{"id":"https://openalex.org/W4372266982","doi":"https://doi.org/10.1109/icassp49357.2023.10096452","title":"Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling","display_name":"Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266982","doi":"https://doi.org/10.1109/icassp49357.2023.10096452"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10096452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5049314597","display_name":"Emiri Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"E. Kobayashi","raw_affiliation_strings":["Niigata Univ,Graduate School of Sci. &#x0026; Tech,Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ,Graduate School of Sci. &#x0026; Tech,Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027556251","display_name":"Hidenori Yasuda","orcid":"https://orcid.org/0009-0007-8207-8504"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Yasuda","raw_affiliation_strings":["Niigata Univ,Research Inst. for Natural Hazards &#x0026; Disaster Recovery,Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ,Research Inst. for Natural Hazards &#x0026; Disaster Recovery,Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040640168","display_name":"K. Hayasaka","orcid":"https://orcid.org/0000-0002-6347-433X"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Hayasaka","raw_affiliation_strings":["Niigata Univ,Faculty of Sci,Japan","Faculty of Sci, Niigata Univ, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ,Faculty of Sci,Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Faculty of Sci, Niigata Univ, Japan","institution_ids":["https://openalex.org/I71395657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089156217","display_name":"Yurie Otake","orcid":"https://orcid.org/0000-0002-7607-4132"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Otake","raw_affiliation_strings":["Tohoku Univ,Dept. of Civil and Environmental Eng,Japan","Dept. of Civil and Environmental Eng, Tohoku Univ, Japan"],"affiliations":[{"raw_affiliation_string":"Tohoku Univ,Dept. of Civil and Environmental Eng,Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"Dept. of Civil and Environmental Eng, Tohoku Univ, Japan","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013731608","display_name":"Satoshi Ono","orcid":"https://orcid.org/0000-0001-5631-5923"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Ono","raw_affiliation_strings":["Tokyo Institute of Tech,Dept. of Computer Science,Japan","Dept. of Computer Science, Tokyo Institute of Tech, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Tech,Dept. of Computer Science,Japan","institution_ids":["https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Tech, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070966533","display_name":"Shogo Muramatsu","orcid":"https://orcid.org/0000-0002-2990-1238"},"institutions":[{"id":"https://openalex.org/I71395657","display_name":"Niigata University","ror":"https://ror.org/04ww21r56","country_code":"JP","type":"education","lineage":["https://openalex.org/I71395657"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Muramatsu","raw_affiliation_strings":["Niigata Univ,Faculty of Eng,Japan","Faculty of Eng, Niigata Univ, Japan"],"affiliations":[{"raw_affiliation_string":"Niigata Univ,Faculty of Eng,Japan","institution_ids":["https://openalex.org/I71395657"]},{"raw_affiliation_string":"Faculty of Eng, Niigata Univ, Japan","institution_ids":["https://openalex.org/I71395657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5049314597"],"corresponding_institution_ids":["https://openalex.org/I71395657"],"apc_list":null,"apc_paid":null,"fwci":1.7023,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.86789136,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10577","display_name":"Hydrology and Sediment Transport Processes","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7663062810897827},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5167290568351746},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.4876655340194702},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47213274240493774},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4721039831638336},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06708565354347229}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7663062810897827},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5167290568351746},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.4876655340194702},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47213274240493774},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4721039831638336},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06708565354347229},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10096452","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10096452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:50647141","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100887350","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1547941176","https://openalex.org/W1591018827","https://openalex.org/W1998991750","https://openalex.org/W2009745212","https://openalex.org/W2014356541","https://openalex.org/W2041658927","https://openalex.org/W2128201718","https://openalex.org/W2168222921","https://openalex.org/W2516731600","https://openalex.org/W2558879954","https://openalex.org/W2620738053","https://openalex.org/W2620976957","https://openalex.org/W2784967614","https://openalex.org/W2963818575","https://openalex.org/W3160894432","https://openalex.org/W3197252113","https://openalex.org/W4220986848","https://openalex.org/W4238160257","https://openalex.org/W4286781802","https://openalex.org/W6739013531"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"work":[1,44,78],"proposes":[2,79],"a":[3,13,19,25,59,87],"novel":[4],"formulation":[5],"of":[6,49,68,95,108,116,123,134],"convolutional-sparse-coded":[7],"dynamic":[8],"mode":[9],"decomposition":[10],"(CSC-DMD)":[11],"incorporating":[12],"deep":[14,88],"learning":[15,89],"framework.":[16],"CSC-DMD":[17,50],"is":[18,102,112],"high-dimensional":[20],"data":[21,122],"analysis":[22],"method":[23,111],"with":[24],"convolutional":[26,83],"synthesis":[27],"dictionary":[28,84],"and":[29,38,70,99,126],"applicable":[30],"to":[31,61,80,104],"analyze":[32],"dynamics":[33],"such":[34],"as":[35],"seismic":[36],"motions":[37],"river":[39,135],"flows.":[40],"An":[41],"authors\u2019":[42],"previous":[43],"has":[45],"shown":[46],"the":[47,63,93,109],"effectiveness":[48],"for":[51,120],"riverbed":[52,74,117,127],"state":[53,118],"estimation.":[54],"However,":[55],"there":[56],"still":[57],"remains":[58],"room":[60],"improve":[62],"performance":[64],"in":[65,73],"expressing":[66],"evolution":[67],"temporal":[69],"spatial":[71],"changes":[72],"shape.":[75],"Hence,":[76],"this":[77],"adopt":[81],"multi-resolution":[82],"by":[85,114],"introducing":[86],"framework":[90],"so":[91],"that":[92],"capability":[94],"simultaneously":[96],"capturing":[97],"local":[98],"global":[100],"features":[101],"added":[103],"CSC-DMD.":[105],"The":[106],"significance":[107],"proposed":[110],"verified":[113],"evaluation":[115],"estimation":[119],"time-series":[121],"water":[124],"surface":[125],"shape":[128],"obtained":[129],"through":[130],"an":[131],"experimental":[132],"setup":[133],"model.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
