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Kernel Methods in Bioengineering, Signal and Image Processing(2)
Digital Signal Processing with Kernel Methods(1)
ECG Signal Processing, Classification and Interpretation: A Comprehensive Framework of Computational Intelligence(1)
Eurasip Journal on Advances in Signal Processing(1)
Expert Systems with Applications(1)
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scopus(12)
A 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: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: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: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:scopusKernel methods in bioengineering, signal and image processing
BookAbstract: In the last decade, a number of powerful kernel-based learning methods have been proposed in the macPalabras claves:Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M.Fuentes:scopusKernel-based framework for multitemporal and multisource remote sensing data classification and change detection
ArticleAbstract: The multitemporal classification of remote sensing images is a challenging problem, in which the effPalabras claves:Change detection, Information Fusion, kernel methods, Multisource, Multitemporal classification, Support vector (SV) domain description (SVDD), support vector machine (SVM)Autores:Camps-Valls G., Gómez-Chova L., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusRobust support vector regression for biophysical variable estimation from remotely sensed images
ArticleAbstract: This letter introduces the ε-Huber loss function in the support vector regression (SVR) formulationPalabras claves:Biophysical parameter estimation, Medium resolution imaging spectrometer (MERIS), Ocean chlorophyII concentration, regression, Robust cost function, Sea-viewing wide field-of-view sensor (SeaWiFS)/seawifs bio-optical algorithm mini-workshopAutores:Bruzzone L., Camps-Valls G., Jose Luis Rojo-Álvarez, Melgani F.Fuentes:scopus