{"id":"https://openalex.org/W3024800590","doi":"https://doi.org/10.1109/wacv45572.2020.9093469","title":"2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets","display_name":"2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3024800590","doi":"https://doi.org/10.1109/wacv45572.2020.9093469","mag":"3024800590"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5100340834","display_name":"Xiaotong Liu","orcid":"https://orcid.org/0000-0002-3618-0168"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaotong Liu","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358750","display_name":"Zeyu Zhang","orcid":"https://orcid.org/0000-0003-2729-104X"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zeyu Zhang","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025866684","display_name":"Roxana Leontie","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roxana Leontie","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069295854","display_name":"Abby Stylianou","orcid":"https://orcid.org/0000-0002-4387-028X"},"institutions":[{"id":"https://openalex.org/I4210121589","display_name":"UCLouvain Saint-Louis Brussels","ror":"https://ror.org/02ygek028","country_code":"BE","type":"education","lineage":["https://openalex.org/I4210121589","https://openalex.org/I95674353"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Abby Stylianou","raw_affiliation_strings":["Saint Louis University"],"affiliations":[{"raw_affiliation_string":"Saint Louis University","institution_ids":["https://openalex.org/I4210121589"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051490260","display_name":"Robert Pless","orcid":"https://orcid.org/0000-0001-5775-8216"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert Pless","raw_affiliation_strings":["George Washington University"],"affiliations":[{"raw_affiliation_string":"George Washington University","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100340834"],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54997647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"29","issue":null,"first_page":"2539","last_page":"2547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9923999905586243,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9923999905586243,"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"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.951200008392334,"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"}},{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9277999997138977,"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":0.8293421268463135},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.7788482904434204},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6893572807312012},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5808861255645752},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5224665403366089},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.513638436794281},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4581756293773651},{"id":"https://openalex.org/keywords/high-dimensional","display_name":"High dimensional","score":0.44265908002853394},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4406314492225647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41183972358703613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39163678884506226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08308076858520508}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8293421268463135},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.7788482904434204},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6893572807312012},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5808861255645752},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5224665403366089},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.513638436794281},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4581756293773651},{"id":"https://openalex.org/C3019722297","wikidata":"https://www.wikidata.org/wiki/Q4440864","display_name":"High dimensional","level":2,"score":0.44265908002853394},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4406314492225647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41183972358703613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39163678884506226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08308076858520508},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093469","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093469","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2001141328","https://openalex.org/W2053186076","https://openalex.org/W2134312057","https://openalex.org/W2138011018","https://openalex.org/W2156718197","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2542768043","https://openalex.org/W2555897561","https://openalex.org/W2586761003","https://openalex.org/W2786672974","https://openalex.org/W2796897898","https://openalex.org/W2889326414","https://openalex.org/W2963629121","https://openalex.org/W2991651591","https://openalex.org/W3028131613","https://openalex.org/W4212839863","https://openalex.org/W6682755970","https://openalex.org/W6730323794","https://openalex.org/W6732510986","https://openalex.org/W6748816842","https://openalex.org/W6750267149","https://openalex.org/W6760884267","https://openalex.org/W6767795346"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"Visualization":[0],"tools":[1],"like":[2],"t-SNE":[3],"and":[4,44],"UMAP":[5,58,67],"give":[6],"insight":[7],"into":[8],"the":[9,21,42,66,84,90,93],"high-dimensional":[10,22],"structure":[11],"of":[12,24,92],"datasets.":[13],"When":[14],"there":[15],"are":[16],"related":[17],"datasets":[18],"(such":[19],"as":[20],"representations":[23],"image":[25],"data":[26],"created":[27],"by":[28,60],"two":[29],"different":[30],"Deep":[31],"Learning":[32],"architectures),":[33],"roughly":[34],"aligning":[35],"those":[36],"visualizations":[37,59],"helps":[38],"to":[39,53,65,75],"highlight":[40],"both":[41],"similarities":[43],"differences.":[45],"In":[46],"this":[47,80],"paper":[48],"we":[49],"propose":[50],"a":[51,77],"method":[52],"align":[54],"multiple":[55],"low":[56],"dimensional":[57],"adding":[61],"an":[62,72],"alignment":[63,85],"term":[64,81],"loss":[68],"function.":[69],"We":[70],"provide":[71],"automated":[73],"procedure":[74],"find":[76],"weight":[78],"for":[79],"that":[82],"encourages":[83],"but":[86],"only":[87],"minimally":[88],"changes":[89],"fidelity":[91],"underlying":[94],"embedding.":[95]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
