{"id":"https://openalex.org/W2517295796","doi":"https://doi.org/10.1109/icip.2016.7533089","title":"Scale-invariant anomaly detection with multiscale group-sparse models","display_name":"Scale-invariant anomaly detection with multiscale group-sparse models","publication_year":2016,"publication_date":"2016-08-17","ids":{"openalex":"https://openalex.org/W2517295796","doi":"https://doi.org/10.1109/icip.2016.7533089","mag":"2517295796"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2016.7533089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5068666949","display_name":"Diego Carrera","orcid":"https://orcid.org/0000-0002-5455-5867"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Diego Carrera","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006716646","display_name":"Giacomo Boracchi","orcid":"https://orcid.org/0000-0002-1650-3054"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giacomo Boracchi","raw_affiliation_strings":["Dipartimento di Elettronica, Politecnico di Milano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dipartimento di Elettronica, Politecnico di Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063956725","display_name":"Alessandro Foi","orcid":"https://orcid.org/0000-0001-8228-3187"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]},{"id":"https://openalex.org/I4210133110","display_name":"Tampere University","ror":null,"country_code":"FI","type":null,"lineage":["https://openalex.org/I4210133110"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Alessandro Foi","raw_affiliation_strings":["Department of Signal Processing, Tampere University of Technology, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Signal Processing, Tampere University of Technology, Finland","institution_ids":["https://openalex.org/I166825849","https://openalex.org/I4210133110"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015244709","display_name":"Brendt Wohlberg","orcid":"https://orcid.org/0000-0002-4767-1843"},"institutions":[{"id":"https://openalex.org/I1343871089","display_name":"Los Alamos National Laboratory","ror":"https://ror.org/01e41cf67","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I1343871089","https://openalex.org/I198811213","https://openalex.org/I4210120050"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brendt Wohlberg","raw_affiliation_strings":["Theoretical Division, Los Alamos National Laboratory, NM, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Theoretical Division, Los Alamos National Laboratory, NM, USA","institution_ids":["https://openalex.org/I1343871089"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3892","last_page":"3896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937000274658203,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937000274658203,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9873999953269958,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.7559441328048706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6991571187973022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6832393407821655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6536353230476379},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.6530843377113342},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.646942138671875},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6231412887573242},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.6135696768760681},{"id":"https://openalex.org/keywords/magnification","display_name":"Magnification","score":0.5288280844688416},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4635070860385895},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4468362629413605},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41252806782722473},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2296600341796875}],"concepts":[{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.7559441328048706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991571187973022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6832393407821655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6536353230476379},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.6530843377113342},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.646942138671875},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6231412887573242},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6135696768760681},{"id":"https://openalex.org/C4144372","wikidata":"https://www.wikidata.org/wiki/Q675287","display_name":"Magnification","level":2,"score":0.5288280844688416},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4635070860385895},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4468362629413605},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41252806782722473},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2296600341796875},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icip.2016.7533089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2016.7533089","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1001561","is_oa":false,"landing_page_url":"http://hdl.handle.net/11311/1001561","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"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":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:trepo.tuni.fi:10024/213307","is_oa":false,"landing_page_url":"https://trepo.tuni.fi/handle/10024/213307","pdf_url":null,"source":{"id":"https://openalex.org/S7407055260","display_name":"Trepo - Institutional Repository of Tampere University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"conference"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1499399937","https://openalex.org/W1635340334","https://openalex.org/W1890834058","https://openalex.org/W1963586106","https://openalex.org/W1972495091","https://openalex.org/W1986931325","https://openalex.org/W1990793701","https://openalex.org/W2014235936","https://openalex.org/W2025946330","https://openalex.org/W2056758595","https://openalex.org/W2095345875","https://openalex.org/W2102024628","https://openalex.org/W2105497548","https://openalex.org/W2115627867","https://openalex.org/W2119511924","https://openalex.org/W2122646361","https://openalex.org/W2138019504","https://openalex.org/W2141660238","https://openalex.org/W2150548620","https://openalex.org/W2157248428","https://openalex.org/W2164278908","https://openalex.org/W2190662802","https://openalex.org/W2293078015","https://openalex.org/W2296399167","https://openalex.org/W2545601451","https://openalex.org/W4247680705","https://openalex.org/W4292363360","https://openalex.org/W6675450074","https://openalex.org/W6682079006","https://openalex.org/W6728921875"],"related_works":["https://openalex.org/W2016265625","https://openalex.org/W2111634407","https://openalex.org/W2552089492","https://openalex.org/W4205656132","https://openalex.org/W2982240858","https://openalex.org/W2008821896","https://openalex.org/W2067062989","https://openalex.org/W3004790527","https://openalex.org/W2080187108","https://openalex.org/W2972860561"],"abstract_inverted_index":{"The":[0,150],"automatic":[1],"detection":[2],"of":[3,15,42,54,135,144,163],"anomalies,":[4],"defined":[5],"as":[6,64,118],"patterns":[7],"that":[8,31,125,129],"are":[9,62],"not":[10,83,93],"encountered":[11],"in":[12,22,106,155],"representative":[13],"set":[14,53],"normal":[16,58,107],"images,":[17,168],"is":[18,82,92,99,130],"an":[19,122,145,156],"important":[20],"problem":[21,33],"industrial":[23,157],"control":[24],"and":[25,138],"biomedical":[26],"applications.":[27],"We":[28,120],"have":[29],"shown":[30],"this":[32,72,80,140],"can":[34],"be":[35,116],"successfully":[36,153],"addressed":[37],"by":[38,142,159],"the":[39,68,97],"sparse":[40,69,147],"representation":[41,70],"individual":[43],"image":[44],"patches":[45,55,61,105],"using":[46],"a":[47,51,102,111,127,133,161],"dictionary":[48,73,98,128],"learned":[49,100],"from":[50,57],"large":[52],"extracted":[56],"images.":[59],"Anomalous":[60],"detected":[63,117],"those":[65],"for":[66,85],"which":[67,169],"on":[71],"exceeds":[74],"sparsity":[75],"or":[76],"error":[77],"tolerances.":[78],"Unfortunately,":[79],"solution":[81],"suitable":[84],"many":[86],"real-world":[87],"visual":[88],"inspection-systems":[89],"since":[90,96],"it":[91],"scale":[94,136],"invariant:":[95],"at":[101,110],"single":[103],"scale,":[104],"images":[108],"acquired":[109],"different":[112,172],"magnification":[113,173],"level":[114],"might":[115],"anomalous.":[119],"present":[121],"anomaly-detection":[123],"algorithm":[124,151],"learns":[126],"invariant":[131],"to":[132],"range":[134],"changes,":[137],"overcomes":[139],"limitation":[141],"use":[143],"appropriate":[146],"coding":[148],"stage.":[149],"was":[152],"tested":[154],"application":[158],"analyzing":[160],"dataset":[162],"Scanning":[164],"Electron":[165],"Microscope":[166],"(SEM)":[167],"typically":[170],"exhibit":[171],"levels.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}