乐胖代购免代理版

{"id":"https://openalex.org/W2131337587","doi":"https://doi.org/10.1109/icpr.2000.903663","title":"Probabilistic estimation of local scale","display_name":"Probabilistic estimation of local scale","publication_year":2002,"publication_date":"2002-11-11","ids":{"openalex":"https://openalex.org/W2131337587","doi":"https://doi.org/10.1109/icpr.2000.903663","mag":"2131337587"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2000.903663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5112571740","display_name":"G. Gomez","orcid":null},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"funder","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"G. Gomez","raw_affiliation_strings":["ITESM, Cuernavaca, Morelos, Mexico"],"affiliations":[{"raw_affiliation_string":"ITESM, Cuernavaca, Morelos, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110033332","display_name":"Jos\u00e9 L. Marroqu\u00edn","orcid":null},"institutions":[{"id":"https://openalex.org/I124618812","display_name":"Mathematics Research Center","ror":"https://ror.org/02nhmp827","country_code":"MX","type":"facility","lineage":["https://openalex.org/I124618812"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"J.L. Marroquin","raw_affiliation_strings":["CIMAT, Guanajuato, Mexico"],"affiliations":[{"raw_affiliation_string":"CIMAT, Guanajuato, Mexico","institution_ids":["https://openalex.org/I124618812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044189592","display_name":"L. Enrique Sucar","orcid":"https://orcid.org/0000-0002-3685-5567"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"funder","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"L.E. Sucar","raw_affiliation_strings":["ITESM, Cuernavaca, Morelos, Mexico"],"affiliations":[{"raw_affiliation_string":"ITESM, Cuernavaca, Morelos, Mexico","institution_ids":["https://openalex.org/I98461037"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.174,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":12,"citation_normalized_percentile":{"value":0.774315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9989,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9989,"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":0.9989,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9917,"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/scale-space","display_name":"Scale space","score":0.5817549}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6014431},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.59001815},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.5817549},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5761524},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.55558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5372064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49920177},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.44397283},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44397283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40879342},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.40566555},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3957785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39448455},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28080702},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2000.903663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1905626974","https://openalex.org/W2002476439","https://openalex.org/W2022735534","https://openalex.org/W2033244081","https://openalex.org/W2104564430","https://openalex.org/W2105364438","https://openalex.org/W2106596127","https://openalex.org/W2109200236","https://openalex.org/W2109863423","https://openalex.org/W2115304588","https://openalex.org/W2133155955","https://openalex.org/W2150134853","https://openalex.org/W2155487652"],"related_works":["https://openalex.org/W4391013256","https://openalex.org/W4233449973","https://openalex.org/W2949601986","https://openalex.org/W2925692864","https://openalex.org/W2788972299","https://openalex.org/W2768526084","https://openalex.org/W2729981612","https://openalex.org/W2560215812","https://openalex.org/W2521347458","https://openalex.org/W2498789492"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,13,39],"probabilistic":[3],"approach":[4,87],"for":[5,43,49],"local":[6,72],"scale":[7,17,36,53],"selection.":[8],"The":[9,52],"proposed":[10],"method":[11],"computes":[12],"probability":[14],"measure":[15],"on":[16,22,57],"space,":[18],"which":[19],"is":[20],"based":[21,56],"Bayesian":[23],"estimation":[24],"theory,":[25],"and":[26,47,74,95,101],"it":[27],"leads":[28],"to":[29,92,97],"an":[30],"efficient":[31],"computational":[32],"implementation.":[33],"At":[34],"each":[35],"we":[37],"associate":[38],"decomposition":[40],"likelihood,":[41],"one":[42],"the":[44,50,58,64,67,71,76,80],"smoothed":[45],"image":[46,69],"other":[48],"residual.":[51,81],"selection":[54],"method,":[55],"minimal":[59],"description":[60],"length":[61],"principle,":[62],"maximizes":[63],"likelihood":[65],"of":[66],"observed":[68],"given":[70],"scale,":[73],"at":[75],"same":[77],"time,":[78],"minimizes":[79],"Initial":[82],"experiments":[83],"show":[84],"that":[85],"our":[86],"can":[88],"be":[89],"successfully":[90],"applied":[91],"edge":[93],"detection,":[94],"also":[96],"adaptive":[98],"Gaussian":[99],"filtering":[100],"texture":[102],"segmentation.":[103]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2131337587","counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-04-22T06:22:51.009303","created_date":"2016-06-24"}