{"id":"https://openalex.org/W3008281579","doi":"https://doi.org/10.1109/bigdata47090.2019.9006597","title":"Spatio-temporal classification at multiple resolutions using multi-view regularization","display_name":"Spatio-temporal classification at multiple resolutions using multi-view regularization","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008281579","doi":"https://doi.org/10.1109/bigdata47090.2019.9006597","mag":"3008281579"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","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/A5056192424","display_name":"Guruprasad Nayak","orcid":"https://orcid.org/0000-0002-3923-0298"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Guruprasad Nayak","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106666882","display_name":"Rahul Ghosh","orcid":"https://orcid.org/0000-0001-7644-6568"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rahul Ghosh","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001445783","display_name":"Xiaowei Jia","orcid":"https://orcid.org/0000-0001-8544-5233"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaowei Jia","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043464710","display_name":"Varun Mithal","orcid":"https://orcid.org/0000-0003-2662-6936"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Varun Mithal","raw_affiliation_strings":["LinkedIn, Sunnyvale, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100645812","display_name":"Vipin Kumar","orcid":"https://orcid.org/0000-0002-9040-2665"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vipin Kumar","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5056192424"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27148381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51 4","issue":null,"first_page":"4117","last_page":"4120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9884999990463257,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9884999990463257,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9592999815940857,"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":0.7152426242828369},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.7027093768119812},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.657922089099884},{"id":"https://openalex.org/keywords/raster-graphics","display_name":"Raster graphics","score":0.6438835859298706},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5086029767990112},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5039138197898865},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.49205249547958374},{"id":"https://openalex.org/keywords/raster-data","display_name":"Raster data","score":0.4834628701210022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41982126235961914},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33202990889549255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7152426242828369},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.7027093768119812},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.657922089099884},{"id":"https://openalex.org/C181844469","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster graphics","level":2,"score":0.6438835859298706},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5086029767990112},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5039138197898865},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.49205249547958374},{"id":"https://openalex.org/C2692088","wikidata":"https://www.wikidata.org/wiki/Q182270","display_name":"Raster data","level":3,"score":0.4834628701210022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41982126235961914},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33202990889549255},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata47090.2019.9006597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2064390898","https://openalex.org/W2125479168","https://openalex.org/W2160342298","https://openalex.org/W2162685317","https://openalex.org/W2318160089","https://openalex.org/W2410883106","https://openalex.org/W2444162119","https://openalex.org/W2622626827","https://openalex.org/W2742706476","https://openalex.org/W2750161677","https://openalex.org/W2768915865","https://openalex.org/W2782817750","https://openalex.org/W2802362396","https://openalex.org/W2912279724","https://openalex.org/W2944014586","https://openalex.org/W2944361765","https://openalex.org/W2963214893","https://openalex.org/W3201616131","https://openalex.org/W6739105376","https://openalex.org/W6746167464","https://openalex.org/W6758938078"],"related_works":["https://openalex.org/W1997953140","https://openalex.org/W4245508207","https://openalex.org/W2996808565","https://openalex.org/W2371122778","https://openalex.org/W1488652151","https://openalex.org/W2026066822","https://openalex.org/W2768758348","https://openalex.org/W3102510374","https://openalex.org/W2954918491","https://openalex.org/W1964658094"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"present":[4],"a":[5,54],"multi-view":[6,41,90],"framework":[7],"to":[8,64],"classify":[9],"spatio-temporal":[10],"phenomena":[11],"at":[12],"multiple":[13],"resolutions.":[14],"This":[15],"approach":[16],"utilizes":[17],"the":[18,27,44,70,85,88],"complementarity":[19],"of":[20,33,73,87],"features":[21],"across":[22,59],"different":[23,60],"resolutions":[24],"and":[25],"improves":[26],"corresponding":[28],"models":[29],"by":[30],"enforcing":[31],"consistency":[32],"their":[34],"predictions":[35],"on":[36,69],"unlabeled":[37],"data.":[38],"Unlike":[39],"traditional":[40],"learning":[42],"problems,":[43],"key":[45],"challenge":[46],"in":[47],"our":[48],"case":[49],"is":[50,53],"that":[51],"there":[52],"many-to-one":[55],"correspondence":[56],"between":[57],"instances":[58],"resolutions,":[61],"which":[62],"needs":[63],"be":[65],"explicitly":[66],"modeled.":[67],"Experiments":[68],"real-world":[71],"application":[72],"mapping":[74],"urban":[75],"areas":[76],"using":[77],"spatial":[78],"raster":[79],"data-sets":[80],"from":[81],"satellite":[82],"observations":[83],"show":[84],"benefits":[86],"proposed":[89],"framework.":[91]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}