{"id":"https://openalex.org/W3015264040","doi":"https://doi.org/10.1109/icassp40776.2020.9053151","title":"Quantized Tensor Robust Principal Component Analysis","display_name":"Quantized Tensor Robust Principal Component Analysis","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015264040","doi":"https://doi.org/10.1109/icassp40776.2020.9053151","mag":"3015264040"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5061276033","display_name":"Anastasia Aidini","orcid":"https://orcid.org/0000-0002-5389-6483"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Anastasia Aidini","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002165073","display_name":"Grigorios Tsagkatakis","orcid":"https://orcid.org/0000-0001-6498-9450"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Grigorios Tsagkatakis","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060388738","display_name":"Panagiotis Tsakalides","orcid":"https://orcid.org/0000-0003-4918-603X"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Panagiotis Tsakalides","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology-Hellas (FORTH) Heraklion, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061276033"],"corresponding_institution_ids":["https://openalex.org/I8901234"],"apc_list":null,"apc_paid":null,"fwci":0.4203,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"2453","last_page":"2457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9937000274658203,"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7485259175300598},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6421142816543579},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6106833815574646},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837218165397644},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5790485143661499},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5663237571716309},{"id":"https://openalex.org/keywords/karhunen\u2013lo\u00e8ve-theorem","display_name":"Karhunen\u2013Lo\u00e8ve theorem","score":0.5450192093849182},{"id":"https://openalex.org/keywords/robust-principal-component-analysis","display_name":"Robust principal component analysis","score":0.5396158695220947},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4697841703891754},{"id":"https://openalex.org/keywords/sparse-pca","display_name":"Sparse PCA","score":0.45783117413520813},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.440046489238739},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4096810817718506},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37157100439071655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35630470514297485}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7485259175300598},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6421142816543579},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6106833815574646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837218165397644},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5790485143661499},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5663237571716309},{"id":"https://openalex.org/C109308471","wikidata":"https://www.wikidata.org/wiki/Q2046647","display_name":"Karhunen\u2013Lo\u00e8ve theorem","level":2,"score":0.5450192093849182},{"id":"https://openalex.org/C2777749129","wikidata":"https://www.wikidata.org/wiki/Q17148469","display_name":"Robust principal component analysis","level":3,"score":0.5396158695220947},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4697841703891754},{"id":"https://openalex.org/C24252448","wikidata":"https://www.wikidata.org/wiki/Q7573786","display_name":"Sparse PCA","level":3,"score":0.45783117413520813},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.440046489238739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4096810817718506},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37157100439071655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35630470514297485},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6499999761581421,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W50417968","https://openalex.org/W1966096622","https://openalex.org/W1999136078","https://openalex.org/W2071159364","https://openalex.org/W2131628350","https://openalex.org/W2262232454","https://openalex.org/W2594059414","https://openalex.org/W2738537049","https://openalex.org/W2766819285","https://openalex.org/W2796165036","https://openalex.org/W2807764928","https://openalex.org/W2886755267","https://openalex.org/W2906988372","https://openalex.org/W2931860578","https://openalex.org/W2940852534","https://openalex.org/W2963885538","https://openalex.org/W2964214749","https://openalex.org/W6750832535","https://openalex.org/W6761703539"],"related_works":["https://openalex.org/W2302215559","https://openalex.org/W2463344124","https://openalex.org/W107071865","https://openalex.org/W2145962650","https://openalex.org/W4283792950","https://openalex.org/W2951443864","https://openalex.org/W2791609404","https://openalex.org/W2565806648","https://openalex.org/W2405786797","https://openalex.org/W2115608034"],"abstract_inverted_index":{"High-dimensional":[0],"data":[1,25],"structures,":[2],"known":[3],"as":[4,99,150],"tensors,":[5],"are":[6],"fundamental":[7],"in":[8,75,118,121,154],"many":[9],"applications,":[10],"including":[11],"multispectral":[12],"imaging":[13],"and":[14,45,51,91,112,126],"color":[15],"video":[16],"processing.":[17],"Compression":[18],"of":[19,23,30,36,38,53,89,105,108,166],"such":[20],"huge":[21],"amount":[22],"multidimensional":[24],"collected":[26],"over":[27],"time":[28],"is":[29,163],"paramount":[31],"importance,":[32],"necessitating":[33],"the":[34,49,97,106,143,160],"process":[35],"quantization":[37,125],"measurements":[39],"into":[40],"discrete":[41],"values.":[42],"Furthermore,":[43],"noise":[44],"issues":[46],"related":[47],"to":[48,57,77],"acquisition":[50],"transmission":[52],"signals":[54],"frequently":[55],"lead":[56],"unobserved,":[58],"lost":[59],"or":[60],"corrupted":[61,93],"measurements.":[62],"In":[63],"this":[64],"paper,":[65],"we":[66],"introduce":[67],"a":[68,79,85,100,109,113,124,155],"tensor":[69,80,111],"robust":[70],"principal":[71],"component":[72],"analysis":[73],"algorithm":[74],"order":[76],"recover":[78],"with":[81,123,142],"real-valued":[82],"entries":[83],"from":[84],"partly":[86],"observed":[87],"set":[88],"quantized":[90,144],"sparsely":[92],"entries.":[94],"We":[95],"formulate":[96],"problem":[98],"constrained":[101],"maximum":[102],"likelihood":[103],"estimation":[104],"sum":[107],"low-rank":[110],"sparse":[114],"tensor,":[115],"through":[116],"matricizations":[117],"each":[119],"mode,":[120],"combination":[122],"statistical":[127],"measurement":[128],"model.":[129],"Experimental":[130],"results":[131,153],"on":[132],"satellite":[133],"derived":[134],"land":[135],"surface":[136],"time-series":[137],"demonstrate":[138],"that":[139],"directly":[140],"operating":[141],"measurements,":[145],"rather":[146],"than":[147],"treating":[148],"them":[149],"real":[151],"values,":[152],"low":[156],"recovery":[157],"error,":[158],"while":[159],"proposed":[161],"method":[162],"also":[164],"capable":[165],"detecting":[167],"temperature":[168],"anomalies":[169],"(e.g.,":[170],"forest":[171],"fires).":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}