{"id":"https://openalex.org/W2148200517","doi":"https://doi.org/10.1109/grc.2005.1547335","title":"A new multiresolution classification model based on partitioning of feature space","display_name":"A new multiresolution classification model based on partitioning of feature space","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W2148200517","doi":"https://doi.org/10.1109/grc.2005.1547335","mag":"2148200517"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2005.1547335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"},"type":"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/A5101102735","display_name":"Yinghua He","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yinghua He","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116410422","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0001-8012-0560"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Zhang","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372739","display_name":"Jianmin Li","orcid":"https://orcid.org/0000-0002-4937-2433"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianmin Li","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101102735"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8812,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77825546,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":null,"first_page":"462","last_page":"467 Vol. 2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9958000183105469,"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":0.9958000183105469,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9839000105857849,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9735000133514404,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6896594762802124},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.665053129196167},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.6600955724716187},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5821366310119629},{"id":"https://openalex.org/keywords/hypercube","display_name":"Hypercube","score":0.5660728812217712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5310167670249939},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.48024681210517883},{"id":"https://openalex.org/keywords/multiresolution-analysis","display_name":"Multiresolution analysis","score":0.4659280478954315},{"id":"https://openalex.org/keywords/data-space","display_name":"Data space","score":0.4534861445426941},{"id":"https://openalex.org/keywords/linear-classifier","display_name":"Linear classifier","score":0.4468654990196228},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43668821454048157},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43655917048454285},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42940694093704224},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4153482913970947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3613434433937073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19565227627754211},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17475947737693787},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.07090729475021362}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6896594762802124},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.665053129196167},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.6600955724716187},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5821366310119629},{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.5660728812217712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5310167670249939},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.48024681210517883},{"id":"https://openalex.org/C121927907","wikidata":"https://www.wikidata.org/wiki/Q1952516","display_name":"Multiresolution analysis","level":5,"score":0.4659280478954315},{"id":"https://openalex.org/C2988382989","wikidata":"https://www.wikidata.org/wiki/Q370685","display_name":"Data space","level":2,"score":0.4534861445426941},{"id":"https://openalex.org/C139532973","wikidata":"https://www.wikidata.org/wiki/Q2679259","display_name":"Linear classifier","level":3,"score":0.4468654990196228},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43668821454048157},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43655917048454285},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42940694093704224},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4153482913970947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3613434433937073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19565227627754211},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17475947737693787},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.07090729475021362},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2005.1547335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2005.1547335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Granular Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1501242480","https://openalex.org/W1512234690","https://openalex.org/W1517636450","https://openalex.org/W1557923305","https://openalex.org/W1588119222","https://openalex.org/W1589534817","https://openalex.org/W1924599836","https://openalex.org/W1947957290","https://openalex.org/W1965059296","https://openalex.org/W2007187232","https://openalex.org/W2019377400","https://openalex.org/W2106525014","https://openalex.org/W2121374566","https://openalex.org/W2132950833","https://openalex.org/W2148603752","https://openalex.org/W2153635508","https://openalex.org/W2293747114","https://openalex.org/W2799061466","https://openalex.org/W3015299913","https://openalex.org/W4205687621","https://openalex.org/W4249601105","https://openalex.org/W4255996415","https://openalex.org/W6630104522","https://openalex.org/W6630536548"],"related_works":["https://openalex.org/W2162970382","https://openalex.org/W2444525338","https://openalex.org/W1997235926","https://openalex.org/W2891282097","https://openalex.org/W2974328778","https://openalex.org/W4310720490","https://openalex.org/W4286520467","https://openalex.org/W2438636502","https://openalex.org/W1597543867","https://openalex.org/W2561081120"],"abstract_inverted_index":{"Multiresolution":[0],"analysis":[1,114],"is":[2,101],"a":[3,15,22],"hot":[4],"topic":[5],"in":[6],"the":[7,27,30,37,44,55,60,70,75,86,91,109,120,123],"past":[8],"decade.":[9],"In":[10],"this":[11],"paper,":[12],"we":[13],"propose":[14],"new":[16],"multiresolution":[17],"classification":[18],"method":[19],"which":[20,57,103],"adopts":[21],"coarse-to-fine":[23],"strategy":[24],"both":[25],"during":[26],"training":[28,41],"and":[29,115],"testing":[31,66,71],"processes":[32],"based":[33],"on":[34,59,85],"decomposing":[35],"of":[36,122],"feature":[38],"space.":[39],"The":[40,65],"algorithm":[42,67],"locates":[43],"boundary":[45,61,87],"between":[46],"two":[47],"classes":[48],"from":[49],"coarse":[50],"to":[51],"fine":[52],"by":[53,63,74],"dividing":[54],"hypercubes":[56],"lie":[58],"step":[62],"step.":[64],"firstly":[68],"labels":[69],"data":[72],"set":[73],"classifier":[76],"trained":[77],"at":[78,90],"initial":[79],"resolution.":[80,93],"Then,":[81],"only":[82],"those":[83],"lying":[84],"are":[88],"labeled":[89],"finer":[92],"As":[94],"an":[95,97],"example,":[96],"approach":[98],"named":[99],"MRSVC":[100],"proposed,":[102],"exploits":[104],"support":[105],"vector":[106],"machines":[107],"as":[108],"basic":[110],"classifier.":[111],"Finally,":[112],"theoretical":[113],"experimental":[116],"results":[117],"have":[118],"substantiated":[119],"effectiveness":[121],"proposed":[124],"method.":[125]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}