乐胖代购免代理版

{"id":"https://openalex.org/W1822592572","doi":"https://doi.org/10.1109/icip.1999.821646","title":"Lossless image compression based on an enhanced fuzzy regression prediction","display_name":"Lossless image compression based on an enhanced fuzzy regression prediction","publication_year":2003,"publication_date":"2003-01-20","ids":{"openalex":"https://openalex.org/W1822592572","doi":"https://doi.org/10.1109/icip.1999.821646","mag":"1822592572"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.1999.821646","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/A5035398406","display_name":"Bruno Aiazzi","orcid":"https://orcid.org/0000-0003-3933-2320"},"institutions":[],"countries":["IT"],"is_corresponding":false,"raw_author_name":"B. Aiazzi","raw_affiliation_strings":["CNR, Firenze, Italy"],"affiliations":[{"raw_affiliation_string":"CNR, Firenze, Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061007254","display_name":"Stefano Baronti","orcid":"https://orcid.org/0000-0003-0492-0886"},"institutions":[{"id":"https://openalex.org/I4210092323","display_name":"Nello Carrara Institute of Applied Physics","ror":"https://ror.org/00dqega85","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210092323","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Baronti","raw_affiliation_strings":["Nello Carrara I.R.O.E.-C.N.R, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Nello Carrara I.R.O.E.-C.N.R, Florence, Italy","institution_ids":["https://openalex.org/I4210092323"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052624884","display_name":"Luciano Alparone","orcid":"https://orcid.org/0000-0002-8984-938X"},"institutions":[{"id":"https://openalex.org/I45084792","display_name":"University of Florence","ror":"https://ror.org/04jr1s763","country_code":"IT","type":"funder","lineage":["https://openalex.org/I45084792"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"L. Alparone","raw_affiliation_strings":["Department Electron. Engin, University of Florence, Florence, Italy"],"affiliations":[{"raw_affiliation_string":"Department Electron. Engin, University of Florence, Florence, Italy","institution_ids":["https://openalex.org/I45084792"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.822,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":9,"citation_normalized_percentile":{"value":0.586246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":79,"max":80},"biblio":{"volume":"1","issue":null,"first_page":"435","last_page":"439"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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/T10901","display_name":"Advanced Data Compression Techniques","score":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.997,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9908,"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/linear-prediction","display_name":"Linear prediction","score":0.44974616}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7410975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60699475},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5799657},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.57479686},{"id":"https://openalex.org/C1769480","wikidata":"https://www.wikidata.org/wiki/Q1345239","display_name":"Entropy encoding","level":3,"score":0.5489429},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.5290842},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49997497},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49453756},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4633437},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.44974616},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.435853},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43506783},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43479478},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41802022},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.41780123},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39052123},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30306345},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28510308},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.17383441},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15569651},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.1999.821646","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":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.49}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":11,"referenced_works":["https://openalex.org/W1496489693","https://openalex.org/W1520535452","https://openalex.org/W1548761446","https://openalex.org/W1663870403","https://openalex.org/W2033334210","https://openalex.org/W2096445898","https://openalex.org/W2101490159","https://openalex.org/W2113076747","https://openalex.org/W2113801896","https://openalex.org/W2138674095","https://openalex.org/W2162445324"],"related_works":["https://openalex.org/W4210455546","https://openalex.org/W3210332869","https://openalex.org/W3156493487","https://openalex.org/W2948148442","https://openalex.org/W2751842002","https://openalex.org/W2161981399","https://openalex.org/W2096442341","https://openalex.org/W2096000848","https://openalex.org/W1901494946","https://openalex.org/W1513042817"],"abstract_inverted_index":{"An":[0],"effective":[1],"method":[2],"for":[3],"lossless":[4],"image":[5],"compression":[6],"is":[7,37,74],"presented.":[8],"It":[9],"relies":[10],"on":[11],"a":[12,38,65],"classified":[13],"linear-regression":[14],"prediction":[15,28,62,73],"obtained":[16],"through":[17],"fuzzy":[18,42],"techniques,":[19],"followed":[20],"by":[21,96],"context":[22,127],"based":[23],"modeling":[24],"of":[25,40,51,72,79,88,117],"the":[26,41,70,100,115],"outcome":[27],"errors,":[29],"to":[30,57,90,114,126],"enhance":[31],"entropy":[32],"coding.":[33],"The":[34,108],"present":[35],"scheme":[36],"reworking":[39],"encoder":[43,109],"presented":[44],"at":[45],"ICIP'98":[46],"(FDC).":[47],"Now,":[48],"predictors,":[49],"instead":[50],"pixel":[52],"intensity":[53],"patterns,":[54],"are":[55],"fuzzy-clustered":[56],"find":[58],"out":[59],"optimized":[60],"MMSE":[61],"classes,":[63],"and":[64,77,98,105],"novel":[66],"membership":[67],"function":[68],"measuring":[69],"fitness":[71],"adopted.":[75],"Size":[76],"shape":[78],"causal":[80],"neighborhoods":[81],"supporting":[82],"prediction,":[83],"as":[84,86,123,125],"well":[85,124],"number":[87],"predictors":[89,118],"be":[91,94],"blended,":[92],"may":[93],"chosen":[95],"user":[97],"settle":[99],"tradeoff":[101],"between":[102],"coding":[103],"performances":[104],"computational":[106],"costs.":[107],"exhibits":[110],"impressive":[111],"performances,":[112],"thanks":[113],"skill":[116],"in":[119],"fitting":[120],"data":[121],"patterns":[122],"modeling.":[128]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1822592572","counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-04-15T22:50:42.064106","created_date":"2016-06-24"}