{"id":"https://openalex.org/W2144797085","doi":"https://doi.org/10.1109/icip.2000.899396","title":"Multiscale classification using complex wavelets and hidden Markov tree models","display_name":"Multiscale classification using complex wavelets and hidden Markov tree models","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2144797085","doi":"https://doi.org/10.1109/icip.2000.899396","mag":"2144797085"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2000.899396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2000.899396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","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/A5041443633","display_name":"Justin Romberg","orcid":"https://orcid.org/0000-0002-6616-197X"},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Romberg","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103357257","display_name":"Hyeokho Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyeokho Choi","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","**Rice University;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"**Rice University;","institution_ids":["https://openalex.org/I74775410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072713767","display_name":"Richard G. Baraniuk","orcid":"https://orcid.org/0000-0002-0721-8999"},"institutions":[{"id":"https://openalex.org/I1295876152","display_name":"Houston Methodist","ror":"https://ror.org/027zt9171","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1295876152"]},{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"R. Baraniuk","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","Houston Methodist"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA","institution_ids":["https://openalex.org/I74775410"]},{"raw_affiliation_string":"Houston Methodist","institution_ids":["https://openalex.org/I1295876152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033796704","display_name":"N. Kingbury","orcid":null},"institutions":[{"id":"https://openalex.org/I74775410","display_name":"Rice University","ror":"https://ror.org/008zs3103","country_code":"US","type":"education","lineage":["https://openalex.org/I74775410"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Kingbury","raw_affiliation_strings":["**Rice University;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"**Rice University;","institution_ids":["https://openalex.org/I74775410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1785,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.92160612,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"371","last_page":"374 vol.2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T10320","display_name":"Neural Networks and Applications","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9848999977111816,"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/wavelet","display_name":"Wavelet","score":0.6940125226974487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.682768702507019},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.6296316385269165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.609254002571106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6040449738502502},{"id":"https://openalex.org/keywords/complex-wavelet-transform","display_name":"Complex wavelet transform","score":0.5454412698745728},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5361148715019226},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5091332793235779},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.4959295690059662},{"id":"https://openalex.org/keywords/second-generation-wavelet-transform","display_name":"Second-generation wavelet transform","score":0.44419413805007935},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4285666346549988},{"id":"https://openalex.org/keywords/lifting-scheme","display_name":"Lifting scheme","score":0.41874101758003235},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4179144501686096}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6940125226974487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.682768702507019},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.6296316385269165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.609254002571106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6040449738502502},{"id":"https://openalex.org/C2777885455","wikidata":"https://www.wikidata.org/wiki/Q5156615","display_name":"Complex wavelet transform","level":5,"score":0.5454412698745728},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5361148715019226},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5091332793235779},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.4959295690059662},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.44419413805007935},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4285666346549988},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.41874101758003235},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4179144501686096}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icip.2000.899396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2000.899396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.222.4154","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.222.4154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dsp.rice.edu/sites/dsp.rice.edu/files/publications/conference-paper/2000/multiscale-icip-2000.pdf","raw_type":"text"},{"id":"pmh:oai:repository.rice.edu:1911/20296","is_oa":false,"landing_page_url":"https://hdl.handle.net/1911/20296","pdf_url":null,"source":{"id":"https://openalex.org/S4306401268","display_name":"Rice Digital Scholarship Archive (Rice University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74775410","host_organization_name":"Rice University","host_organization_lineage":["https://openalex.org/I74775410"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:scholarship.rice.edu:1911/20296","is_oa":false,"landing_page_url":"http://hdl.handle.net/1911/20296","pdf_url":null,"source":{"id":"https://openalex.org/S4306401268","display_name":"Rice Digital Scholarship Archive (Rice University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I74775410","host_organization_name":"Rice University","host_organization_lineage":["https://openalex.org/I74775410"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2022905067","https://openalex.org/W2032140359","https://openalex.org/W2115755118","https://openalex.org/W2118716052","https://openalex.org/W2119445186","https://openalex.org/W2132334273","https://openalex.org/W2134929491","https://openalex.org/W2168796889","https://openalex.org/W6679511516","https://openalex.org/W6684975237"],"related_works":["https://openalex.org/W1588899229","https://openalex.org/W1976022598","https://openalex.org/W2085792030","https://openalex.org/W68308810","https://openalex.org/W1506615375","https://openalex.org/W2391053410","https://openalex.org/W2358271565","https://openalex.org/W2144408025","https://openalex.org/W4321517526","https://openalex.org/W2205192157"],"abstract_inverted_index":{"Multiresolution":[0],"signal":[1],"and":[2,20,23,41,58,76,79],"image":[3],"models":[4,27],"such":[5],"as":[6,86,122],"the":[7,15,30,45,50,64,91,104],"hidden":[8],"Markov":[9],"tree":[10],"(HMT)":[11],"aim":[12],"to":[13,49,63,81],"capture":[14],"statistical":[16],"structures":[17],"of":[18],"smooth":[19],"singular":[21],"(textured":[22],"edgy)":[24],"regions.":[25],"Unfortunately,":[26],"based":[28,102,111],"on":[29,103,112],"orthogonal":[31],"wavelet":[32,52,66,106,114],"transform":[33],"suffer":[34],"from":[35],"shift-variance,":[36],"making":[37],"them":[38],"less":[39],"accurate":[40],"realistic.":[42],"We":[43,93],"extend":[44],"HMT":[46,107],"modeling":[47],"framework":[48],"complex":[51,105],"transform,":[53],"which":[54],"features":[55],"near":[56],"shift-invariance":[57],"improved":[59],"angular":[60],"resolution":[61],"compared":[62],"standard":[65],"transform.":[67],"The":[68,116],"model":[69],"is":[70],"computationally":[71],"efficient":[72],"(featuring":[73],"linear-time":[74],"computation":[75],"processing":[77],"algorithms)":[78],"applicable":[80],"general":[82],"Bayesian":[83],"inference":[84],"problems":[85],"a":[87,95,123,127],"prior":[88],"density":[89],"for":[90],"data.":[92],"develop":[94],"simple":[96],"multiscale":[97,130],"maximum":[98],"likelihood":[99],"classification":[100],"scheme":[101],"that":[108],"outperforms":[109],"methods":[110],"real-valued":[113],"HMTs.":[115],"resulting":[117],"classifier":[118],"can":[119],"be":[120],"used":[121],"front":[124],"end":[125],"in":[126],"more":[128],"sophisticated":[129],"segmentation":[131],"algorithm.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}
