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Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces
ArticleAbstract: This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces.Palabras claves:Adaptive, autoregressive and moving-average, filter, kernel methods, recursiveAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Tuia D.Fuentes:scopusFeature selection using support vector machines and bootstrap methods for ventricular fibrillation detection
Conference ObjectAbstract: Early detection of ventricular fibrillation (VF) is crucial for the success of the defibrillation thPalabras claves:Arrhythmia classification, Bootstrap, feature selection, SUPPORT VECTOR MACHINES, Ventricular fibrillation detectionAutores:Alonso-Atienza F., Camps-Valls G., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Rosado-Muñoz A., Vinagre J.J.Fuentes:scopusDiscrete time signal processing framework with support vector machines
Book PartAbstract: Digital signal processing (DSP) of time series using SVM has been addressed in the literature with aPalabras claves:Autores:Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.Fuentes:scopusNonuniform interpolation of noisy signals using support vector machines
ArticleAbstract: The problem of signal interpolation has been intensively studied in the Information Theory literaturPalabras claves:Dual Signal Model, Interpolation, Mercer's kernel, Nonuniform sampling, Primal signal model, signal, Sinc kernel, support vector machine (SVM)Autores:Alonso-Atienza F., Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.Fuentes:scopusLearning non-linear time-scales with kernel γ-filters
ArticleAbstract: A family of kernel methods, based on the γ-filter structure, is presented for non-linear system idenPalabras claves:Gamma filter, Kernel, Non-linear system identification, Support Vector MachineAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Requena-Carrión J.Fuentes:scopusRobust γ-filter using support vector machines
ArticleAbstract: This Letter presents a new approach to time-series modelling using the support vector machines (SVM)Palabras claves:channel equalization, Iterated pbkp_rediction, SUPPORT VECTOR MACHINES, γ-FilterAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Soria-Olivas E.Fuentes:scopusSupport vector machines for nonlinear Kernel ARMA system identification
ArticleAbstract: Nonlinear system identification based on support vector machines (SVM) has been usually addressed byPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Navia-Vázquez A., Soria-Olivas E.Fuentes:scopusSupport vector machines framework for linear signal processing
ArticleAbstract: This paper presents a support vector machines (SVM) framework to deal with linear signal processingPalabras claves:Complex ARMA, Gamma filter, Linear processing, Spectral estimation, SUPPORT VECTOR MACHINESAutores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Navia-Vázquez A., Soria-Olivas E.Fuentes:scopus