{"id":"https://openalex.org/W2608248406","doi":"https://doi.org/10.1109/icpr.2016.7899853","title":"Measuring regularity of network patterns by grid approximations using the LLL algorithm","display_name":"Measuring regularity of network patterns by grid approximations using the LLL algorithm","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2608248406","doi":"https://doi.org/10.1109/icpr.2016.7899853","mag":"2608248406"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5061104387","display_name":"Andr\u00e1s Hajd\u00fa","orcid":"https://orcid.org/0000-0003-1718-9770"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"A. Hajdu","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024867067","display_name":"Bal\u00e1zs Harangi","orcid":"https://orcid.org/0000-0003-4405-2040"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"B. Harangi","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088793488","display_name":"Ren\u00e1t\u00f3 Besenczi","orcid":"https://orcid.org/0000-0002-9601-8824"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"R. Besenczi","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039564142","display_name":"Istv\u00e1n L\u00e1z\u00e1r","orcid":"https://orcid.org/0000-0001-6006-7782"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"I. Lazar","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047361220","display_name":"Gabriella Emri","orcid":"https://orcid.org/0000-0002-2877-4740"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"G. Emri","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035526712","display_name":"Lajos Hajdu","orcid":"https://orcid.org/0000-0003-1651-1238"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"L. Hajdu","raw_affiliation_strings":["University of Debrecen, Debrecen, Hungary"],"affiliations":[{"raw_affiliation_string":"University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110941764","display_name":"R. Tijdeman","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"R. Tijdeman","raw_affiliation_strings":["Mathematical Institute, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Mathematical Institute, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5061104387"],"corresponding_institution_ids":["https://openalex.org/I132735039"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.81787974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1524","last_page":"1529"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9966999888420105,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9966999888420105,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9911999702453613,"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/T11666","display_name":"Color Science and Applications","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"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/computer-science","display_name":"Computer science","score":0.7542813420295715},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.6520055532455444},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5851893424987793},{"id":"https://openalex.org/keywords/hexagonal-crystal-system","display_name":"Hexagonal crystal system","score":0.5356307625770569},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5088227391242981},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5018930435180664},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49906229972839355},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.483379065990448},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.470303475856781},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.4700668752193451},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4618152379989624},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4218474328517914},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.4126434028148651},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.400951623916626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39927124977111816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3612791895866394},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1759178340435028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7542813420295715},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.6520055532455444},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5851893424987793},{"id":"https://openalex.org/C128765274","wikidata":"https://www.wikidata.org/wiki/Q663314","display_name":"Hexagonal crystal system","level":2,"score":0.5356307625770569},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5088227391242981},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5018930435180664},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49906229972839355},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.483379065990448},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.470303475856781},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.4700668752193451},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4618152379989624},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4218474328517914},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.4126434028148651},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.400951623916626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39927124977111816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3612791895866394},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1759178340435028},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icpr.2016.7899853","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899853","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/234373","is_oa":false,"landing_page_url":"http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM067047","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"k\u00f6nyvr\u00e9szlet"},{"id":"pmh:oai:ganymedesd.lib.unideb.hu:2437/234373","is_oa":false,"landing_page_url":"http://hdl.handle.net/2437/234373","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"k\u00f6nyvr\u00e9szlet"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1970792572","https://openalex.org/W1982300822","https://openalex.org/W2014051675","https://openalex.org/W2047062262","https://openalex.org/W2061253660","https://openalex.org/W2092455934","https://openalex.org/W2126413416","https://openalex.org/W2134484996","https://openalex.org/W2134919037","https://openalex.org/W2141040012","https://openalex.org/W2963693005","https://openalex.org/W6703960465"],"related_works":["https://openalex.org/W2059764809","https://openalex.org/W2263203911","https://openalex.org/W2361398604","https://openalex.org/W2962917430","https://openalex.org/W2028468530","https://openalex.org/W4299801389","https://openalex.org/W2574604093","https://openalex.org/W2775068415","https://openalex.org/W1774334694","https://openalex.org/W1903284337"],"abstract_inverted_index":{"In":[0],"a":[1,7,45,69,116,120],"recent":[2],"work,":[3],"we":[4,26,66,82,126],"have":[5],"proposed":[6],"novel":[8,70],"way":[9],"to":[10,34,134,139],"approximate":[11],"point":[12],"sets":[13],"with":[14,38,92],"grids":[15],"using":[16],"the":[17,40,55,75,78,96,108,124],"LLL":[18],"algorithm,":[19],"which":[20],"operates":[21],"in":[22,60],"polynomial":[23],"time.":[24],"Now,":[25],"show":[27,83],"how":[28,84],"this":[29,64],"approach":[30,106],"can":[31,89],"be":[32,90],"applied":[33,91],"pattern":[35],"recognition":[36,97],"purposes":[37],"interpreting":[39],"rate":[41],"of":[42,57,77,98,104],"approximation":[43,87],"as":[44,143],"new":[46],"feature":[47],"for":[48,74,95,107],"regularity":[49],"measurement.":[50],"Our":[51],"practical":[52,129,141],"problem":[53,112],"is":[54,113],"characterization":[56,111],"pigment":[58,79,109],"networks":[59],"skin":[61],"lesions.":[62],"For":[63],"task":[65],"also":[67],"introduce":[68],"image":[71],"processing":[72],"method":[73],"extraction":[76],"network.":[80],"Then,":[81],"our":[85,105,136],"grid":[86],"framework":[88,138],"specializing":[93],"it":[94],"hexagonal":[99],"patterns.":[100],"The":[101],"classification":[102],"performance":[103],"network":[110],"measured":[114],"on":[115],"database":[117],"annotated":[118],"by":[119],"clinical":[121],"expert.":[122],"Throughout":[123],"paper":[125],"address":[127],"several":[128],"issues":[130],"that":[131],"may":[132],"help":[133],"apply":[135],"general":[137],"other":[140],"tasks,":[142],"well.":[144]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
