{"id":"https://openalex.org/W2748031882","doi":"https://doi.org/10.1145/3095713.3095720","title":"Visualizing weakly-Annotated Multi-label Mayan Inscriptions with Supervised t-SNE","display_name":"Visualizing weakly-Annotated Multi-label Mayan Inscriptions with Supervised t-SNE","publication_year":2017,"publication_date":"2017-06-19","ids":{"openalex":"https://openalex.org/W2748031882","doi":"https://doi.org/10.1145/3095713.3095720","mag":"2748031882"},"language":"en","primary_location":{"id":"doi:10.1145/3095713.3095720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3095713.3095720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing","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/A5069505449","display_name":"Edgar Rom\u00e1n-Rangel","orcid":"https://orcid.org/0000-0002-0590-1698"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Edgar Roman-Rangel","raw_affiliation_strings":["Viper group - University of Geneva, Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"Viper group - University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061688822","display_name":"St\u00e9phane Marchand\u2010Maillet","orcid":"https://orcid.org/0000-0002-4875-6101"},"institutions":[{"id":"https://openalex.org/I114457229","display_name":"University of Geneva","ror":"https://ror.org/01swzsf04","country_code":"CH","type":"education","lineage":["https://openalex.org/I114457229"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Stephane Marchand-Maillet","raw_affiliation_strings":["Viper group - University of Geneva, Geneva, Switzerland"],"affiliations":[{"raw_affiliation_string":"Viper group - University of Geneva, Geneva, Switzerland","institution_ids":["https://openalex.org/I114457229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069505449"],"corresponding_institution_ids":["https://openalex.org/I114457229"],"apc_list":null,"apc_paid":null,"fwci":0.0923,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46778727,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9984999895095825,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9984999895095825,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9983000159263611,"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":0.8318016529083252},{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.7707343697547913},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6260337233543396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5904199481010437},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5843225717544556},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5611445903778076},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5017759799957275},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49134793877601624},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4506164789199829},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44105929136276245},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3972383141517639},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3663995563983917}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8318016529083252},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.7707343697547913},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6260337233543396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5904199481010437},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5843225717544556},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5611445903778076},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5017759799957275},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49134793877601624},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4506164789199829},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44105929136276245},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3972383141517639},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3663995563983917},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3095713.3095720","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3095713.3095720","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing","raw_type":"proceedings-article"},{"id":"pmh:oai:unige.ch:aou:unige:103202","is_oa":false,"landing_page_url":"https://archive-ouverte.unige.ch/unige:103202","pdf_url":null,"source":{"id":"https://openalex.org/S4306402259","display_name":"Archive ouverte UNIGE (University of Geneva)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114457229","host_organization_name":"University of Geneva","host_organization_lineage":["https://openalex.org/I114457229"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI '17),  (2017) p. 6","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1529160966","https://openalex.org/W1686810756","https://openalex.org/W1878030317","https://openalex.org/W2020984122","https://openalex.org/W2053186076","https://openalex.org/W2062118960","https://openalex.org/W2102478372","https://openalex.org/W2111736068","https://openalex.org/W2137570937","https://openalex.org/W2143797877","https://openalex.org/W2156935079","https://openalex.org/W2163605009","https://openalex.org/W2187089797","https://openalex.org/W2332059045","https://openalex.org/W2496323672","https://openalex.org/W2801822997","https://openalex.org/W2914304175","https://openalex.org/W3099514962","https://openalex.org/W4213090421"],"related_works":["https://openalex.org/W2350092425","https://openalex.org/W1995622179","https://openalex.org/W4391160746","https://openalex.org/W1484111231","https://openalex.org/W1909208367","https://openalex.org/W1552543208","https://openalex.org/W2994280181","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125"],"abstract_inverted_index":{"We":[0,54,110],"present":[1],"a":[2,13,84,92],"supervised":[3],"dimensionality":[4],"reduction":[5],"technique":[6],"suitable":[7],"for":[8,50,95],"visualizing":[9],"multi-label":[10],"images":[11],"on":[12],"2-D":[14,60,85],"space.":[15],"This":[16],"method":[17],"extends":[18],"the":[19,22,30,36,88,112],"use":[20],"of":[21,32,38,62,68,90,114,135],"well-known":[23],"t-distributed":[24],"stochastic":[25],"embedding":[26],"(t-SNE)":[27],"algorithm":[28],"to":[29,58,79],"case":[31],"multi-labels":[33],"instances,":[34],"where":[35,99],"concept":[37],"partial":[39],"relevance":[40],"plays":[41],"an":[42],"important":[43],"role.":[44],"Furthermore,":[45],"it":[46],"is":[47],"applicable":[48],"straightaway":[49],"weakly":[51],"annotated":[52],"data.":[53],"apply":[55],"our":[56,115],"approach":[57,116,129],"generate":[59],"representations":[61,76],"Mayan":[63],"glyph-blocks,":[64],"which":[65],"are":[66,77,102],"groups":[67],"individual":[69],"glyph-signs":[70],"expressing":[71],"full":[72],"sentences.":[73],"The":[74],"resulting":[75],"used":[78],"place":[80],"visual":[81,108],"instances":[82,101],"in":[83,105,133],"space":[86],"with":[87],"purpose":[89],"providing":[91],"browsable":[93],"catalog":[94],"further":[96],"epigraphic":[97],"studies,":[98],"nearby":[100],"similar":[103],"both":[104,134],"semantic":[106],"and":[107,121],"terms.":[109],"evaluate":[111],"performance":[113,132],"quantitatively":[117],"by":[118],"performing":[119],"classification":[120],"retrieval":[122],"experiments.":[123],"Our":[124],"results":[125],"show":[126],"that":[127],"this":[128],"obtains":[130],"high":[131],"these":[136],"tasks.":[137]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
