Documentos de Camps-Valls G. | REDI

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Mostrando 10 resultados de: 23

Subtipo de publicación

Conference Object(1)

Publisher

Neurocomputing(3)

IEEE Transactions on Antennas and Propagation(2)

IEEE Transactions on Geoscience and Remote Sensing(2)

Kernel Methods in Bioengineering, Signal and Image Processing(2)

Communications in Computer and Information Science(1)

Área temáticas

Ciencias de la computación(8)

Métodos informáticos especiales(8)

Física aplicada(5)

Medicina y salud(2)

Programación informática, programas, datos, seguridad(2)

Área de conocimiento

Aprendizaje automático(13)

Ciencias de la computación(12)

Optimización matemática(3)

Procesamiento de señales(3)

Año de Publicación

Origen

Palabras Claves

SUPPORT VECTOR MACHINES(5)

support vector machine (SVM)(3)

Gamma filter(2)

Kernel method(2)

Spectral estimation(2)

Autocorrelation Metrics to Estimate Soil Moisture Persistence from Satellite Time Series: Application to Semiarid Regions

Abstract: Satellite-derived soil moisture (SM) products have become an important information source for the st

Palabras 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-temporal

Camps-Valls G., Guerrero-Curieses A., Jose Luis Rojo-Álvarez, Mun̈oz-Marí J., Piles M.

A review of kernel methods in ECG signal classification

Abstract: Kernel methods have been shown to be effective in the analysis of electrocardiogram (ECG) signals. T

Palabras claves:

Caamaño-Fernández A.J., Camps-Valls G., Guerrero-Martínez J.F., Jose Luis Rojo-Álvarez

A support vector machine music algorithm

Abstract: This paper introduces a new Support Vector Machine (SVM) formulation for the direction of arrival (D

Palabras claves:

direction of arrival (DOA), Minimum Variance Distortionless Response (MVDR), MUltiple SIgnal Characterization (MUSIC), support vector machine (SVM)

Camps-Valls G., Christodoulou C.G., El Gonnouni A., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

A unified SVM framework for signal estimation

Abstract: This paper presents a review in the form of a unified framework for tackling estimation problems in

Palabras claves:

Deconvolution, Digital processing, Filtering, Kernel method, Signal estimation, Spectral estimation, Support vector, system identification

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.

Fuzzy sigmoid kernel for support vector classifiers

Abstract: This Letter proposes the use of the fuzzy sigmoid function presented in (IEEE Trans. Neural Networks

Palabras claves:

Positive semi-definite kernel, sigmoid, SUPPORT VECTOR MACHINES

Camps-Valls G., Jose Luis Rojo-Álvarez, Martín-Guerrero J., Soria-Olivas E.

Explicit recursive and adaptive filtering in reproducing kernel hilbert spaces

Abstract: This brief presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces.

Palabras claves:

Adaptive, autoregressive and moving-average, filter, kernel methods, recursive

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Tuia D.

Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection

Conference Object

Abstract: Early detection of ventricular fibrillation (VF) is crucial for the success of the defibrillation th

Palabras claves:

Arrhythmia classification, Bootstrap, feature selection, SUPPORT VECTOR MACHINES, Ventricular fibrillation detection

Alonso-Atienza F., Camps-Valls G., GarcÍa-Alberola A., Jose Luis Rojo-Álvarez, Rosado-Muñoz A., Vinagre J.J.

Digital signal processing with kernel methods

Abstract: A realistic and comprehensive review of joint approaches to machine learning and signal processing a

Palabras claves:

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J.

Discrete time signal processing framework with support vector machines

Abstract: Digital signal processing (DSP) of time series using SVM has been addressed in the literature with a

Palabras claves:

Camps-Valls G., Figuera-Pozuelo C., Jose Luis Rojo-Álvarez, Martínez-Cruz C.E., Martinez-Ramon M.

Multi-Temporal Image Classification with Kernels

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 formulations

Calpe-Maravilla J., Camps-Valls G., Gómez-Chova L., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Muñnoz-Marí J.