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Kernel Methods in Bioengineering, Signal and Image Processing(2)
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Autocorrelation Metrics to Estimate Soil Moisture Persistence from Satellite Time Series: Application to Semiarid Regions
ArticleAbstract: Satellite-derived soil moisture (SM) products have become an important information source for the stPalabras claves:Advanced Microwave Scanning Radiometer-2 (AMSR2), Advanced Scatterometer (ASCAT), autocorrelation, e-folding time, Least Absolute Shrinkage and Selection Operator (LASSO), Lomb-Scargle periodogram, microwave sensors, Persistence, soil moisture, Soil Moisture and Ocean Salinity (SMOS), spatial-temporalAutores:Camps-Valls G., Guerrero-Curieses A., Jose Luis Rojo-Álvarez, Mun̈oz-Marí J., Piles M.Fuentes:scopusA review of kernel methods in ECG signal classification
Book PartAbstract: Kernel methods have been shown to be effective in the analysis of electrocardiogram (ECG) signals. TPalabras claves:Autores:Caamaño-Fernández A.J., Camps-Valls G., Guerrero-Martínez J.F., Jose Luis Rojo-ÁlvarezFuentes:scopusA support vector machine music algorithm
ArticleAbstract: This paper introduces a new Support Vector Machine (SVM) formulation for the direction of arrival (DPalabras claves:direction of arrival (DOA), Minimum Variance Distortionless Response (MVDR), MUltiple SIgnal Characterization (MUSIC), support vector machine (SVM)Autores:Camps-Valls G., Christodoulou C.G., El Gonnouni A., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M.Fuentes:scopusA unified SVM framework for signal estimation
ArticleAbstract: This paper presents a review in the form of a unified framework for tackling estimation problems inPalabras claves:Deconvolution, Digital processing, Filtering, Kernel method, Signal estimation, Spectral estimation, Support vector, system identificationAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusFuzzy sigmoid kernel for support vector classifiers
ArticleAbstract: This Letter proposes the use of the fuzzy sigmoid function presented in (IEEE Trans. Neural NetworksPalabras claves:Positive semi-definite kernel, sigmoid, SUPPORT VECTOR MACHINESAutores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martín-Guerrero J., Soria-Olivas E.Fuentes:scopusExplicit 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:scopusDigital signal processing with kernel methods
BookAbstract: A realistic and comprehensive review of joint approaches to machine learning and signal processing aPalabras claves:Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí 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:scopusMulti-Temporal Image Classification with Kernels
Book PartAbstract:Palabras claves:Binary Support Vector Machine classifier (SVM) and one-class Support Vector Domain Description (SVDD) classifier, Classifiers based on statistical learning theory, binary SVM and one-class SVDD classifier, Contextual and multi-source data fusion with kernels, Family of powerful nonlinear classification methods for multi-temporal classification, Good classification performance using spectral signature, Linking Gaussian Markov Random Fields (GMRF) at different dates, Multi-temporal classification and change detection with kernels, Multi-temporal classification of remote sensing images, Multi-temporal image classification with kernels, Two kernel-based formulationsAutores:Calpe-Maravilla J., Camps-Valls G., Gómez-Chova L., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Muñnoz-Marí J.Fuentes:scopus