{"id":"https://openalex.org/W186939704","doi":"https://doi.org/10.5220/0004752501390146","title":"An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation","display_name":"An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W186939704","doi":"https://doi.org/10.5220/0004752501390146","mag":"186939704"},"language":"en","primary_location":{"id":"doi:10.5220/0004752501390146","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004752501390146","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0004752501390146","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001566388","display_name":"Chathurika Dharmagunawardhana","orcid":null},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chathurika Dharmagunawardhana","raw_affiliation_strings":["University of Southampton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086689025","display_name":"Sasan Mahmoodi","orcid":"https://orcid.org/0000-0003-2507-659X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sasan Mahmoodi","raw_affiliation_strings":["University of Southampton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021102644","display_name":"Michael J. Bennett","orcid":"https://orcid.org/0000-0002-2930-4900"},"institutions":[{"id":"https://openalex.org/I2802965805","display_name":"University Hospital Southampton NHS Foundation Trust","ror":"https://ror.org/0485axj58","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I2802965805"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Bennett","raw_affiliation_strings":["University Hospital Southampton NHS Foundation Trust#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Hospital Southampton NHS Foundation Trust#TAB#","institution_ids":["https://openalex.org/I2802965805"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033579333","display_name":"Mahesan Niranjan","orcid":"https://orcid.org/0000-0001-7021-140X"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mahesan Niranjan","raw_affiliation_strings":["University of Southampton"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southampton","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2426,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53984025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9889000058174133,"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":0.9807999730110168,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7221917510032654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7174282670021057},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.6344132423400879},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5796899199485779},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5702588558197021},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5592028498649597},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5566340088844299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340119004249573},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5171163082122803},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.498171329498291},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.4815438389778137},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4678077697753906},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4421081244945526},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4269862473011017},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4234945774078369},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.41596513986587524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3757990896701813},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2214108407497406},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15985819697380066},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15939059853553772}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7221917510032654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7174282670021057},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.6344132423400879},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5796899199485779},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5702588558197021},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5592028498649597},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5566340088844299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340119004249573},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5171163082122803},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.498171329498291},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.4815438389778137},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4678077697753906},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4421081244945526},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4269862473011017},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4234945774078369},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.41596513986587524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3757990896701813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2214108407497406},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15985819697380066},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15939059853553772},{"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/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":2,"locations":[{"id":"doi:10.5220/0004752501390146","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004752501390146","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.soton.ac.uk:361682","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401020","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":{"id":"doi:10.5220/0004752501390146","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0004752501390146","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1993456370","https://openalex.org/W2031586513","https://openalex.org/W2121927366","https://openalex.org/W2125378844","https://openalex.org/W2125614842","https://openalex.org/W2132047332","https://openalex.org/W2163352848"],"related_works":["https://openalex.org/W2373481280","https://openalex.org/W4233015508","https://openalex.org/W987019958","https://openalex.org/W2030382593","https://openalex.org/W1983122994","https://openalex.org/W2078379274","https://openalex.org/W2033503400","https://openalex.org/W2170151560","https://openalex.org/W2099971354","https://openalex.org/W2133071149"],"abstract_inverted_index":{"In":[0,21],"statistical":[1],"model":[2],"based":[3,8,37],"texture":[4,31,78,96,99],"feature":[5],"extraction,":[6],"features":[7,72,79,86,100],"on":[9],"spatially":[10,18,34,54,82],"varying":[11,35,55],"parameters":[12,36,56],"achieve<br/>higher":[13],"discriminative":[14],"performances":[15],"compared":[16],"to":[17],"constant":[19,83],"parameters.":[20,84],"this":[22],"paper":[23],"we":[24],"formulate":[25],"a<br/>novel":[26],"Bayesian":[27],"framework":[28],"which":[29,80],"achieves":[30],"characterization":[32],"by":[33,48],"on<br/>Gaussian":[38],"Markov":[39],"random":[40,76],"fields.":[41],"The":[42],"parameter":[43],"estimation":[44],"is":[45],"carried":[46],"out":[47],"Metropolis-Hastings":[49],"algorithm.<br/>The":[50],"distributions":[51],"of":[52,94],"estimated":[53],"are":[57],"then":[58],"used":[59],"as":[60],"successful":[61],"discriminant":[62],"texture<br/>features":[63],"in":[64],"classification":[65,103],"and":[66,91,104],"segmentation.":[67,105],"Results":[68],"show":[69],"that":[70],"novel":[71],"outperform":[73],"traditional":[74],"Gaussian<br/>Markov":[75],"field":[77],"use":[81],"These":[85],"capture":[87],"both<br/>pixel":[88],"spatial":[89],"dependencies":[90],"structural":[92],"properties":[93],"a":[95],"giving":[97],"improved":[98],"for":[101],"effective<br/>texture":[102]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2016-06-24T00:00:00"}