{"id":"https://openalex.org/W2093270024","doi":"https://doi.org/10.1145/1989323.1989428","title":"ATLAS","display_name":"ATLAS","publication_year":2011,"publication_date":"2011-06-12","ids":{"openalex":"https://openalex.org/W2093270024","doi":"https://doi.org/10.1145/1989323.1989428","mag":"2093270024"},"language":"en","primary_location":{"id":"doi:10.1145/1989323.1989428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","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/A5100349821","display_name":"Jiaqi Zhai","orcid":"https://orcid.org/0009-0004-7279-3318"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiaqi Zhai","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040024056","display_name":"Yin Lou","orcid":"https://orcid.org/0009-0004-8329-7192"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Lou","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023537206","display_name":"Johannes Gehrke","orcid":"https://orcid.org/0009-0006-6293-5209"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johannes Gehrke","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100349821"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":3.981,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94490651,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"997","last_page":"1008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9991000294685364,"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":0.9983999729156494,"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/jaccard-index","display_name":"Jaccard index","score":0.8942452669143677},{"id":"https://openalex.org/keywords/atlas","display_name":"Atlas (anatomy)","score":0.6395025849342346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6144891381263733},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5900970101356506},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.48976755142211914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48165905475616455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4771403968334198},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.45897620916366577},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.45426008105278015},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4289420247077942},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2834543287754059},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12221500277519226}],"concepts":[{"id":"https://openalex.org/C203519979","wikidata":"https://www.wikidata.org/wiki/Q865360","display_name":"Jaccard index","level":3,"score":0.8942452669143677},{"id":"https://openalex.org/C2776673561","wikidata":"https://www.wikidata.org/wiki/Q655357","display_name":"Atlas (anatomy)","level":2,"score":0.6395025849342346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6144891381263733},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5900970101356506},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.48976755142211914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48165905475616455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4771403968334198},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.45897620916366577},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.45426008105278015},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4289420247077942},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2834543287754059},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12221500277519226},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1989323.1989428","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1989323.1989428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2011 ACM SIGMOD International Conference on Management of data","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1541459201","https://openalex.org/W1672197616","https://openalex.org/W1979819093","https://openalex.org/W1985123706","https://openalex.org/W1991800036","https://openalex.org/W2012833704","https://openalex.org/W2014712792","https://openalex.org/W2083966857","https://openalex.org/W2085922539","https://openalex.org/W2096554081","https://openalex.org/W2096598900","https://openalex.org/W2097184821","https://openalex.org/W2097776316","https://openalex.org/W2114353347","https://openalex.org/W2123427850","https://openalex.org/W2127675794","https://openalex.org/W2128017662","https://openalex.org/W2133999183","https://openalex.org/W2147717514","https://openalex.org/W2150307973","https://openalex.org/W2151103935","https://openalex.org/W2151930506","https://openalex.org/W2156336347","https://openalex.org/W2160202225","https://openalex.org/W2161443453","https://openalex.org/W2164530213","https://openalex.org/W2165232124","https://openalex.org/W2536680313","https://openalex.org/W3101647379"],"related_works":["https://openalex.org/W4381948805","https://openalex.org/W4214483597","https://openalex.org/W4220978606","https://openalex.org/W4220894110","https://openalex.org/W4388145912","https://openalex.org/W126212742","https://openalex.org/W1437580529","https://openalex.org/W2307895033","https://openalex.org/W3048951355","https://openalex.org/W4313532769"],"abstract_inverted_index":{"Given":[0],"a":[1,9,30,39],"set":[2],"of":[3,21,25,69],"high":[4],"dimensional":[5],"binary":[6],"vectors":[7,26],"and":[8,15],"similarity":[10,28,72],"function":[11],"(such":[12],"as":[13,49],"Jaccard":[14],"Cosine),":[16],"we":[17],"study":[18],"the":[19,67],"problem":[20,37],"finding":[22],"all":[23],"pairs":[24],"whose":[27],"exceeds":[29],"given":[31],"threshold.":[32],"The":[33],"solution":[34],"to":[35],"this":[36],"is":[38],"key":[40],"component":[41],"in":[42],"many":[43,61],"applications":[44,64],"with":[45],"feature-rich":[46],"objects,":[47],"such":[48],"text,":[50],"images,":[51],"music,":[52],"videos,":[53],"or":[54],"social":[55],"networks.":[56],"In":[57],"particular,":[58],"there":[59],"are":[60],"important":[62],"emerging":[63],"that":[65],"require":[66],"use":[68],"relatively":[70],"low":[71],"thresholds.":[73]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
