{"id":"https://openalex.org/W2118225305","doi":"https://doi.org/10.1109/icassp.2008.4518008","title":"Gaussian processes for source separation","display_name":"Gaussian processes for source separation","publication_year":2008,"publication_date":"2008-03-01","ids":{"openalex":"https://openalex.org/W2118225305","doi":"https://doi.org/10.1109/icassp.2008.4518008","mag":"2118225305"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518008","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"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/A5086350199","display_name":"Sunho Park","orcid":"https://orcid.org/0000-0002-0388-2198"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sunho Park","raw_affiliation_strings":["Dept. of Comput. Sci., POSTECH, Seoul"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., POSTECH, Seoul","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101795797","display_name":"Seungjin Choi","orcid":"https://orcid.org/0000-0002-8301-3776"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungjin Choi","raw_affiliation_strings":["Dept. of Comput. Sci., POSTECH, Seoul"],"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., POSTECH, Seoul","institution_ids":["https://openalex.org/I123900574"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.856,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":17,"citation_normalized_percentile":{"value":0.838691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":null,"issue":null,"first_page":"1909","last_page":"1912"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation and Independent Component Analysis","score":0.9999,"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":0.9999,"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/T10860","display_name":"Speech Enhancement Techniques","score":0.9977,"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":0.9956,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/source-separation","display_name":"Source Separation","score":0.646865},{"id":"https://openalex.org/keywords/signal-decomposition","display_name":"Signal Decomposition","score":0.512512},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal Component Analysis","score":0.504799},{"id":"https://openalex.org/keywords/sparse-representations","display_name":"Sparse Representations","score":0.504343}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6783147},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.59057283},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5706202},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.56516635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206908},{"id":"https://openalex.org/C2776864781","wikidata":"https://www.wikidata.org/wiki/Q52617913","display_name":"Source separation","level":2,"score":0.50556564},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.49946952},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49167067},{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.47892722},{"id":"https://openalex.org/C138777275","wikidata":"https://www.wikidata.org/wiki/Q6884054","display_name":"Mixing (physics)","level":2,"score":0.43136102},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4257083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35863817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2876021},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.2840864},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27749497},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09885749},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2008.4518008","pdf_url":null,"source":{"id":"https://openalex.org/S4210167542","display_name":"Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing","issn_l":"1520-6149","issn":["1520-6149","2379-190X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"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":15,"referenced_works":["https://openalex.org/W1489793438","https://openalex.org/W1514159701","https://openalex.org/W1746819321","https://openalex.org/W1994005439","https://openalex.org/W2019502123","https://openalex.org/W2060843042","https://openalex.org/W2108384452","https://openalex.org/W2133069808","https://openalex.org/W2142638745","https://openalex.org/W2152937653","https://openalex.org/W2160510069","https://openalex.org/W2163678127","https://openalex.org/W3136837693","https://openalex.org/W4211049957","https://openalex.org/W57959910"],"related_works":["https://openalex.org/W4311761947","https://openalex.org/W4309794518","https://openalex.org/W3096432517","https://openalex.org/W2963885072","https://openalex.org/W2921280830","https://openalex.org/W2887132723","https://openalex.org/W2258123186","https://openalex.org/W1987404909","https://openalex.org/W1983957588","https://openalex.org/W1971337326"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"a":[5,18,47,51,64],"probabilistic":[6],"method":[7],"for":[8],"source":[9,16,28,45,115],"separation":[10,29,116],"in":[11],"the":[12,25,35,40,58,71,93,98,101,106],"case":[13],"where":[14],"each":[15,44],"has":[17],"certain":[19],"unknown":[20],"temporal":[21,41],"structure.":[22],"We":[23],"tackle":[24],"problem":[26],"of":[27,43,57,100,109],"by":[30,46,63,70,82],"maximum":[31],"pseudo-likelihood":[32,56],"estimation,":[33],"representing":[34],"latent":[36],"function":[37],"which":[38],"characterizes":[39],"structure":[42],"random":[48],"process":[49,84],"with":[50],"Gaussian":[52,83],"prior.":[53],"The":[54],"resulting":[55],"data":[59],"is":[60,89],"Gaussian,":[61],"determined":[62],"mixing":[65],"matrix":[66,76,95],"as":[67,69],"well":[68],"predictive":[72],"mean":[73],"and":[74],"covariance":[75],"that":[77],"can":[78],"be":[79],"easily":[80],"computed":[81],"(GP)":[85],"regression.":[86],"Gradient-based":[87],"optimization":[88],"applied":[90],"to":[91,113],"estimate":[92],"demixing":[94],"through":[96],"maximizing":[97],"log-pseudo-likelihood":[99],"data.":[102],"Numerical":[103],"experiments":[104],"confirm":[105],"useful":[107],"behavior":[108],"our":[110],"method,":[111],"compared":[112],"existing":[114],"methods.":[117]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2118225305","counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":1}],"updated_date":"2024-11-30T14:59:31.721774","created_date":"2016-06-24"}