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Digital Signal Processing with Kernel Methods(1)
Eurasip Journal on Advances in Signal Processing(1)
IEEE Geoscience and Remote Sensing Letters(1)
IEEE Signal Processing Letters(1)
IEEE Transactions on Antennas and Propagation(1)
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scopus(8)
Palabras Claves
Binary Support Vector Machine classifier (SVM) and one-class Support Vector Domain Description (SVDD) classifier(1)
Biophysical parameter estimation(1)
Classifiers based on statistical learning theory, binary SVM and one-class SVDD classifier(1)
Composite kernels(1)
Contextual and multi-source data fusion with kernels(1)
A 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: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: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: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:scopusNonlinear system identification with composite relevance vector machines
ArticleAbstract: Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally addPalabras claves:Composite kernels, Nonlinear system identification, Relevance vector machine (RVM)Autores:Camps-Valls G., 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:scopusSparse deconvolution using support vector machines
ArticleAbstract: Sparse deconvolution is a classical subject in digital signal processing, having many practical applPalabras claves:Autores:Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M., Mun̈oz-Marí J.Fuentes:scopusSupport vector machines in engineering: An overview
ReviewAbstract: This paper provides an overview of the support vector machine (SVM) methodology and its applicabilitPalabras claves:Autores:Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Salcedo-Sanz S.Fuentes:scopus