propose":[65],"overcome":[67],"issue":[69],"involving":[71,145],"user":[73,147],"generate":[75,87],"two-step":[83],"procedure:":[84],"first":[86],"embedding":[90,103],"and":[91,125,142],"then":[92],"leave":[93],"task":[95],"reducing":[97],"user.":[106],"demonstrate":[108],"that":[109],"an":[110,128],"interactive":[111,151],"generation":[112],"from":[116],"projected":[118],"views":[119],"can":[120],"be":[121],"performed":[122],"efficiently,":[123],"effectively,":[124],"targeted":[126],"towards":[127],"task.":[130],"compare":[132],"our":[136,150],"approach":[137],"against":[138],"automatically":[139],"generated":[140],"study":[148],"approach.":[152],"test":[154],"approaches":[157],"when":[158],"being":[159],"applied":[160],"time-varying":[162],"data.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
