{"id":"https://openalex.org/W2071714241","doi":"https://doi.org/10.1145/1254882.1254900","title":"Sizing sketches","display_name":"Sizing sketches","publication_year":2007,"publication_date":"2007-06-12","ids":{"openalex":"https://openalex.org/W2071714241","doi":"https://doi.org/10.1145/1254882.1254900","mag":"2071714241"},"language":"en","primary_location":{"id":"doi:10.1145/1254882.1254900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1254882.1254900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","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/A5100621319","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-3759-2041"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086692495","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0003-3067-8720"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Dong","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051555159","display_name":"William Josephson","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Josephson","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089831843","display_name":"Qin Lv","orcid":"https://orcid.org/0000-0002-9437-1376"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qin Lv","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071016611","display_name":"Moses Charikar","orcid":"https://orcid.org/0000-0003-0807-3389"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moses Charikar","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399972","display_name":"Kai Li","orcid":"https://orcid.org/0000-0003-1560-0853"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai Li","raw_affiliation_strings":["Princeton University, Princeton, NJ"],"affiliations":[{"raw_affiliation_string":"Princeton University, Princeton, NJ","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100621319"],"corresponding_institution_ids":["https://openalex.org/I20089843"],"apc_list":null,"apc_paid":null,"fwci":2.9211,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.914132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"168"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T11106","display_name":"Data Management and Algorithms","score":0.9988999962806702,"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/T10824","display_name":"Image Retrieval and Classification 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"}}],"keywords":[{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7444245219230652},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7227582931518555},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.5849928259849548},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.5548492670059204},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5383082628250122},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48053795099258423},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.4728182554244995},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.45919761061668396},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.4222784638404846},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.41711196303367615},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4125058948993683},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4113662540912628},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3089730143547058},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3004797101020813},{"id":"https://openalex.org/keywords/hamming-code","display_name":"Hamming code","score":0.22302505373954773},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.13281401991844177}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7444245219230652},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7227582931518555},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.5849928259849548},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.5548492670059204},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5383082628250122},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48053795099258423},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.4728182554244995},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.45919761061668396},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.4222784638404846},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.41711196303367615},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4125058948993683},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4113662540912628},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3089730143547058},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3004797101020813},{"id":"https://openalex.org/C73150493","wikidata":"https://www.wikidata.org/wiki/Q853922","display_name":"Hamming code","level":4,"score":0.22302505373954773},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.13281401991844177},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1254882.1254900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1254882.1254900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1502916507","https://openalex.org/W1541459201","https://openalex.org/W1561952261","https://openalex.org/W1571401318","https://openalex.org/W1635512741","https://openalex.org/W1978297550","https://openalex.org/W1997744504","https://openalex.org/W2005243064","https://openalex.org/W2011798344","https://openalex.org/W2012833704","https://openalex.org/W2022508429","https://openalex.org/W2034188144","https://openalex.org/W2062170755","https://openalex.org/W2067994867","https://openalex.org/W2071572981","https://openalex.org/W2104019579","https://openalex.org/W2105022522","https://openalex.org/W2118269922","https://openalex.org/W2133296809","https://openalex.org/W2145725688","https://openalex.org/W2147717514","https://openalex.org/W2148885851","https://openalex.org/W2161449253","https://openalex.org/W2162006472","https://openalex.org/W2619993508"],"related_works":["https://openalex.org/W2168583610","https://openalex.org/W2106912783","https://openalex.org/W4319992527","https://openalex.org/W2895933466","https://openalex.org/W4281867900","https://openalex.org/W2242351545","https://openalex.org/W4225279861","https://openalex.org/W2991691693","https://openalex.org/W3007210128","https://openalex.org/W2613408642"],"abstract_inverted_index":{"Sketches":[0],"are":[1],"compact":[2],"data":[3,15,22],"structures":[4],"that":[5,32],"can":[6,41,60],"be":[7],"used":[8],"to":[9,87,112,115],"estimate":[10],"properties":[11],"of":[12,79,91],"the":[13,47,51,67,89,92,120,126],"original":[14],"in":[16],"building":[17],"large-scale":[18],"search":[19],"engines":[20],"and":[21,27,71,101],"analysis":[23],"systems.":[24],"Recent":[25],"theoretical":[26],"experimental":[28],"studies":[29],"have":[30],"shown":[31],"sketches":[33,59,93],"constructed":[34],"from":[35],"feature":[36,48],"vectors":[37,49],"using":[38],"randomized":[39],"projections":[40],"effectively":[42],"approximate":[43],"L1":[44],"distance":[45,53],"on":[46,54],"with":[50],"Hamming":[52],"their":[55],"sketches.":[56],"Furthermore,":[57],"such":[58],"achieve":[61],"good":[62],"filtering":[63,103],"accuracy":[64],"while":[65],"reducing":[66],"metadata":[68],"space":[69],"requirement":[70],"speeding":[72],"up":[73],"similarity":[74],"searches":[75],"by":[76],"an":[77],"order":[78],"magnitude.":[80],"However,":[81],"it":[82,95,109],"is":[83,110],"not":[84],"clear":[85],"how":[86,114],"choose":[88,116],"size":[90,118],"since":[94],"depends":[96],"ondata":[97],"type,":[98],"dataset":[99],"size,":[100],"desired":[102],"quality.":[104],"In":[105],"real":[106],"systems":[107],"designs,":[108],"necessary":[111],"understand":[113],"sketch":[117],"without":[119,125],"dataset,":[121],"or":[122],"at":[123],"least":[124],"whole":[127],"datase.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
