乐胖代购免代理版

{"id":"https://openalex.org/W2112100270","doi":"https://doi.org/10.1109/ijcnn.2008.4634319","title":"Independent component analysis for spatial object recognition with applications of information theory synthesis","display_name":"Independent component analysis for spatial object recognition with applications of information theory synthesis","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2112100270","doi":"https://doi.org/10.1109/ijcnn.2008.4634319","mag":"2112100270"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634319","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/A5101519387","display_name":"Zhengmao Ye","orcid":"https://orcid.org/0000-0001-8897-574X"},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhengmao Ye","raw_affiliation_strings":["Coll. of Eng., Southern Univ., Baton Rouge, LA"],"affiliations":[{"raw_affiliation_string":"Coll. of Eng., Southern Univ., Baton Rouge, LA","institution_ids":["https://openalex.org/I145610796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038916499","display_name":"Habib Mohamadian","orcid":null},"institutions":[{"id":"https://openalex.org/I145610796","display_name":"Southern University and Agricultural and Mechanical College","ror":"https://ror.org/04r3m2882","country_code":"US","type":"education","lineage":["https://openalex.org/I145610796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Habib Mohamadian","raw_affiliation_strings":["Coll. of Eng., Southern Univ., Baton Rouge, LA"],"affiliations":[{"raw_affiliation_string":"Coll. of Eng., Southern Univ., Baton Rouge, LA","institution_ids":["https://openalex.org/I145610796"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039853112","display_name":"Yongmao Ye","orcid":"https://orcid.org/0000-0002-0925-4678"},"institutions":[{"id":"https://openalex.org/I4210125497","display_name":"Liaoning Meteorological Bureau","ror":"https://ror.org/03616xn26","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210125497"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmao Ye","raw_affiliation_strings":["Broadcasting Dept., Liaoning TV Station, Shenyang"],"affiliations":[{"raw_affiliation_string":"Broadcasting Dept., Liaoning TV Station, Shenyang","institution_ids":["https://openalex.org/I4210125497"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.571,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.710287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"3641","last_page":"3646"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation and Independent Component Analysis","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11447","display_name":"Blind Source Separation and Independent Component Analysis","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10640","display_name":"Chemometrics in Analytical Chemistry and Food Technology","score":0.9949,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Network Fundamentals and Applications","score":0.9868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent Component Analysis","score":0.672148},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.623423},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal Component Analysis","score":0.565454},{"id":"https://openalex.org/keywords/blind-separation","display_name":"Blind Separation","score":0.533031},{"id":"https://openalex.org/keywords/signal-decomposition","display_name":"Signal Decomposition","score":0.530481},{"id":"https://openalex.org/keywords/spectral-analysis","display_name":"Spectral Analysis","score":0.520263},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.48849213},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4667307},{"id":"https://openalex.org/keywords/3d-single-object-recognition","display_name":"3D single-object recognition","score":0.44517076},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.43007886},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4108237}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.79109},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7673129},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.75767493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7304542},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6409866},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.62960225},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.623423},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61117166},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.53234345},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5198115},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.48849213},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4667307},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.44517076},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44363973},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.43007886},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4108237},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30848944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.101790965},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4634319","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":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W1491456651","https://openalex.org/W1573244776","https://openalex.org/W1584955137","https://openalex.org/W1975595793","https://openalex.org/W2034432063","https://openalex.org/W2037702935","https://openalex.org/W2068488676","https://openalex.org/W2076305001","https://openalex.org/W2081711865","https://openalex.org/W2092883204","https://openalex.org/W2097900616","https://openalex.org/W2099111195","https://openalex.org/W2101706868","https://openalex.org/W2124776405","https://openalex.org/W2129941787","https://openalex.org/W2140426615","https://openalex.org/W2143080207","https://openalex.org/W2153038960","https://openalex.org/W2160177263","https://openalex.org/W2478708596","https://openalex.org/W2799061466","https://openalex.org/W3140968660","https://openalex.org/W4205687621","https://openalex.org/W4256068510"],"related_works":["https://openalex.org/W2578478211","https://openalex.org/W2403129783","https://openalex.org/W2387237626","https://openalex.org/W2207218974","https://openalex.org/W2188151889","https://openalex.org/W2182443753","https://openalex.org/W2014001742","https://openalex.org/W196505194","https://openalex.org/W1841786463","https://openalex.org/W113382539"],"abstract_inverted_index":{"Each":[0,114],"moving":[1,41,152],"object":[2,15,24,63],"contains":[3],"particular":[4],"unique":[5,118],"signatures":[6],"that":[7,120],"can":[8,27,75,121],"be":[9,28,76,108,122],"used":[10],"for":[11,57,149],"pattern":[12],"classification":[13],"via":[14],"recognition":[16,26,150],"and":[17,91,138],"identification.":[18],"Information":[19],"extracted":[20],"from":[21],"the":[22,40,128,132],"spatial":[23],"feature":[25,54],"provided":[29],"by":[30],"independent":[31,48,111,145],"basis":[32,106],"functions":[33],"to":[34,66,97,107,144],"represent":[35],"actual":[36],"physical":[37],"attributes":[38],"of":[39,88,131,151],"objects.":[42,153],"Compared":[43],"with":[44],"principal":[45],"component":[46,49,112,134,146],"analysis,":[47],"analysis":[50,147],"is":[51,64,86],"a":[52,67,79,105],"special":[53,68],"extraction":[55],"approach":[56],"blind":[58],"signal":[59],"separation,":[60],"where":[61],"an":[62],"labeled":[65],"class.":[69],"Some":[70],"underlying":[71],"factors":[72],"or":[73],"sources":[74],"captured":[77],"in":[78],"statistical":[80],"sense.":[81],"The":[82],"true":[83],"color":[84,133],"image":[85],"composed":[87],"red,":[89],"green":[90],"blue":[92],"components":[93,101],"which":[94],"are":[95],"perpendicular":[96],"each":[98],"other.":[99],"These":[100],"may":[102],"serve":[103],"as":[104],"synthesized":[109],"using":[110,124],"analysis.":[113],"individual":[115],"signature":[116],"indicates":[117],"information":[119,125],"evaluated":[123],"theory.":[126],"Thus,":[127],"quantitative":[129],"measures":[130],"energy,":[135],"discrete":[136],"entropy":[137,140],"relative":[139],"have":[141],"been":[142],"introduced":[143],"issues":[148]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2112100270","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2024-11-24T16:29:54.340789","created_date":"2016-06-24"}