{"id":"https://openalex.org/W2086972234","doi":"https://doi.org/10.1109/icip.2009.5413653","title":"Modeling magnitudes of Gabor coefficients: The \u03b2-Rayleigh distribution","display_name":"Modeling magnitudes of Gabor coefficients: The \u03b2-Rayleigh distribution","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2086972234","doi":"https://doi.org/10.1109/icip.2009.5413653","mag":"2086972234"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","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/A5023323494","display_name":"Daniel Gonz\u00e1lez-Jim\u00e9nez","orcid":null},"institutions":[{"id":"https://openalex.org/I106437751","display_name":"Centro Tecnol\u00f3xico de Telecomunicaci\u00f3ns de Galicia","ror":"https://ror.org/045ncxc88","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I106437751"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Gonzalez-Jimenez","raw_affiliation_strings":["Galician Research and Development Center in Advanced Telecommunications, Spain","GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Galician Research and Development Center in Advanced Telecommunications, Spain","institution_ids":["https://openalex.org/I106437751"]},{"raw_affiliation_string":"GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain","institution_ids":["https://openalex.org/I106437751"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025644152","display_name":"Enrique Argones-R\u00faa","orcid":null},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Argones-Rua","raw_affiliation_strings":["TSC Department, University of Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TSC Department, University of Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076826398","display_name":"Fernando P\u00e9rez\u2010Gonz\u00e1lez","orcid":"https://orcid.org/0000-0002-0568-1373"},"institutions":[{"id":"https://openalex.org/I106437751","display_name":"Centro Tecnol\u00f3xico de Telecomunicaci\u00f3ns de Galicia","ror":"https://ror.org/045ncxc88","country_code":"ES","type":"nonprofit","lineage":["https://openalex.org/I106437751"]},{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Fernando Perez-Gonzalez","raw_affiliation_strings":["TSC Department, University of Vigo, Spain","GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TSC Department, University of Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]},{"raw_affiliation_string":"GRADIANT (Galician Research and Development Center in Advanced Telecommunications), Spain","institution_ids":["https://openalex.org/I106437751"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037470203","display_name":"Jos\u00e9 Luis Alba\u2010Castro","orcid":"https://orcid.org/0000-0001-6319-5915"},"institutions":[{"id":"https://openalex.org/I6289922","display_name":"Universidade de Vigo","ror":"https://ror.org/05rdf8595","country_code":"ES","type":"education","lineage":["https://openalex.org/I6289922"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jose Luis Alba-Castro","raw_affiliation_strings":["TSC Department, University of Vigo, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TSC Department, University of Vigo, Spain","institution_ids":["https://openalex.org/I6289922"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1245","last_page":"1248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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/T10057","display_name":"Face and Expression Recognition","score":0.9990000128746033,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9891999959945679,"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/generalization","display_name":"Generalization","score":0.6359773874282837},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6048104166984558},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5304103493690491},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5277265310287476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5259511470794678},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5213811993598938},{"id":"https://openalex.org/keywords/rayleigh-distribution","display_name":"Rayleigh distribution","score":0.5210511088371277},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5101094841957092},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.45073169469833374},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.41092920303344727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39571601152420044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28580644726753235},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.26713812351226807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22566497325897217},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.18665975332260132},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13289880752563477}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6359773874282837},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6048104166984558},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5304103493690491},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5277265310287476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5259511470794678},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5213811993598938},{"id":"https://openalex.org/C40940223","wikidata":"https://www.wikidata.org/wiki/Q637150","display_name":"Rayleigh distribution","level":3,"score":0.5210511088371277},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5101094841957092},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.45073169469833374},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.41092920303344727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39571601152420044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28580644726753235},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.26713812351226807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22566497325897217},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.18665975332260132},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13289880752563477},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2009.5413653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.174.6959","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.174.6959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.gts.tsc.uvigo.es/gpsc/publications/wmark/dgonzalez_ICIP2009.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W125549875","https://openalex.org/W1527240141","https://openalex.org/W1979743748","https://openalex.org/W1989702938","https://openalex.org/W2010558924","https://openalex.org/W2019915615","https://openalex.org/W2099111195","https://openalex.org/W2103384342","https://openalex.org/W2120954940","https://openalex.org/W2129026722","https://openalex.org/W2148486884","https://openalex.org/W2148638515","https://openalex.org/W2180187800","https://openalex.org/W6605061814","https://openalex.org/W6655382975"],"related_works":["https://openalex.org/W2105321464","https://openalex.org/W2887774187","https://openalex.org/W2388220555","https://openalex.org/W2550979062","https://openalex.org/W3048739257","https://openalex.org/W1665563134","https://openalex.org/W2963604926","https://openalex.org/W1616881371","https://openalex.org/W1520875569","https://openalex.org/W2199957582"],"abstract_inverted_index":{"Generalized":[0],"Gaussian":[1],"(GG)":[2],"densities":[3],"have":[4],"been":[5],"recently":[6],"proposed":[7,67,143],"to":[8,31,44,94],"model":[9,49],"both":[10,58],"real":[11,59],"and":[12,60],"imaginary":[13,61],"parts":[14,62],"of":[15,26,40,53,81,99,105,117,123],"Gabor":[16,54,127],"coefficients.":[17],"However,":[18],"when":[19],"matching":[20],"faces,":[21],"most":[22],"systems":[23,170],"make":[24],"use":[25],"magnitude":[27,52],"information":[28],"only,":[29],"due":[30],"its":[32],"smooth":[33],"behavior":[34],"with":[35],"displacements.":[36],"The":[37,66,87,114],"first":[38],"goal":[39,116],"this":[41],"paper":[42,119],"is":[43,78,92],"propose":[45],"a":[46,79,130],"novel":[47],"statistical":[48,144],"for":[50,126],"the":[51,70,82,96,100,103,118,121,138,142,155,174],"coefficients,":[55],"supposed":[56],"that":[57,132,161,163],"are":[63,152],"GG":[64],"distributed.":[65],"model,":[68,101,145],"namely":[69],"\u00df-Rayleigh":[71],"distribution,":[72],"R":[73,106],"<sub":[74,107,148],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[75,108,149],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00df</sub>":[76,109,150],"(\u00bf),":[77],"generalization":[80],"standard":[83,112],"Rayleigh,":[84],"R(\u00bf),":[85],"density.":[86],"Kullback":[88],"Leibler":[89],"(KL)":[90],"divergence":[91],"used":[93,166],"measure":[95],"fitting":[97],"accuracy":[98],"showing":[102,158],"benefits":[104],"(\u00bf)":[110],"over":[111],"R(\u00bf).":[113],"second":[115],"tackles":[120],"selection":[122],"distance":[124],"measures":[125],"features":[128],"comparison,":[129],"topic":[131],"has":[133],"received":[134],"little":[135],"attention":[136],"in":[137,167],"literature.":[139],"Inspired":[140],"by":[141],"different":[146],"\u00bf":[147],"norms":[151],"tested":[153],"on":[154],"XM2VTS":[156],"database,":[157],"interesting":[159],"results":[160],"confirm":[162],"classical":[164],"distances":[165],"Gabor-based":[168],"recognition":[169],"do":[171],"not":[172],"provide":[173],"best":[175],"performance.":[176]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
