{"id":"https://openalex.org/W2170762633","doi":"https://doi.org/10.1145/2666310.2666422","title":"Greedy map generalization by iterative point removal","display_name":"Greedy map generalization by iterative point removal","publication_year":2014,"publication_date":"2014-11-04","ids":{"openalex":"https://openalex.org/W2170762633","doi":"https://doi.org/10.1145/2666310.2666422","mag":"2170762633"},"language":"en","primary_location":{"id":"doi:10.1145/2666310.2666422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2666310.2666422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","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/A5077296151","display_name":"Yanzhe Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhe Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330960","display_name":"Yin Wang","orcid":"https://orcid.org/0000-0001-6810-0962"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yin Wang","raw_affiliation_strings":["Facebook Menlo Park, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook Menlo Park, CA","institution_ids":["https://openalex.org/I4210099336","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543146","display_name":"Rong Chen","orcid":"https://orcid.org/0000-0002-6115-8130"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406213","display_name":"Haibo Chen","orcid":"https://orcid.org/0000-0002-9443-8016"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031955160","display_name":"Binyu Zang","orcid":"https://orcid.org/0000-0002-1968-7645"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binyu Zang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20782464,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9952999949455261,"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/T10996","display_name":"Computational Geometry and Mesh Generation","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/generalization","display_name":"Generalization","score":0.8493754863739014},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6583685874938965},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6480653285980225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6332676410675049},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5915638208389282},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5738073587417603},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47958865761756897},{"id":"https://openalex.org/keywords/line-segment","display_name":"Line segment","score":0.4721256196498871},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.47122323513031006},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4439142346382141},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39418113231658936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3637208342552185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25279974937438965},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.11372953653335571}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.8493754863739014},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6583685874938965},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6480653285980225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6332676410675049},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5915638208389282},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5738073587417603},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47958865761756897},{"id":"https://openalex.org/C182124507","wikidata":"https://www.wikidata.org/wiki/Q166154","display_name":"Line segment","level":2,"score":0.4721256196498871},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.47122323513031006},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4439142346382141},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39418113231658936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3637208342552185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25279974937438965},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.11372953653335571},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2666310.2666422","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2666310.2666422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1633222579","https://openalex.org/W1967295774","https://openalex.org/W1981934656","https://openalex.org/W2118269922","https://openalex.org/W2127874441","https://openalex.org/W2128641067","https://openalex.org/W3010735106","https://openalex.org/W4242599275","https://openalex.org/W4251696430"],"related_works":["https://openalex.org/W4386442742","https://openalex.org/W2353000084","https://openalex.org/W4205730002","https://openalex.org/W2942906518","https://openalex.org/W1623138178","https://openalex.org/W4288363470","https://openalex.org/W2357946356","https://openalex.org/W180294324","https://openalex.org/W3084509788","https://openalex.org/W2353540264"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,27,54],"map":[4],"generalization":[5],"program":[6],"we":[7,69,104],"submitted":[8],"to":[9,21,38,110],"the":[10,18,45,51,60,79,93,98,101,113],"ACM":[11],"SIGSPATIAL":[12],"Cup":[13],"2014.":[14],"In":[15],"this":[16],"competition,":[17],"goal":[19],"is":[20,91],"remove":[22,78],"as":[23,32,34],"many":[24,107],"points":[25,58],"in":[26,92],"set":[28,55],"of":[29,56,88,100],"polygonal":[30],"lines":[31,46,61,90],"quickly":[33],"possible":[35],"with":[36],"respect":[37],"two":[39],"constraints.":[40],"The":[41],"topological":[42],"relationships":[43,52],"among":[44],"must":[47,62],"not":[48,63],"change,":[49],"and":[50,59,77],"between":[53],"control":[57,84],"change.":[64],"Inspired":[65],"by":[66],"Visvalingam-Whyatt":[67],"Algorithm,":[68],"iteratively":[70],"examine":[71],"successive":[72],"triplets":[73],"along":[74],"each":[75],"line,":[76],"middle":[80],"point":[81,85,87],"if":[82],"no":[83],"or":[86],"other":[89],"associated":[94],"triangle.":[95],"Based":[96],"on":[97],"features":[99],"training":[102],"datasets,":[103],"further":[105],"introduce":[106],"optimization":[108],"techniques":[109],"speed":[111],"up":[112],"computation.":[114]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
