Documentos de Martinez-Ramon M. | REDI

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Área de conocimiento: "Aprendizaje automático"

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Conference Object(4)

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IEEE Signal Processing Letters(3)

IEEE Transactions on Signal Processing(2)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)

Neurocomputing(2)

Signal Processing(2)

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Ciencias de la computación(11)

Métodos informáticos especiales(8)

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Programación informática, programas, datos, seguridad(2)

Electricidad y electrónica(1)

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Ciencias de la computación(5)

Optimización matemática(5)

Inferencia estadística(2)

Comunicación(1)

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Palabras Claves

support vector machine (SVM)(3)

Adaptive arrays(2)

Array synthesis(2)

Direction of arrival estimation(2)

Gamma filter(2)

A robust support vector algorithm for nonparametric spectral analysis

Abstract: A new approach to the nonparametric spectral estimation on the basis of the support vector method (S

Palabras claves:

Spectral Analysis, Support vector method, Weighted least squares, Welch periodogram

Artés-Rodríguez A., Figueiras-Vidal A.R., García-Armada A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

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.

Deep Neural Nets for DOA Estimation with Random Arrays

Conference Object

Abstract: An ensemble deep neural net framework is introduced to process nonuniform antenna arrays with unknow

Palabras claves:

Adaptive arrays, Array synthesis, deep learning, Direction of arrival estimation, LSTM, Neural networks

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Gaussian Processes for Direction-of-Arrival Estimation with Random Arrays

Abstract: Gaussian process regression for direction-of-arrival (DOA) estimation in random linear arrays is for

Palabras claves:

Array interpolation, Complex Gaussian processes (GPS), direction of arrival (DOA), GP regression, Nonuniform array processing, Root-MuSiC, Signal interpolation, unsupervised learning

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, Martinez-Ramon M.

Gaussian process regression for array interpolation

Conference Object

Abstract: This paper introduces the Gaussian process regression formulation for estimating the bearings of sig

Palabras claves:

Adaptive arrays, Array synthesis, Complex Gaussian process, Direction of arrival estimation, Machine learning, Multivariate Gaussian processes, unsupervised learning

Christodoulou C.G., Gupta A., Jose Luis Rojo-Álvarez, 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.

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 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.