{"id":"https://openalex.org/W2020996330","doi":"https://doi.org/10.1109/ijcnn.2013.6706723","title":"Learning topological image transforms using cellular simultaneous recurrent networks","display_name":"Learning topological image transforms using cellular simultaneous recurrent networks","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2020996330","doi":"https://doi.org/10.1109/ijcnn.2013.6706723","mag":"2020996330"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2013.6706723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5047514152","display_name":"J. Keith Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I94658018","display_name":"University of Memphis","ror":"https://ror.org/01cq23130","country_code":"US","type":"education","lineage":["https://openalex.org/I94658018"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Keith Anderson","raw_affiliation_strings":["Department of Electrical & Computer Engineering, University of Memphis","Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Memphis","institution_ids":["https://openalex.org/I94658018"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Univ. of Memphis, Memphis, TN, USA","institution_ids":["https://openalex.org/I94658018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081863591","display_name":"Khan M. Iftekharuddin","orcid":"https://orcid.org/0000-0001-8316-4163"},"institutions":[{"id":"https://openalex.org/I81365321","display_name":"Old Dominion University","ror":"https://ror.org/04zjtrb98","country_code":"US","type":"education","lineage":["https://openalex.org/I81365321"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khan M. Iftekharuddin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Old Dominion University","[Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Old Dominion University","institution_ids":["https://openalex.org/I81365321"]},{"raw_affiliation_string":"[Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA]","institution_ids":["https://openalex.org/I81365321"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6864,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6798614,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7442","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9761000275611877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.8372513651847839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490083336830139},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.5998495817184448},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5661260485649109},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5608608722686768},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.5549114346504211},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5498721599578857},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5044461488723755},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.49543941020965576},{"id":"https://openalex.org/keywords/cellular-neural-network","display_name":"Cellular neural network","score":0.4555470049381256},{"id":"https://openalex.org/keywords/image-translation","display_name":"Image translation","score":0.4253571927547455},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4238494634628296},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.41867485642433167},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35933738946914673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2909824550151825},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.14938020706176758},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06553250551223755}],"concepts":[{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.8372513651847839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490083336830139},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.5998495817184448},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5661260485649109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5608608722686768},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.5549114346504211},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5498721599578857},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5044461488723755},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.49543941020965576},{"id":"https://openalex.org/C812465","wikidata":"https://www.wikidata.org/wiki/Q5058375","display_name":"Cellular neural network","level":3,"score":0.4555470049381256},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.4253571927547455},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4238494634628296},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.41867485642433167},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35933738946914673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2909824550151825},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.14938020706176758},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06553250551223755},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2013.6706723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2013.6706723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2013 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1581808154","https://openalex.org/W1841450225","https://openalex.org/W2017571220","https://openalex.org/W2022203019","https://openalex.org/W2024390075","https://openalex.org/W2040870580","https://openalex.org/W2056717940","https://openalex.org/W2063712463","https://openalex.org/W2088869937","https://openalex.org/W2130520926","https://openalex.org/W2140085497","https://openalex.org/W2147555557","https://openalex.org/W2149009003","https://openalex.org/W2154831127","https://openalex.org/W2160121923","https://openalex.org/W2165397309","https://openalex.org/W2172733085","https://openalex.org/W2241515501","https://openalex.org/W2336416123","https://openalex.org/W4240744150","https://openalex.org/W4252723599","https://openalex.org/W6682710126","https://openalex.org/W6683695198"],"related_works":["https://openalex.org/W3186605777","https://openalex.org/W2155373706","https://openalex.org/W3107295340","https://openalex.org/W2574769845","https://openalex.org/W146855993","https://openalex.org/W2220864757","https://openalex.org/W3080815883","https://openalex.org/W2375020395","https://openalex.org/W2794758705","https://openalex.org/W1984518505"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"investigate":[4],"cellular":[5],"simultaneous":[6],"recurrent":[7],"networks":[8,44],"(CSRNs)":[9],"to":[10],"learn":[11],"topological":[12,91],"image":[13,23,27,49,60],"mappings,":[14],"particularly":[15],"those":[16],"of":[17,41,71,85],"the":[18,53,81],"affine":[19,22],"transformations.":[20,92],"While":[21],"transformation":[24],"in":[25],"conventional":[26],"processing":[28,61],"is":[29,37,83],"a":[30],"relatively":[31],"simple":[32],"task,":[33],"learning":[34,86],"these":[35,89],"transformations":[36],"an":[38],"important":[39],"part":[40],"having":[42],"neural":[43],"(NNs)":[45],"function":[46],"as":[47],"generalized":[48],"processors.":[50],"We":[51,63],"introduce":[52],"CSRN":[54,82],"and":[55,69,74,87],"discuss":[56],"its":[57],"adaptation":[58],"for":[59,66],"tasks.":[62],"report":[64],"results":[65,78],"translation,":[67],"rotation":[68],"scaling":[70],"both":[72],"binary":[73],"grey-scale":[75],"images.":[76],"Our":[77],"suggest":[79],"that":[80],"capable":[84],"performing":[88],"basic":[90]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
