{"id":"https://openalex.org/W2064562747","doi":"https://doi.org/10.1109/ssp.2012.6319687","title":"Reconstruction of seismic data via tensor completion","display_name":"Reconstruction of seismic data via tensor completion","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2064562747","doi":"https://doi.org/10.1109/ssp.2012.6319687","mag":"2064562747"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2012.6319687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","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/A5063452065","display_name":"Nadia Kreimer","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nadia Kreimer","raw_affiliation_strings":["Department of Physics, University of Alberta, Edmonton, AB, Canada","Department of Physics, University of Alberta, 4-183 CCIS, Edmonton, T6G 2E1, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Physics, University of Alberta, 4-183 CCIS, Edmonton, T6G 2E1, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007988581","display_name":"Mauricio D. Sacchi","orcid":"https://orcid.org/0000-0001-6654-6661"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mauricio D. Sacchi","raw_affiliation_strings":["Department of Physics, University of Alberta, Edmonton, AB, Canada","Department of Physics, University of Alberta, 4-183 CCIS, Edmonton, T6G 2E1, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Physics, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Department of Physics, University of Alberta, 4-183 CCIS, Edmonton, T6G 2E1, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5063452065"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":0.4734,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62619808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12603","display_name":"NMR spectroscopy and applications","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/3106","display_name":"Nuclear and High Energy Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.782109797000885},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.6823728680610657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5107927322387695},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5101187825202942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5059482455253601},{"id":"https://openalex.org/keywords/singular-value","display_name":"Singular value","score":0.45307067036628723},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4428456723690033},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.43241140246391296},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.42882055044174194},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.4193539619445801},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.41254565119743347},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39799439907073975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2651976943016052},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1574651300907135},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12134113907814026},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09904497861862183},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08263078331947327}],"concepts":[{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.782109797000885},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.6823728680610657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5107927322387695},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5101187825202942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5059482455253601},{"id":"https://openalex.org/C109282560","wikidata":"https://www.wikidata.org/wiki/Q4166054","display_name":"Singular value","level":3,"score":0.45307067036628723},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4428456723690033},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.43241140246391296},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.42882055044174194},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.4193539619445801},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.41254565119743347},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39799439907073975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2651976943016052},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1574651300907135},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12134113907814026},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09904497861862183},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08263078331947327},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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":1,"locations":[{"id":"doi:10.1109/ssp.2012.6319687","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2012.6319687","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1615057313","https://openalex.org/W1999085762","https://openalex.org/W2004026774","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2066539310","https://openalex.org/W2077776321","https://openalex.org/W2105519919","https://openalex.org/W2112029411","https://openalex.org/W2118682956","https://openalex.org/W2120077398","https://openalex.org/W2125329377","https://openalex.org/W2141280932","https://openalex.org/W2141953966","https://openalex.org/W3040791079"],"related_works":["https://openalex.org/W4319586039","https://openalex.org/W4382583540","https://openalex.org/W1607100495","https://openalex.org/W1990844505","https://openalex.org/W2148568324","https://openalex.org/W4386721910","https://openalex.org/W4378770618","https://openalex.org/W2038393145","https://openalex.org/W2782904003","https://openalex.org/W2164147222"],"abstract_inverted_index":{"We":[0,32],"describe":[1],"the":[2,12,20,62],"use":[3],"of":[4,14],"a":[5,28,57],"higher-order":[6],"singular":[7],"value":[8],"decomposition":[9],"(HOSVD)":[10],"in":[11,19],"reconstruction":[13],"seismic":[15],"volumes.":[16],"Seismic":[17],"data":[18,52],"frequency":[21],"-":[22],"space":[23],"domain":[24],"are":[25],"represented":[26,55],"via":[27,61],"4-th":[29],"order":[30],"tensor.":[31],"present":[33],"an":[34],"iterative":[35],"algorithm":[36,47],"that":[37,49],"permits":[38],"to":[39],"simultaneously":[40],"de-noise":[41],"and":[42],"recover":[43],"missing":[44],"observations.":[45],"The":[46],"assumes":[48],"4D":[50],"spatial":[51],"can":[53],"be":[54],"by":[56],"low-rank":[58],"tensor":[59],"computed":[60],"Higher-Order":[63],"Singular":[64],"Value":[65],"Decomposition":[66],"(HOSVD).":[67]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}