{"id":"https://openalex.org/W2111725483","doi":"https://doi.org/10.1109/cvprw.2008.4563139","title":"Incremental estimation without specifying a-priori covariance matrices for the novel parameters","display_name":"Incremental estimation without specifying a-priori covariance matrices for the novel parameters","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2111725483","doi":"https://doi.org/10.1109/cvprw.2008.4563139","mag":"2111725483"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2008.4563139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","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/A5012183963","display_name":"Christian Beder","orcid":"https://orcid.org/0000-0001-8485-019X"},"institutions":[{"id":"https://openalex.org/I32021983","display_name":"Kiel University","ror":"https://ror.org/04v76ef78","country_code":"DE","type":"education","lineage":["https://openalex.org/I32021983"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christian Beder","raw_affiliation_strings":["Computer Science Department, Kiel University, Germany","Comput. Sci. Dept., Kiel Univ., Kiel"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Kiel University, Germany","institution_ids":["https://openalex.org/I32021983"]},{"raw_affiliation_string":"Comput. Sci. Dept., Kiel Univ., Kiel","institution_ids":["https://openalex.org/I32021983"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055853152","display_name":"Richard Steffen","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Richard Steffen","raw_affiliation_strings":["Department of Photogrammetry, Bond University, Germany","Department of Photogrammetry, Bonn University, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Photogrammetry, Bond University, Germany","institution_ids":[]},{"raw_affiliation_string":"Department of Photogrammetry, Bonn University, Germany#TAB#","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012183963"],"corresponding_institution_ids":["https://openalex.org/I32021983"],"apc_list":null,"apc_paid":null,"fwci":0.7024,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7404909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4174","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"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":0.9994999766349792,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6948024034500122},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.578423023223877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5460883975028992},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5345486998558044},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5096397399902344},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5050964951515198},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4823176860809326},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.46192142367362976},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4535674452781677},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.43319380283355713},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4318862557411194},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4229186475276947},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4225218594074249},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37698301672935486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28992778062820435},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.27050960063934326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09087428450584412}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6948024034500122},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.578423023223877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5460883975028992},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5345486998558044},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5096397399902344},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5050964951515198},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4823176860809326},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.46192142367362976},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4535674452781677},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.43319380283355713},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4318862557411194},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4229186475276947},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4225218594074249},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37698301672935486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28992778062820435},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.27050960063934326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09087428450584412},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2008.4563139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2008.4563139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1482006497","https://openalex.org/W1547669723","https://openalex.org/W1552779774","https://openalex.org/W1581445110","https://openalex.org/W1588720062","https://openalex.org/W1851877971","https://openalex.org/W1973905609","https://openalex.org/W2020934227","https://openalex.org/W2098324167","https://openalex.org/W2113243634","https://openalex.org/W2117083552","https://openalex.org/W2124313187","https://openalex.org/W2124321582","https://openalex.org/W2128275197","https://openalex.org/W2132995994","https://openalex.org/W2145938889","https://openalex.org/W2148820580","https://openalex.org/W2152432805","https://openalex.org/W2168564612","https://openalex.org/W2170070567","https://openalex.org/W3022404379","https://openalex.org/W4299309937","https://openalex.org/W4301621763","https://openalex.org/W6633093419","https://openalex.org/W6655473528","https://openalex.org/W6677334830","https://openalex.org/W6678941962","https://openalex.org/W6681158678","https://openalex.org/W6682324061"],"related_works":["https://openalex.org/W4242740646","https://openalex.org/W4254402015","https://openalex.org/W1525886636","https://openalex.org/W1602531054","https://openalex.org/W4239999152","https://openalex.org/W2973191244","https://openalex.org/W2145213470","https://openalex.org/W2038428770","https://openalex.org/W1972943862","https://openalex.org/W2951738848"],"abstract_inverted_index":{"We":[0,114],"will":[1,115,149,167],"present":[2],"a":[3,44,77,162],"novel":[4,45],"incremental":[5,46,153],"algorithm":[6,120],"for":[7,106],"the":[8,19,25,33,37,66,81,88,92,107,129,145,157,176],"task":[9],"of":[10,21,28,39,72,80,131],"online":[11],"least-squares":[12,22,40],"estimation.":[13],"Our":[14],"approach":[15],"aims":[16],"at":[17],"combining":[18],"accuracy":[20],"estimation":[23,30,41,60,69,100,125,154],"and":[24,56,62,133],"fast":[26],"computation":[27],"recursive":[29,99],"techniques":[31,101],"like":[32],"Kalman":[34,83],"filter.":[35],"Analyzing":[36],"structure":[38],"we":[42,148],"devise":[43],"algorithm,":[47],"which":[48],"is":[49,63,111,141],"able":[50],"to":[51,65,86,97,156],"introduce":[52],"new":[53,108,119],"unknown":[54,109],"parameters":[55,110],"observations":[57],"into":[58],"an":[59],"simultaneously":[61],"equivalent":[64],"optimal":[67,158],"overall":[68],"in":[70,128,144],"case":[71,130,147],"linear":[73],"models.":[74],"It":[75,166],"constitutes":[76],"direct":[78],"generalization":[79],"well-known":[82],"filter":[84],"allowing":[85],"augment":[87],"state":[89],"vector":[90],"inside":[91],"update":[93],"step.":[94],"In":[95],"contrast":[96],"classical":[98],"no":[102],"artificial":[103],"initial":[104],"covariance":[105],"required":[112],"here.":[113],"show,":[116],"how":[117],"this":[118],"allows":[121],"more":[122],"flexible":[123],"parameter":[124],"schemes":[126],"especially":[127],"scene":[132],"motion":[134],"reconstruction":[135],"from":[136],"image":[137,164],"sequences.":[138],"Since":[139],"optimality":[140],"not":[142],"guaranteed":[143],"non-linear":[146],"also":[150],"compare":[151],"our":[152],"scheme":[155],"bundle":[159],"adjustment":[160],"on":[161],"real":[163],"sequence.":[165],"be":[168],"shown":[169],"that":[170],"competitive":[171],"results":[172],"are":[173],"achievable":[174],"using":[175],"proposed":[177],"technique.":[178]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}