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Martino, Luca luca.martino@urjc.es

Teoría de la Señal y Comunicaciones y Sistemas Telemáticos y Computación / Universidad Rey Juan Carlos

Actividades

A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking

  • Arulampalam, MS
  • Maskell, S
  • Gordon, N
  • Clapp, T;

Ieee Transactions On Signal Processing (p. 174-188) - 1/2/2002

10.1109/78.978374 Ver en origen

  • ISSN 1053587X
Open Access

Generalized rejection sampling schemes and applications in signal processing

  • Martino, Luca
  • Miguez, Joaquin;

SIGNAL PROCESSING (p. 2981-2995) - 1/11/2010

https://doi.org/10.1016/j.sigpro.2010.04.025 Ver en origen

  • EISSN 1872-7557
  • ISSN 01651684
Open Access

A generalization of the adaptive rejection sampling algorithm

  • Martino, Luca
  • Miguez, Joaquin;

STATISTICS AND COMPUTING (p. 633-647) - 1/10/2011

https://doi.org/10.1007/s11222-010-9197-9 Ver en origen

  • EISSN 1573-1375
  • ISSN 09603174

Almost rejectionless sampling from Nakagami-m distributions (m >= 1)

  • Luengo, D.
  • Martino, L.;

Electronics Letters (p. 1559-1560) - 22/11/2012

10.1049/el.2012.3513 Ver en origen

  • ISSN 00135194
Open Access

Efficient sampling from truncated bivariate Gaussians via Box-Muller transformation

  • Martino, L.
  • Luengo, D.
  • Miguez, J.;

Electronics Letters (p. 1533-1534) - 22/11/2012

10.1049/el.2012.2816 Ver en origen

  • EISSN 1350-911X
  • ISSN 00135194

Efficient random variable generation: ratio of uniforms and polar rejection sampling

  • Luengo, D.
  • Martino, L.;

Electronics Letters (p. 326-U86) - 15/3/2012

10.1049/el.2012.0206 Ver en origen

  • ISSN 00135194

A multi-point Metropolis scheme with generic weight functions

  • Martino, Luca
  • Pascual Del Olmo, Victor
  • Read, Jesse;

Statistics & Probability Letters (p. 1445-1453) - 1/7/2012

10.1016/j.spl.2012.04.008 Ver en origen

  • ISSN 01677152

On the flexibility of the design of multiple try Metropolis schemes

  • Martino, Luca
  • Read, Jesse;

Computational Statistics (p. 2797-2823) - 1/12/2013

10.1007/s00180-013-0429-2 Ver en origen

  • ISSN 09434062

Efficient monte carlo methods for multi-dimensional learning with classifier chains

  • Read, Jesse
  • Martino, Luca
  • Luengo, David;

Pattern Recognition (p. 1535-1546) - 1/3/2014

10.1016/j.patcog.2013.10.006 Ver en origen

  • ISSN 00313203

On the variety of linear recurrences and numerical semigroups

  • Martino, Ivan
  • Martino, Luca;

Semigroup Forum (p. 569-574) - 1/6/2014

10.1007/s00233-013-9551-2 Ver en origen

  • ISSN 00371912

Este/a investigador/a no tiene libros.

Introduction to Africana Demography Lessons from Founders E. Franklin Frazier, WEB Du Bois, and the Atlanta School of Sociology Introduction

  • Martin, Lori Latrice;

Studies In Critical Social Sciences (p. 1-21) - 1/1/2021

10.1163/9789004433168_002 Ver en origen

  • ISSN 15734234

A Multi-Model Particle Filtering Algorithm for Indoor Tracking of Mobile Terminals Using RSS Data

  • Achutegui, Katrin
  • Martino, Luca
  • Rodas, Javier
  • Escudero, Carlos J.
  • Miguez, Joaquin;

Proceedings Of The Ieee Conference On Control Applications (p. 1702-+) - 1/1/2009

10.1109/cca.2009.5280960 Ver en origen

  • ISSN 10851992

AN ADAPTIVE ACCEPT/REJECT SAMPLING ALGORITHM FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2009 IEEE/SP 15TH WORKSHOP ON STATISTICAL SIGNAL PROCESSING, VOLS 1 AND 2 (p. 45-48) - 1/1/2009

10.1109/ssp.2009.5278644 Ver en origen

A NOVEL REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS

  • Martino, Luca
  • Miguez, Joaquin;

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 2921-2924) - 1/1/2009

10.1109/icassp.2009.4960235 Ver en origen

  • ISSN 15206149

A REJECTION SAMPLING SCHEME FOR POSTERIOR PROBABILITY DISTRIBUTIONS VIA THE RATIO-OF-UNIFORMS METHOD

  • Martino, Luca
  • Miguez, Joaquin;

28th European Signal Processing Conference (Eusipco 2020) (p. 174-178) - 1/1/2010

  • ISSN 20761465
  • iMarina

FULLY ADAPTIVE GAUSSIAN MIXTURE METROPOLIS-HASTINGS ALGORITHM

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 6148-6152) - 18/10/2013

10.1109/icassp.2013.6638846 Ver en origen

  • ISSN 15206149

EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS

  • LUENGO GARCIA, DAVID

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 3457-3461) - 18/10/2013

10.1109/icassp.2013.6638300 Ver en origen

  • ISSN 15206149

MONTE CARLO LIMIT CYCLE CHARACTERIZATION

  • Luengo D
  • Osés D
  • Martino L

Icassp, Ieee International Conference On Acoustics, Speech And Signal Processing - Proceedings (p. 8.043-8.047) - 1/1/2014

10.1109/icassp.2014.6855167 Ver en origen

  • ISSN 15206149

Independent Doubly Adaptive Rejection Metropolis Sampling

  • Martino L
  • Read J
  • Luengo D

Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 8.048-8.052) - 4/5/2014

10.1109/icassp.2014.6855158 Ver en origen

  • ISSN 15206149

An Adaptive Population Importance Sampler

  • Martino L
  • Elvira V
  • Luengo D
  • Corander J

Proceedings Of The 39th Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 8.088-8.092) - 4/5/2014

10.1109/icassp.2014.6855166 Ver en origen

  • ISSN 15206149

Orthogonal MCMC Algorithms

  • Martino L
  • Elvira V
  • Luengo D
  • Artés-Rodríguez A
  • Corander J

Proceedings Of The 2014 Ieee Workshop On Statistical Signal Processing (Ssp) (p. 364-367) - 29/6/2014

Editor: IEEE - THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, INC

10.1109/ssp.2014.6884651 Ver en origen

Adaptive quadrature schemes for Bayesian inference via active learning

  • Fernandez, Fernando Llorente
  • Martino, Luca
  • Elvira, Victor
  • Delgado, David
  • Lopez-Santiago, Javier;

IEEE Access (p. 208462-208483) - 1/12/2020

Editor: UNIVERSIDAD CARLOS III DE MADRID

https://doi.org/10.1109/access.2020.3038333 Ver en origen

  • EISSN 2169-3536
  • ISSN 21693536

Este/a investigador/a no tiene informes técnicos.

Este/a investigador/a no tiene proyectos de investigación.

Este/a investigador/a no tiene tesis dirigidas.

Este/a investigador/a no tiene patentes o licencias de software.

Última actualización de los datos: 5/03/24 16:41