{"id":"https://openalex.org/W2886307152","doi":"https://doi.org/10.1137/18m1203481","title":"Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics","display_name":"Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2886307152","doi":"https://doi.org/10.1137/18m1203481","mag":"2886307152"},"language":"en","primary_location":{"id":"doi:10.1137/18m1203481","is_oa":true,"landing_page_url":"https://doi.org/10.1137/18m1203481","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/18M1203481","source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://epubs.siam.org/doi/pdf/10.1137/18M1203481","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057450352","display_name":"Tingran Gao","orcid":"https://orcid.org/0000-0002-0436-689X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Tingran Gao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074707764","display_name":"Shahar Z. Kovalsky","orcid":"https://orcid.org/0000-0001-8924-5538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shahar Z. Kovalsky","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059749954","display_name":"Douglas Boyer","orcid":"https://orcid.org/0000-0002-8697-2999"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Doug M. Boyer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108565885","display_name":"Ingrid Daubechies","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ingrid Daubechies","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057450352"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6109,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.95196568,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"1","issue":"1","first_page":"237","last_page":"267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12417","display_name":"Morphological variations and asymmetry","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2608","display_name":"Geometry and Topology"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10421","display_name":"Pleistocene-Era Hominins and Archaeology","score":0.9138000011444092,"subfield":{"id":"https://openalex.org/subfields/3314","display_name":"Anthropology"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/morphometrics","display_name":"Morphometrics","score":0.8763512372970581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.632514476776123},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6299577951431274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927333831787109},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5126928091049194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48076769709587097},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.45945292711257935},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4521290957927704},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.38698944449424744},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3632850646972656},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08537089824676514}],"concepts":[{"id":"https://openalex.org/C33511622","wikidata":"https://www.wikidata.org/wiki/Q1851434","display_name":"Morphometrics","level":2,"score":0.8763512372970581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632514476776123},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6299577951431274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927333831787109},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5126928091049194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48076769709587097},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.45945292711257935},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4521290957927704},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38698944449424744},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3632850646972656},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08537089824676514},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","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},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/18m1203481","is_oa":true,"landing_page_url":"https://doi.org/10.1137/18m1203481","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/18M1203481","source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1137/18m1203481","is_oa":true,"landing_page_url":"https://doi.org/10.1137/18m1203481","pdf_url":"https://epubs.siam.org/doi/pdf/10.1137/18M1203481","source":{"id":"https://openalex.org/S4210229561","display_name":"SIAM Journal on Mathematics of Data Science","issn_l":"2577-0187","issn":["2577-0187"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Mathematics of Data Science","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G8207741004","display_name":null,"funder_award_id":"400837","funder_id":"https://openalex.org/F4320306164","funder_display_name":"Simons Foundation"},{"id":"https://openalex.org/G8344977795","display_name":null,"funder_award_id":"BCS-1552848","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306164","display_name":"Simons Foundation","ror":"https://ror.org/01cmst727"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886307152.pdf","grobid_xml":"https://content.openalex.org/works/W2886307152.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W92634156","https://openalex.org/W187016258","https://openalex.org/W1555373297","https://openalex.org/W1571578421","https://openalex.org/W1607872540","https://openalex.org/W1680189815","https://openalex.org/W1965805571","https://openalex.org/W1972597445","https://openalex.org/W1973264045","https://openalex.org/W1979290871","https://openalex.org/W1984032850","https://openalex.org/W1988825244","https://openalex.org/W1993747418","https://openalex.org/W1995980194","https://openalex.org/W2001639774","https://openalex.org/W2006302620","https://openalex.org/W2011121645","https://openalex.org/W2017128277","https://openalex.org/W2024240709","https://openalex.org/W2026043300","https://openalex.org/W2032618685","https://openalex.org/W2039055345","https://openalex.org/W2062210281","https://openalex.org/W2071093471","https://openalex.org/W2073431710","https://openalex.org/W2074551095","https://openalex.org/W2074582997","https://openalex.org/W2076159000","https://openalex.org/W2082401067","https://openalex.org/W2088265483","https://openalex.org/W2091791686","https://openalex.org/W2091804476","https://openalex.org/W2093027094","https://openalex.org/W2094855401","https://openalex.org/W2097308346","https://openalex.org/W2098642746","https://openalex.org/W2101996313","https://openalex.org/W2104434039","https://openalex.org/W2111891221","https://openalex.org/W2112348586","https://openalex.org/W2113868437","https://openalex.org/W2114257785","https://openalex.org/W2117183049","https://openalex.org/W2117684310","https://openalex.org/W2124386111","https://openalex.org/W2126447858","https://openalex.org/W2131939929","https://openalex.org/W2133368951","https://openalex.org/W2134753888","https://openalex.org/W2135915144","https://openalex.org/W2138790588","https://openalex.org/W2141419194","https://openalex.org/W2161163382","https://openalex.org/W2168464387","https://openalex.org/W2173758409","https://openalex.org/W2207526553","https://openalex.org/W2285077570","https://openalex.org/W2302149468","https://openalex.org/W2474764209","https://openalex.org/W2605552558","https://openalex.org/W2621081915","https://openalex.org/W2747602847","https://openalex.org/W2805964580","https://openalex.org/W2951665052","https://openalex.org/W2952488104","https://openalex.org/W2962809044","https://openalex.org/W2962936676","https://openalex.org/W2963122501","https://openalex.org/W2963381078","https://openalex.org/W2963687408","https://openalex.org/W2964245904","https://openalex.org/W3004175625","https://openalex.org/W4213367101"],"related_works":["https://openalex.org/W1632903234","https://openalex.org/W3004045746","https://openalex.org/W2914179169","https://openalex.org/W126849150","https://openalex.org/W2706905479","https://openalex.org/W2099272513","https://openalex.org/W2030712947","https://openalex.org/W1969002695","https://openalex.org/W2008961943","https://openalex.org/W9783904"],"abstract_inverted_index":{"We":[0,83],"demonstrate":[1],"applications":[2],"of":[3,33,42,75,88],"the":[4,38,47,52,61],"Gaussian":[5,65],"process-based":[6],"landmarking":[7],"algorithm":[8],"proposed":[9],"in":[10,73],"[T.":[11],"Gao,":[12],"S.":[13],"Z.":[14],"Kovalsky,":[15],"and":[16,40,45,79,91,98],"I.":[17],"Daubechies,":[18],"SIAM":[19],"J.":[20],"Math.":[21],"Data":[22],"Sci.,":[23],"1":[24],"(2019),":[25],"pp.":[26],"208--236]":[27],"to":[28],"geometric":[29],"morphometrics,":[30],"a":[31,85],"branch":[32],"evolutionary":[34,59],"biology":[35],"centered":[36],"at":[37],"analysis":[39],"comparisons":[41],"anatomical":[43,104],"shapes,":[44],"compare":[46],"automatically":[48],"sampled":[49],"landmarks":[50,55,67],"with":[51],"\"ground":[53],"truth\"":[54],"manually":[56],"placed":[57],"by":[58],"anthropologists;":[60],"results":[62],"suggest":[63],"that":[64],"process":[66],"perform":[68],"equally":[69],"well":[70],"or":[71],"better,":[72],"terms":[74],"both":[76],"spatial":[77],"coverage":[78],"downstream":[80],"statistical":[81],"analysis.":[82],"provide":[84],"detailed":[86],"exposition":[87],"numerical":[89],"procedures":[90],"feature":[92],"filtering":[93],"algorithms":[94],"for":[95],"computing":[96],"high-quality":[97],"semantically":[99],"meaningful":[100],"diffeomorphisms":[101],"between":[102],"disk-type":[103],"surfaces.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}