{"id":"https://openalex.org/W1483237494","doi":"https://doi.org/10.1109/icassp.2015.7179079","title":"Metric-Constrained Kernel Union of Subspaces","display_name":"Metric-Constrained Kernel Union of Subspaces","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1483237494","doi":"https://doi.org/10.1109/icassp.2015.7179079","mag":"1483237494"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2015.7179079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101994749","display_name":"Tong Wu","orcid":"https://orcid.org/0000-0001-8599-6078"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Wu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers the State University of New Jersey","Dept. of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028718006","display_name":"Waheed U. Bajwa","orcid":"https://orcid.org/0000-0003-4406-5263"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Waheed U. Bajwa","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers the State University of New Jersey","Dept. of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers the State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers, The State University of New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.2703,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.53787879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"290","issue":null,"first_page":"5778","last_page":"5782"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9936000108718872,"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":0.9936000108718872,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9837999939918518,"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":0.982200026512146,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.7787204384803772},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.7039039731025696},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5800725817680359},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5481522083282471},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5376698970794678},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.5319706797599792},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4836222231388092},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47521668672561646},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46561574935913086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4420326352119446},{"id":"https://openalex.org/keywords/kernel-embedding-of-distributions","display_name":"Kernel embedding of distributions","score":0.4418966770172119},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44022366404533386},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.225530207157135},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.19642817974090576},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10808518528938293}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.7787204384803772},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.7039039731025696},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5800725817680359},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5481522083282471},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5376698970794678},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.5319706797599792},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4836222231388092},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47521668672561646},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46561574935913086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4420326352119446},{"id":"https://openalex.org/C134517425","wikidata":"https://www.wikidata.org/wiki/Q16000131","display_name":"Kernel embedding of distributions","level":4,"score":0.4418966770172119},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44022366404533386},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.225530207157135},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.19642817974090576},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10808518528938293},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp.2015.7179079","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2015.7179079","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.01RUT_INST:11664920020004646","is_oa":false,"landing_page_url":"https://scholarship.libraries.rutgers.edu/esploro/outputs/conferenceProceeding/Metric-Constrained-Kernel-Union-of-Subspaces/991031665584504646","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1662191912","https://openalex.org/W1966347620","https://openalex.org/W1988219946","https://openalex.org/W1993056240","https://openalex.org/W2001141328","https://openalex.org/W2004744336","https://openalex.org/W2032986522","https://openalex.org/W2039158811","https://openalex.org/W2053186076","https://openalex.org/W2064942839","https://openalex.org/W2081821809","https://openalex.org/W2097308346","https://openalex.org/W2105732805","https://openalex.org/W2111427896","https://openalex.org/W2133396101","https://openalex.org/W2140095548","https://openalex.org/W2189181199","https://openalex.org/W2798766386","https://openalex.org/W3002694247","https://openalex.org/W3100720754","https://openalex.org/W4254313632","https://openalex.org/W4313169793","https://openalex.org/W6634974784","https://openalex.org/W6637034065","https://openalex.org/W6676014314","https://openalex.org/W6687231734"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W1565299197"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,22,27,49,54,61,85,88,92],"problem":[4],"of":[5,9,21,41,53,87],"learning":[6,40],"a":[7,19],"collection":[8],"nonlinear":[10],"manifolds.":[11],"Inspired":[12],"by":[13],"kernel":[14,23,62],"methods,":[15],"it":[16],"puts":[17],"forth":[18],"generalization":[20],"subspace":[24],"model,":[25],"termed":[26],"Metric-Constrained":[28],"Kernel":[29],"Union-of-Subspaces":[30],"(MC-KUoS)":[31],"model.":[32],"It":[33],"then":[34],"develops":[35],"an":[36,42],"iterative":[37],"method":[38,67],"for":[39,79],"MC-KUoS":[43,89],"whose":[44],"solution":[45],"is":[46],"based":[47],"on":[48],"data":[50],"representation":[51],"capability":[52],"manifolds":[55],"and":[56,71,91],"distances":[57],"between":[58],"subspaces":[59],"in":[60],"(feature)":[63],"space.":[64],"The":[65],"proposed":[66,93],"(when":[68],"using":[69],"Gaussian":[70],"polynomial":[72],"kernels)":[73],"outperforms":[74],"existing":[75],"competitive":[76],"state-of-the-art":[77],"methods":[78],"real-world":[80],"image":[81],"denoising,":[82],"which":[83],"shows":[84],"benefits":[86],"model":[90],"denoising":[94],"approach.":[95]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
