{"id":"https://openalex.org/W2259857237","doi":"https://doi.org/10.1145/2905369","title":"Evaluating Shape Representations for Maya Glyph Classification","display_name":"Evaluating Shape Representations for Maya Glyph Classification","publication_year":2016,"publication_date":"2016-09-20","ids":{"openalex":"https://openalex.org/W2259857237","doi":"https://doi.org/10.1145/2905369","mag":"2259857237"},"language":"en","primary_location":{"id":"doi:10.1145/2905369","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905369","pdf_url":null,"source":{"id":"https://openalex.org/S4210184050","display_name":"Journal on Computing and Cultural Heritage","issn_l":"1556-4711","issn":["1556-4711","1556-4673"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Computing and Cultural Heritage","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/214701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045397549","display_name":"G\u00fclcan Can","orcid":"https://orcid.org/0000-0001-7185-2049"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"G\u00fclcan Can","raw_affiliation_strings":["Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053358969","display_name":"Jean\u2010Marc Odobez","orcid":"https://orcid.org/0000-0002-9537-9898"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Jean-Marc Odobez","raw_affiliation_strings":["Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012965551","display_name":"Daniel G\u00e1tica-P\u00e9rez","orcid":"https://orcid.org/0000-0001-5488-2182"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]},{"id":"https://openalex.org/I7495430","display_name":"Idiap Research Institute","ror":"https://ror.org/05932h694","country_code":"CH","type":"facility","lineage":["https://openalex.org/I7495430"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Daniel Gatica-Perez","raw_affiliation_strings":["Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Idiap Research Institute and \u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne (EPFL), Martigny, Switzerland","institution_ids":["https://openalex.org/I5124864","https://openalex.org/I7495430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6857,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.85801417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"9","issue":"3","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"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":0.9957000017166138,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9930999875068665,"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/glyph","display_name":"Glyph (data visualization)","score":0.7025902271270752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6987497806549072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6791146993637085},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5842593312263489},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5234426856040955},{"id":"https://openalex.org/keywords/external-data-representation","display_name":"External Data Representation","score":0.45033153891563416},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4257749617099762},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36063945293426514},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3006591796875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.25997623801231384}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.7025902271270752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6987497806549072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6791146993637085},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5842593312263489},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5234426856040955},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.45033153891563416},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4257749617099762},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36063945293426514},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3006591796875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.25997623801231384},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2905369","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2905369","pdf_url":null,"source":{"id":"https://openalex.org/S4210184050","display_name":"Journal on Computing and Cultural Heritage","issn_l":"1556-4711","issn":["1556-4711","1556-4673"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal on Computing and Cultural Heritage","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:214701","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/214701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:214701","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/214701","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7599999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W126594655","https://openalex.org/W1551774182","https://openalex.org/W1606858007","https://openalex.org/W1804900129","https://openalex.org/W1878030317","https://openalex.org/W1965555277","https://openalex.org/W1965869415","https://openalex.org/W1972420097","https://openalex.org/W1976921161","https://openalex.org/W2012210378","https://openalex.org/W2022666897","https://openalex.org/W2027922120","https://openalex.org/W2034827972","https://openalex.org/W2036054070","https://openalex.org/W2036109700","https://openalex.org/W2050990297","https://openalex.org/W2060292171","https://openalex.org/W2063728276","https://openalex.org/W2078366715","https://openalex.org/W2090042335","https://openalex.org/W2102017903","https://openalex.org/W2102409316","https://openalex.org/W2108444897","https://openalex.org/W2111736068","https://openalex.org/W2116702417","https://openalex.org/W2118858186","https://openalex.org/W2124386111","https://openalex.org/W2131846894","https://openalex.org/W2139427956","https://openalex.org/W2145406111","https://openalex.org/W2161969291","https://openalex.org/W2162915993","https://openalex.org/W2163922914","https://openalex.org/W2168345951","https://openalex.org/W2408403800","https://openalex.org/W2801822997"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W2350092425","https://openalex.org/W91638230","https://openalex.org/W2982314978","https://openalex.org/W2917844847","https://openalex.org/W2036757537","https://openalex.org/W4556600","https://openalex.org/W2096451653","https://openalex.org/W4238546310","https://openalex.org/W4282930045"],"abstract_inverted_index":{"Shape":[0,35],"representations":[1,18],"are":[2,78],"critical":[3],"for":[4,91,127,131,150],"visual":[5,132],"analysis":[6,133],"of":[7,16,33,63,75,83,86,98,112,116,134,167,172,193],"cultural":[8],"heritage":[9],"materials.":[10],"This":[11],"article":[12,77],"studies":[13],"two":[14],"types":[15],"shape":[17,92],"in":[19,144,181,203],"a":[20,30,43,69,87,95,164,176],"bag-of-words-based":[21],"pipeline":[22],"to":[23,56,108],"recognize":[24],"Maya":[25,128],"glyphs.":[26,135],"The":[27,73],"first":[28],"is":[29,42,66,158],"knowledge-driven":[31],"Histogram":[32],"Orientation":[34],"Context":[36],"(HOOSC)":[37],"representation,":[38],"and":[39,101,119,123,175,196],"the":[40,57,60,64,81,84,110,113,139,147,156,170,182,187,191,194,204],"second":[41],"data-driven":[44,88,102,140],"representation":[45,141,149,184],"obtained":[46],"by":[47],"applying":[48],"an":[49,105,200],"unsupervised":[50],"Sparse":[51],"Autoencoder":[52],"(SA).":[53],"In":[54],"addition":[55],"glyph":[58],"data,":[59],"generalization":[61],"ability":[62],"descriptors":[65],"investigated":[67],"on":[68,154],"larger-scale":[70],"sketch":[71],"dataset.":[72],"contributions":[74],"this":[76],"four-fold:":[79],"(1)":[80],"evaluation":[82],"performance":[85],"auto-encoder":[89],"approach":[90],"representation;":[93],"(2)":[94],"comparative":[96],"study":[97],"hand-designed":[99,148],"HOOSC":[100],"SA;":[103],"(3)":[104],"experimental":[106],"protocol":[107],"assess":[109],"effect":[111],"different":[114],"parameters":[115],"both":[117],"representations;":[118],"(4)":[120],"bridging":[121],"humanities":[122],"computer":[124],"vision/machine":[125],"learning":[126],"studies,":[129],"specifically":[130],"From":[136],"our":[137],"experiments,":[138],"performs":[142],"overall":[143],"par":[145],"with":[146],"similar":[151],"locality":[152],"sizes":[153],"which":[155],"descriptor":[157,188],"computed.":[159],"We":[160],"also":[161],"observe":[162],"that":[163],"larger":[165,177],"number":[166],"hidden":[168],"units,":[169],"use":[171],"average":[173],"pooling,":[174],"training":[178],"data":[179,195],"size":[180,198],"SA":[183],"all":[185],"improved":[186],"performance.":[189],"Additionally,":[190],"characteristics":[192],"stroke":[197],"play":[199],"important":[201],"role":[202],"learned":[205],"representation.":[206]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}