Documentos de Camps-Valls G. | REDI

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Área de conocimiento: "Aprendizaje automático"

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Conference Object(1)

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Neurocomputing(3)

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)

IEEE Geoscience and Remote Sensing Letters(1)

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Ciencias de la computación(6)

Métodos informáticos especiales(6)

Farmacología y terapéutica(1)

Funcionamiento de bibliotecas y archivos(1)

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Ciencias de la computación(8)

Optimización matemática(2)

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Palabras Claves

SUPPORT VECTOR MACHINES(4)

Gamma filter(2)

support vector machine (SVM)(2)

Arrhythmia classification(1)

Binary Support Vector Machine classifier (SVM) and one-class Support Vector Domain Description (SVDD) classifier(1)

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.

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.

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.

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.

Nonlinear system identification with composite relevance vector machines

Abstract: Nonlinear system identification based on relevance vector machines (RVMs) has been traditionally add

Palabras claves:

Composite kernels, Nonlinear system identification, Relevance vector machine (RVM)

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

Nonuniform interpolation of noisy signals using support vector machines

Abstract: The problem of signal interpolation has been intensively studied in the Information Theory literatur

Palabras claves:

Dual Signal Model, Interpolation, Mercer's kernel, Nonuniform sampling, Primal signal model, signal, Sinc kernel, support vector machine (SVM)

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

Learning non-linear time-scales with kernel γ-filters

Abstract: A family of kernel methods, based on the γ-filter structure, is presented for non-linear system iden

Palabras claves:

Gamma filter, Kernel, Non-linear system identification, Support Vector Machine

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

Robust support vector regression for biophysical variable estimation from remotely sensed images

Abstract: This letter introduces the ε-Huber loss function in the support vector regression (SVR) formulation

Palabras 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-workshop

Bruzzone L., Camps-Valls G., Jose Luis Rojo-Álvarez, Melgani F.

Robust γ-filter using support vector machines

Abstract: 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-Filter

Camps-Valls G., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Soria-Olivas E.