{"id":"https://openalex.org/W2980076572","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858829","title":"Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation","display_name":"Incremental Cauchy Non-Negative Matrix Factorization and Fuzzy Rule-based Classifier for Acoustic Source Separation","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2980076572","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858829","mag":"2980076572"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5005713107","display_name":"Achyut Mani Tripathi","orcid":"https://orcid.org/0000-0003-0548-9688"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Achyut Mani Tripathi","raw_affiliation_strings":["Department of Computer Science & Engineering, Indian Institute of Technology, Guwahati, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Indian Institute of Technology, Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076245454","display_name":"Rashmi Dutta Baruah","orcid":"https://orcid.org/0000-0002-6756-8157"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rashmi Dutta Baruah","raw_affiliation_strings":["Department of Computer Science & Engineering, Indian Institute of Technology, Guwahati, Guwahati, Assam, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Engineering, Indian Institute of Technology, Guwahati, Guwahati, Assam, India","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5005713107"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":0.1659,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45581196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9994000196456909,"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/T11309","display_name":"Music and Audio Processing","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6941633820533752},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.6205414533615112},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5719358921051025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5703729391098022},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4805184304714203},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4739653766155243},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.4665524661540985},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45804068446159363},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4569036066532135},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.432412326335907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40934714674949646},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3473297655582428},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33648648858070374},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2864401340484619}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6941633820533752},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.6205414533615112},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5719358921051025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5703729391098022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4805184304714203},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4739653766155243},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.4665524661540985},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45804068446159363},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4569036066532135},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.432412326335907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40934714674949646},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3473297655582428},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33648648858070374},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2864401340484619},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858829","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":35,"referenced_works":["https://openalex.org/W1486994328","https://openalex.org/W1527858862","https://openalex.org/W1546503963","https://openalex.org/W1555814299","https://openalex.org/W1570834090","https://openalex.org/W1650531274","https://openalex.org/W1802019370","https://openalex.org/W1877570817","https://openalex.org/W1982169181","https://openalex.org/W2039844283","https://openalex.org/W2045402776","https://openalex.org/W2052384514","https://openalex.org/W2066159588","https://openalex.org/W2127758213","https://openalex.org/W2129126378","https://openalex.org/W2135029798","https://openalex.org/W2166018245","https://openalex.org/W2167917621","https://openalex.org/W2179490238","https://openalex.org/W2235103357","https://openalex.org/W2402002584","https://openalex.org/W2528648358","https://openalex.org/W2747506362","https://openalex.org/W2783473931","https://openalex.org/W2962715207","https://openalex.org/W3123318516","https://openalex.org/W3143596294","https://openalex.org/W4285719527","https://openalex.org/W4289665794","https://openalex.org/W4299345493","https://openalex.org/W6628900912","https://openalex.org/W6636898527","https://openalex.org/W6680012447","https://openalex.org/W6713082514","https://openalex.org/W6719599463"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840","https://openalex.org/W2146544734"],"abstract_inverted_index":{"Non-negative":[0],"matrix":[1,33,135],"factorization":[2,34,74,136],"(NNMF)":[3],"technique":[4],"has":[5,13,122],"been":[6],"widely":[7],"applicable":[8],"for":[9],"dimension":[10],"reduction.":[11],"NNMF":[12],"shown":[14,123],"its":[15],"usability":[16],"to":[17,53,62,128,148],"solve":[18],"numerous":[19],"challenges":[20],"in":[21,49],"areas":[22],"such":[23],"as":[24,126],"signal":[25],"processing,":[26],"image":[27],"classification,":[28],"and":[29,82,118,146],"text":[30],"mining.":[31],"Existing":[32],"methods":[35],"need":[36],"a":[37,43,89,93],"predefined":[38],"value":[39,58,142],"of":[40,42,59,92,101,143],"rank":[41,61,81,145],"base":[44],"matrix.":[45,65],"Our":[46],"primary":[47],"intention":[48],"this":[50],"article":[51],"is":[52,96],"automatically":[54,77,138],"identify":[55],"the":[56,60,64,79,84,110,114,119,129,133,140,144],"optimum":[57,80],"factorize":[63],"Here":[66],"we":[67],"propose":[68],"an":[69,99],"Incremental":[70],"Cauchy":[71],"NonNegative":[72],"Matrix":[73],"(ICNNMF)":[75],"which":[76],"finds":[78],"separates":[83],"overlapping":[85],"sounds":[86],"received":[87],"from":[88],"single":[90],"channel":[91],"source.":[94],"Classification":[95],"performed":[97],"using":[98],"ensemble":[100],"one":[102],"class":[103],"fuzzy":[104],"rule-based":[105],"(FRB)":[106],"classifiers.":[107],"We":[108],"evaluated":[109],"proposed":[111,120,134],"method":[112,137],"over":[113],"real":[115],"data":[116],"set,":[117],"model":[121],"better":[124],"accuracy":[125],"compared":[127],"traditional":[130],"classifier.":[131],"Moreover,":[132],"determines":[139],"optimal":[141],"adapt":[147],"new":[149],"data.":[150]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}