{"id":"https://openalex.org/W4402261355","doi":"https://doi.org/10.1109/igarss53475.2024.10641244","title":"Differentiable Boundary Regularization","display_name":"Differentiable Boundary Regularization","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4402261355","doi":"https://doi.org/10.1109/igarss53475.2024.10641244"},"language":"en","primary_location":{"id":"doi:10.1109/igarss53475.2024.10641244","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","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/A5098955448","display_name":"Selen \u00c7i\u011fdem","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Selen \u00c7i\u011fdem","raw_affiliation_strings":["nFrames,Esri,Stuttgart,Germany"],"affiliations":[{"raw_affiliation_string":"nFrames,Esri,Stuttgart,Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070952998","display_name":"Fatih Nar","orcid":"https://orcid.org/0000-0002-3003-8136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fatih Nar","raw_affiliation_strings":["Zibumi,Esri,Ankara,T&#x00FC;rkiye"],"affiliations":[{"raw_affiliation_string":"Zibumi,Esri,Ankara,T&#x00FC;rkiye","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111216556","display_name":"Dmitry Kudinov","orcid":null},"institutions":[{"id":"https://openalex.org/I1292842697","display_name":"Environmental Systems Research Institute (United States)","ror":"https://ror.org/0428exr50","country_code":"US","type":"company","lineage":["https://openalex.org/I1292842697"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitry Kudinov","raw_affiliation_strings":["Redlands,Esri,California,USA"],"affiliations":[{"raw_affiliation_string":"Redlands,Esri,California,USA","institution_ids":["https://openalex.org/I1292842697"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5098955448"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1415137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4662","last_page":"4665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9965999722480774,"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"}},{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9951000213623047,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6143217086791992},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.51630038022995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4912492632865906},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.41255858540534973},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3847258985042572},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33577823638916016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33198082447052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3006708025932312},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.26188766956329346}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6143217086791992},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.51630038022995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4912492632865906},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.41255858540534973},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3847258985042572},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33577823638916016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33198082447052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3006708025932312},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.26188766956329346}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/igarss53475.2024.10641244","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/igarss53475.2024.10641244","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium","raw_type":"proceedings-article"},{"id":"pmh:3b4f3522-ac89-4c3f-8c81-f3faf840828d","is_oa":false,"landing_page_url":"https://avesis.aybu.edu.tr/publication/details/3b4f3522-ac89-4c3f-8c81-f3faf840828d/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055213","display_name":"AYBU AVESIS","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":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1579277991","https://openalex.org/W1977003762","https://openalex.org/W1999478155","https://openalex.org/W2057175746","https://openalex.org/W2246846517","https://openalex.org/W2786260955","https://openalex.org/W2900516025","https://openalex.org/W2983286385","https://openalex.org/W3100326637","https://openalex.org/W3138036807","https://openalex.org/W4283786749","https://openalex.org/W4301014524","https://openalex.org/W6713406649"],"related_works":["https://openalex.org/W4285277090","https://openalex.org/W4327738859","https://openalex.org/W2348722996","https://openalex.org/W2334570605","https://openalex.org/W3181683615","https://openalex.org/W4286826125","https://openalex.org/W1633485514","https://openalex.org/W1604739066","https://openalex.org/W2115878407","https://openalex.org/W1980454230"],"abstract_inverted_index":{"This":[0],"study":[1],"presents":[2],"a":[3,18,24,74,79,128],"new":[4],"boundary":[5,36,41,52,59],"regularization":[6,37],"algorithm":[7],"for":[8,142],"linearizing":[9],"closed":[10],"boundaries":[11],"defined":[12],"as":[13,127],"adjacent":[14],"vertices.":[15],"By":[16],"minimizing":[17],"novel":[19],"cost":[20,64],"function":[21,65],"consisting":[22],"of":[23,97,137],"L<inf":[25,33,54],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[26,34,55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>-norm":[27],"data":[28,109],"fidelity":[29,45],"term":[30,46],"and":[31,107,150],"non-differentiable":[32],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</inf>-norm":[35,56],"term,":[38],"given":[39,51],"noisy":[40],"is":[42,66,88,100,146],"linearized.":[43],"Data":[44],"enforces":[47,57],"similarity":[48],"to":[49,73,113,118],"the":[50,98,103,121,135],"while":[53],"linearized":[58],"with":[60,102],"sharp":[61],"corners.":[62],"Proposed":[63],"made":[67],"differentiable":[68],"via":[69],"quadratic":[70],"approximation,":[71],"leading":[72],"linear":[75,86],"system":[76,87],"characterized":[77],"by":[78],"sparse":[80],"symmetric":[81],"positive":[82],"definite":[83],"matrix.":[84],"Obtained":[85],"efficiently":[89],"solved":[90],"using":[91],"an":[92],"iterative":[93],"solver.":[94],"Finally,":[95],"applicability":[96],"method":[99,123],"demonstrated":[101],"tests":[104],"on":[105],"real-world":[106],"synthetic":[108],"sets.":[110],"In":[111],"addition":[112],"its":[114,119],"standalone":[115],"application,":[116],"owing":[117],"differentiability,":[120],"proposed":[122],"can":[124],"also":[125],"serve":[126],"layer":[129],"within":[130],"deep":[131],"neural":[132],"networks,":[133],"enabling":[134],"creation":[136],"loss":[138],"functions":[139],"tailored":[140],"specifically":[141],"vector":[143],"outputs":[144],"which":[145],"useful":[147],"in":[148],"image":[149],"point":[151],"cloud":[152],"analysis.":[153]},"counts_by_year":[],"updated_date":"2026-03-05T09:29:38.588285","created_date":"2025-10-10T00:00:00"}