{"id":"https://openalex.org/W2416529140","doi":"https://doi.org/10.1145/2897518.2897577","title":"Streaming algorithms for embedding and computing edit distance in the low distance regime","display_name":"Streaming algorithms for embedding and computing edit distance in the low distance regime","publication_year":2016,"publication_date":"2016-06-10","ids":{"openalex":"https://openalex.org/W2416529140","doi":"https://doi.org/10.1145/2897518.2897577","mag":"2416529140"},"language":"en","primary_location":{"id":"doi:10.1145/2897518.2897577","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897518.2897577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-eighth annual ACM symposium on Theory of Computing","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/A5024602075","display_name":"Diptarka Chakraborty","orcid":"https://orcid.org/0000-0002-0687-5823"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Diptarka Chakraborty","raw_affiliation_strings":["IIT Kanpur, India"],"affiliations":[{"raw_affiliation_string":"IIT Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043150895","display_name":"Elazar Goldenberg","orcid":null},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Elazar Goldenberg","raw_affiliation_strings":["Charles University in Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Charles University in Prague, Czechia","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040922782","display_name":"Michal Kouck\u00fd","orcid":"https://orcid.org/0000-0003-0808-2269"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Michal Kouck\u00fd","raw_affiliation_strings":["Charles University in Prague, Czechia"],"affiliations":[{"raw_affiliation_string":"Charles University in Prague, Czechia","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024602075"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":10.7119,"has_fulltext":false,"cited_by_count":62,"citation_normalized_percentile":{"value":0.98271422,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"712","last_page":"725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11269","display_name":"Algorithms and Data Compression","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12029","display_name":"DNA and Biological Computing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/edit-distance","display_name":"Edit distance","score":0.9246068000793457},{"id":"https://openalex.org/keywords/hamming-distance","display_name":"Hamming distance","score":0.7575814723968506},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7108490467071533},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.5337214469909668},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5314952731132507},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.47562840580940247},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.45645639300346375},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4313699007034302},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.35923880338668823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3200691342353821},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08878317475318909}],"concepts":[{"id":"https://openalex.org/C44359876","wikidata":"https://www.wikidata.org/wiki/Q5338467","display_name":"Edit distance","level":2,"score":0.9246068000793457},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.7575814723968506},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7108490467071533},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.5337214469909668},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5314952731132507},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.47562840580940247},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.45645639300346375},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4313699007034302},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.35923880338668823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3200691342353821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08878317475318909},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2897518.2897577","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897518.2897577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the forty-eighth annual ACM symposium on Theory of Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4329262146","display_name":null,"funder_award_id":"616787","funder_id":"https://openalex.org/F4320334678","funder_display_name":"European Research Council"}],"funders":[{"id":"https://openalex.org/F4320334678","display_name":"European Research Council","ror":"https://ror.org/0472cxd90"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W131559419","https://openalex.org/W605043455","https://openalex.org/W1483799883","https://openalex.org/W1500080406","https://openalex.org/W1546441687","https://openalex.org/W1578417629","https://openalex.org/W1600293573","https://openalex.org/W1647671624","https://openalex.org/W1968570655","https://openalex.org/W1969844791","https://openalex.org/W1970026646","https://openalex.org/W1974708980","https://openalex.org/W1982991092","https://openalex.org/W1985108724","https://openalex.org/W2000835972","https://openalex.org/W2001496424","https://openalex.org/W2011632873","https://openalex.org/W2012010763","https://openalex.org/W2019972981","https://openalex.org/W2032869782","https://openalex.org/W2050749090","https://openalex.org/W2055693471","https://openalex.org/W2061135126","https://openalex.org/W2074353216","https://openalex.org/W2084812114","https://openalex.org/W2084921767","https://openalex.org/W2133601898","https://openalex.org/W2147717514","https://openalex.org/W2153672863","https://openalex.org/W2162663580","https://openalex.org/W2340787257","https://openalex.org/W2399200320","https://openalex.org/W2885549115","https://openalex.org/W6618458788","https://openalex.org/W6629691689","https://openalex.org/W6636021564"],"related_works":["https://openalex.org/W2495029940","https://openalex.org/W195224515","https://openalex.org/W2007173733","https://openalex.org/W2087725382","https://openalex.org/W2392648935","https://openalex.org/W4322716869","https://openalex.org/W2151713270","https://openalex.org/W2279178133","https://openalex.org/W2143269753","https://openalex.org/W2012106299"],"abstract_inverted_index":{"The":[0,23],"Hamming":[1,51,84,110],"and":[2,28,40,55,117,155,191],"the":[3,20,33,50,58,79,83,109,113,127,145,152,156,166],"edit":[4,24,80,105,185,193,206],"metrics":[5],"are":[6],"two":[7],"common":[8],"notions":[9],"of":[10,15,36,60,78,115,130,142,210],"measuring":[11],"distances":[12],"between":[13,26,53,112],"pairs":[14],"strings":[16],"x,y":[17,101],"lying":[18],"in":[19,151,188],"Boolean":[21],"hypercube.":[22],"distance":[25,52,81,85,106,111,186,194,197,207],"x":[27,46,54,66,116],"y":[29,56,118],"is":[30,57,119,149,201,209],"defined":[31],"as":[32],"minimum":[34],"number":[35,59],"character":[37],"insertion,":[38],"deletion,":[39],"bit":[41,61],"flips":[42,62],"needed":[43,63],"for":[44,64,99,139,172,184,205],"converting":[45,65],"into":[47,82],"y.":[48,68],"Whereas,":[49],"to":[67],"In":[69],"this":[70,173],"paper":[71],"we":[72,178],"study":[73],"a":[74,87,92,162,180],"randomized":[75,93],"injective":[76],"embedding":[77,94,114,146,157],"with":[86,95,121],"small":[88,140],"distortion.":[89,97],"We":[90,168],"show":[91],"quadratic":[96],"Namely,":[98],"any":[100],"satisfying":[102],"that":[103,208],"their":[104],"equals":[107],"k,":[108],"O(k2)":[120],"high":[122],"probability.":[123],"This":[124,199],"improves":[125],"over":[126,165],"distortion":[128],"ratio":[129],"O(":[131],"n":[132],"*":[133],"n)":[134],"obtained":[135],"by":[136],"Jowhari":[137],"(2012)":[138],"values":[141],"k.":[143],"Moreover,":[144],"output":[147],"size":[148,154],"linear":[150],"input":[153],"can":[158],"be":[159],"computed":[160],"using":[161],"single":[163],"pass":[164],"input.":[167],"provide":[169,179],"several":[170],"applications":[171],"embedding.":[174],"Among":[175],"our":[176],"results":[177],"one-pass":[181],"(streaming)":[182],"algorithm":[183,200],"running":[187],"space":[189],"O(s)":[190],"computing":[192],"exactly":[195],"up-to":[196],"s1/6.":[198],"based":[202],"on":[203],"kernelization":[204],"independent":[211],"interest.":[212]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}