{"id":"https://openalex.org/W4285060916","doi":"https://doi.org/10.1109/tsp.2022.3183344","title":"An Accelerated Expectation-Maximization Algorithm for Multi-Reference Alignment","display_name":"An Accelerated Expectation-Maximization Algorithm for Multi-Reference Alignment","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285060916","doi":"https://doi.org/10.1109/tsp.2022.3183344"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2022.3183344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3183344","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2105.07372","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067327689","display_name":"Noam Janco","orcid":"https://orcid.org/0000-0002-9302-0857"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Noam Janco","raw_affiliation_strings":["School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000527961","display_name":"Tamir Bendory","orcid":"https://orcid.org/0000-0003-2373-9388"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tamir Bendory","raw_affiliation_strings":["School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067327689"],"corresponding_institution_ids":["https://openalex.org/I16391192"],"apc_list":null,"apc_paid":null,"fwci":1.2236,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.80132365,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"70","issue":null,"first_page":"3237","last_page":"3248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9847000241279602,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9847000241279602,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.6762685775756836},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.614656925201416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5769237875938416},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5573707818984985},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5553692579269409},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5509733557701111},{"id":"https://openalex.org/keywords/synchronization","display_name":"Synchronization (alternating current)","score":0.535675585269928},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.43579035997390747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42803120613098145},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37644872069358826},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.36171895265579224},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3253072500228882},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32057076692581177},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3073229193687439},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.15489047765731812},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0904296338558197}],"concepts":[{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.6762685775756836},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.614656925201416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5769237875938416},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5573707818984985},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5553692579269409},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5509733557701111},{"id":"https://openalex.org/C2778562939","wikidata":"https://www.wikidata.org/wiki/Q1298791","display_name":"Synchronization (alternating current)","level":3,"score":0.535675585269928},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.43579035997390747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42803120613098145},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37644872069358826},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.36171895265579224},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3253072500228882},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32057076692581177},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3073229193687439},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.15489047765731812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0904296338558197},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2022.3183344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2022.3183344","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2105.07372","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07372","pdf_url":"https://arxiv.org/pdf/2105.07372","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2105.07372","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2105.07372","pdf_url":"https://arxiv.org/pdf/2105.07372","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1617956525","https://openalex.org/W1981124257","https://openalex.org/W2005240547","https://openalex.org/W2049633694","https://openalex.org/W2072951627","https://openalex.org/W2092709807","https://openalex.org/W2104234755","https://openalex.org/W2117858075","https://openalex.org/W2143703915","https://openalex.org/W2147554450","https://openalex.org/W2259617270","https://openalex.org/W2536490006","https://openalex.org/W2587625522","https://openalex.org/W2610514561","https://openalex.org/W2756916783","https://openalex.org/W2962988788","https://openalex.org/W2963504399","https://openalex.org/W2972329136","https://openalex.org/W2980256943","https://openalex.org/W3007689149","https://openalex.org/W3009153763","https://openalex.org/W3010359926","https://openalex.org/W3044798043","https://openalex.org/W3098452187","https://openalex.org/W3101709264","https://openalex.org/W3102546692","https://openalex.org/W3131671424","https://openalex.org/W3134074291","https://openalex.org/W3155829864","https://openalex.org/W3169115892","https://openalex.org/W3175813389","https://openalex.org/W3203665543","https://openalex.org/W4210557735","https://openalex.org/W4287125606","https://openalex.org/W4289261762","https://openalex.org/W4297730001","https://openalex.org/W6746576289","https://openalex.org/W6802292781","https://openalex.org/W6840381572","https://openalex.org/W6840487811"],"related_works":["https://openalex.org/W2380573388","https://openalex.org/W1514609475","https://openalex.org/W2947806671","https://openalex.org/W2369636957","https://openalex.org/W2390878257","https://openalex.org/W1976188970","https://openalex.org/W2128367053","https://openalex.org/W2990541822","https://openalex.org/W1588885902","https://openalex.org/W1551815774"],"abstract_inverted_index":{"The":[0,98,122],"multi-reference":[1],"alignment":[2],"(MRA)":[3],"problem":[4],"entails":[5],"estimating":[6,29],"an":[7],"image":[8,27,76],"from":[9],"multiple":[10],"noisy":[11],"and":[12,36,59,112,131],"rotated":[13],"copies":[14],"of":[15,91,106,136,165],"itself.":[16],"If":[17],"the":[18,26,30,34,39,48,53,68,116,128,133,137,147,169],"noise":[19,49,158],"level":[20,50],"is":[21,45,51,110],"low,":[22],"one":[23],"can":[24,55,61,71,150],"reconstruct":[25],"by":[28,95,142,161],"missing":[31],"rotations,":[32],"aligning":[33],"images,":[35],"averaging":[37],"out":[38],"noise.":[40],"While":[41],"accurate":[42],"rotation":[43],"estimation":[44],"impossible":[46],"if":[47],"high,":[52],"rotations":[54],"still":[56],"be":[57,72],"approximated,":[58],"thus":[60,132],"provide":[62],"indispensable":[63],"information.":[64],"In":[65,78],"particular,":[66],"learning":[67],"approximation":[69],"error":[70],"harnessed":[73],"for":[74,154],"efficient":[75],"estimation.":[77],"this":[79,108],"paper,":[80],"we":[81],"propose":[82],"a":[83,103,119,162],"new":[84],"computational":[85,134],"framework,":[86],"called":[87],"Synch-EM,":[88],"that":[89,146],"consists":[90],"angular":[92],"synchronization":[93,99],"followed":[94],"expectation-maximization":[96],"(EM).":[97],"step":[100],"results":[101],"in":[102,156],"concentrated":[104],"distribution":[105,109,124],"rotations;":[107],"learned":[111,123],"then":[113],"incorporated":[114],"into":[115],"EM":[117,138,153],"as":[118],"Bayesian":[120],"prior.":[121],"also":[125],"dramatically":[126],"reduces":[127],"search":[129],"space,":[130],"load":[135],"iterations.":[139],"We":[140],"show":[141],"extensive":[143],"numerical":[144],"experiments":[145],"proposed":[148],"framework":[149],"significantly":[151],"accelerate":[152],"MRA":[155],"high":[157],"levels,":[159],"occasionally":[160],"few":[163],"orders":[164],"magnitude,":[166],"without":[167],"degrading":[168],"reconstruction":[170],"quality.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
