Documentos de Mun̈oz-Marí J. | REDI

Regresar

Mostrando 7 resultados de: 7

Filtros aplicados

Objetivos de Desarrollo Sostenible: "ODS 9: Industria, innovación e infraestructura"

Subtipo de publicación

Publisher

Digital Signal Processing with Kernel Methods(1)

Digital Signal Processing: A Review Journal(1)

IEEE Signal Processing Letters(1)

IEEE Transactions on Geoscience and Remote Sensing(1)

IEEE Transactions on Neural Networks(1)

Área temáticas

Ciencias de la computación(3)

Métodos informáticos especiales(2)

Física aplicada(1)

Programación informática, programas, datos, seguridad(1)

Área de conocimiento

Aprendizaje automático(3)

Optimización matemática(3)

Ciencias de la computación(2)

Procesamiento de señales(2)

Objetivos de Desarrollo Sostenible

ODS 4: Educación de calidad(5)

ODS 17: Alianzas para lograr los objetivos(4)

ODS 3: Salud y bienestar(2)

ODS 13: Acción por el clima(1)

ODS 15: Vida de ecosistemas terrestres(1)

Año de Publicación

Origen

Palabras Claves

kernel methods(2)

Change detection(1)

Composite kernels(1)

Deconvolution(1)

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.

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.

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.

Kernel-based framework for multitemporal and multisource remote sensing data classification and change detection

Abstract: The multitemporal classification of remote sensing images is a challenging problem, in which the eff

Palabras claves:

Change detection, Information Fusion, kernel methods, Multisource, Multitemporal classification, Support vector (SV) domain description (SVDD), support vector machine (SVM)

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

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.

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.

Support vector machines for nonlinear Kernel ARMA system identification

Abstract: Nonlinear system identification based on support vector machines (SVM) has been usually addressed by

Palabras claves:

Camps-Valls G., Figueiras-Vidal A.R., Jose Luis Rojo-Álvarez, Martinez-Ramon M., Mun̈oz-Marí J., Navia-Vázquez A., Soria-Olivas E.