{"id":"https://openalex.org/W2911261399","doi":"https://doi.org/10.2312/gch.20181346","title":"Visualizing Networks of Maya Glyphs by Clustering Subglyphs","display_name":"Visualizing Networks of Maya Glyphs by Clustering Subglyphs","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2911261399","doi":"https://doi.org/10.2312/gch.20181346","mag":"2911261399"},"language":"en","primary_location":{"id":"doi:10.2312/gch.20181346","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20181346","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/gch.20181346","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055359934","display_name":"Bartosz Bogacz","orcid":"https://orcid.org/0000-0002-8323-5694"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bogacz, Bartosz","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053903438","display_name":"Felix Feldmann","orcid":"https://orcid.org/0000-0001-9274-6958"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feldmann, Felix","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041081366","display_name":"Christian M. Prager","orcid":"https://orcid.org/0000-0002-7208-9417"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Prager, Christian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5040363499","display_name":"Hubert Mara","orcid":"https://orcid.org/0000-0002-2004-4153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mara, Hubert","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055359934"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4324,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8007571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"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/T10087","display_name":"Archaeology and ancient environmental studies","score":0.9053000211715698,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10087","display_name":"Archaeology and ancient environmental studies","score":0.9053000211715698,"subfield":{"id":"https://openalex.org/subfields/1911","display_name":"Paleontology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/maya","display_name":"Maya","score":0.8541698455810547},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5949788093566895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5339179635047913},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46790727972984314},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2876197099685669},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.22528678178787231}],"concepts":[{"id":"https://openalex.org/C179335157","wikidata":"https://www.wikidata.org/wiki/Q223890","display_name":"Maya","level":2,"score":0.8541698455810547},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5949788093566895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5339179635047913},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46790727972984314},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2876197099685669},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.22528678178787231}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2312/gch.20181346","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20181346","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/gch.20181346","is_oa":true,"landing_page_url":"https://doi.org/10.2312/gch.20181346","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2960741261","https://openalex.org/W3203894705","https://openalex.org/W3016464890","https://openalex.org/W2906394293","https://openalex.org/W2379776810","https://openalex.org/W2947830256","https://openalex.org/W2382809001","https://openalex.org/W1651078110","https://openalex.org/W1893118838","https://openalex.org/W2996669158","https://openalex.org/W2105280409","https://openalex.org/W2150720718","https://openalex.org/W2886118084","https://openalex.org/W2147468287","https://openalex.org/W2964005892","https://openalex.org/W2015131979","https://openalex.org/W2018252290","https://openalex.org/W2126415191","https://openalex.org/W2049652219","https://openalex.org/W3100134033"],"abstract_inverted_index":{"Deciphering":[0],"the":[1,13,18,44,52,65,169,175,187,191],"Maya":[2,21,33,55,104,150],"writing":[3,34,56],"is":[4,124,183,222],"an":[5,99],"ongoing":[6],"process":[7],"that":[8,82],"has":[9,58],"already":[10],"started":[11],"in":[12,37,64,76],"early":[14],"19th":[15],"century.":[16],"Among":[17],"reasons":[19],"why":[20],"hieroglyphic":[22],"script":[23],"and":[24,78,106,109,143,166,181,224,241],"language":[25],"are":[26,29,152,172,198,237],"still":[27],"undeciphered":[28],"inexpertly-created":[30],"drawings":[31],"of":[32,41,46,54,67,74,164,190,207,219,234],"systems":[35,57],"resulting":[36],"a":[38,50,71,118,137,147,162,205,213,227,247],"large":[39],"number":[40],"misinterpretations":[42],"concerning":[43],"contents":[45],"these":[47],"glyphs.":[48],"As":[49],"consequence,":[51],"decipherment":[53],"experienced":[59],"several":[60],"setbacks.":[61],"Modern":[62],"research":[63],"domain":[66],"cultural":[68],"heritage":[69],"requires":[70],"maximum":[72],"amount":[73],"precision":[75],"capturing":[77],"analyzing":[79],"artifacts":[80],"so":[81],"scholars":[83],"can":[84],"work":[85,97],"on":[86,117,126,186,217],"-":[87,89],"preferably":[88],"unmodified":[90],"data":[91],"as":[92,94,146],"much":[93],"possible.":[95],"This":[96],"presents":[98],"approach":[100],"to":[101,160,239],"visualize":[102,242],"similar":[103],"glyphs":[105,115,151,170,245],"parts":[107,236],"thereof":[108],"enable":[110],"discovering":[111],"novel":[112],"connections":[113,243],"between":[114,244],"based":[116,185,216],"machine":[119],"learning":[120],"pipeline.":[121],"The":[122,195,231],"algorithm":[123],"demonstrated":[125],"3D":[127,193],"scans":[128],"from":[129,154],"sculptured":[130],"monuments,":[131],"which":[132],"have":[133],"been":[134],"filtered":[135],"using":[136,157,174,246],"Multiscale":[138],"Integral":[139],"Invariant":[140],"Filter":[141],"(MSII)":[142],"then":[144],"projected":[145],"2D":[148,155],"image.":[149],"segmented":[153,173],"images":[156],"projection":[158],"profiles":[159],"generate":[161],"grid":[163],"columns":[165],"rows.":[167],"Then,":[168],"themselves":[171],"random":[176],"walker":[177],"approach,":[178],"where":[179],"background":[180],"foreground":[182],"separated":[184],"surface":[188],"curvature":[189],"original":[192],"surface.":[194],"retrieved":[196],"subglyphs":[197],"first":[199],"clustered":[200],"by":[201],"their":[202],"sizes":[203],"into":[204],"set":[206],"common":[208],"sizes.":[209],"For":[210],"each":[211],"glyph":[212,235],"feature":[214],"vector":[215],"Histogram":[218],"Gradients":[220],"(HOG)":[221],"computed":[223],"used":[225,238],"for":[226],"subsequent":[228],"hierarchical":[229],"clustering.":[230],"resultant":[232],"clusters":[233],"discover":[240],"force":[248],"directed":[249],"network":[250],"layout.":[251]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
