02244nam 2200541 450 991070725080332120160614162637.0(CKB)5470000002463000(OCoLC)951687848(EXLCZ)99547000000246300020160614j199605 ua 0engurbn|||||||||txtrdacontentcrdamediacrrdacarrierImplementation of a campuswide distributed mass storage service: the dream versus reality /Betty Jo Armstead and Stephen PrahstCleveland, Ohio :National Aeronautics and Space Administration, Lewis Research Center,May 1996.1 online resource (10 pages) illustrationsNASA technical memorandum ;106900Title from title screen (viewed June 14, 2016)."May 1996"--Report documentation page."Prepared for the 14th Symposium on Mass Storage sponsored by the Institute of Electrical and Electronics Engineers, Monterey, California,September 11-14, 1995.""Performing organization: National Aeronautics and Space Administration, Lewis Research Center"--Report documentation page.Includes bibliographical references (page 10).Implementation of a campuswide distributed mass storage serviceCommunication networksnasatPersonal computersnasatWorkstationsnasatArchitecture (computers)nasatMemory (computers)nasatUser requirementsnasatCommunication networks.Personal computers.Workstations.Architecture (computers)Memory (computers)User requirements.Armstead Betty Jo1412809Prahst StephenLewis Research Center,United States.National Aeronautics and Space Administration,GPOGPOBOOK9910707250803321Implementation of a campuswide distributed mass storage service: the dream versus reality3507490UNINA02983nam0 22006853i 450 VAN026539720240104021503.891978-16-11-97640-320231026d2021 |0itac50 baengUS|||| |||||Nonnegative matrix factorizationNicolas GillisPhiladelphiaSIAM2021xix, 350 p.ill.26 cm001VAN02583482001 Data science book series210 PhiladelphiaSIAM268-XXComputer science [MSC 2020]VANC019670MF15B48Positive matrices and their generalizations; cones of matrices [MSC 2020]VANC019936MF15-XXLinear and multilinear algebra; matrix theory [MSC 2020]VANC020607MF68T10Pattern recognition, speech recognition [MSC 2020]VANC020788MF15A23Factorization of matrices [MSC 2020]VANC023159MF68T09Computational aspects of data analysis and big data [MSC 2020]VANC035916MF65F55Numerical methods for low-rank matrix approximation; matrix compression [MSC 2020]VANC037610MFComputational complexityKW:KDictionary learningKW:KGene expression analysisKW:KHyperspectral ImagingKW:KMatrix FactorizationKW:KNon-linear optimizationKW:KNonnegative matrix factorizationKW:KPrincipal component analysisKW:KRecommender systemsKW:KSingular value decompositionKW:KSparsityKW:Kaudio source separationKW:Kbeta-divergencesKW:Kblind source separationKW:Kblock coordinate descent methodsKW:Kcommunication complexityKW:Kextended formulationsKW:Kfeature extractionKW:KidentifiabilityKW:Klinear dimensionality reductionKW:Klow-rank matrix approximationsKW:Kmultiplicative updatesKW:Knested polytope problemKW:Knonnegative rankKW:Kself-modeling curve resolutionKW:KseparabilityKW:Ktopic modelingKW:KPhiladelphiaVANL000037GillisNicolasVANV2187461430938SIAM <editore>VANV108794650ITSOL20240531RICA/sebina/repository/catalogazione/documenti/GILLIS.pdfGILLIS.pdfBIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICAIT-CE0120VAN08VAN0265397BIBLIOTECA DEL DIPARTIMENTO DI MATEMATICA E FISICA08PREST 68-XX 1598 08DMF826 I 20231026 Nonnegative matrix factorization3571190UNICAMPANIA