Martino, Luca luca.martino@urjc.es

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

PARTICLE GROUP METROPOLIS METHODS FOR TRACKING THE LEAF AREA INDEX

  • Martino, L
  • Elvira, V
  • Camps-Valls, G

2014 Ieee International Conference On Acoustics, Speech And Signal Processing (Icassp) (p. 5865-5869) - 1/1/2020

10.1109/icassp40776.2020.9053962 Ver en origen

  • ISSN 15206149

On the computation of marginal likelihood via mcmc for model selection and hypothesis testing

  • Llorente F
  • Martino L
  • Delgado D
  • López-Santiago J

(EUSIPCO 2020) 2020 28th European Signal Processing Conference - Virtual Conference<br/> (p. 2373-2377) - 1/1/2021

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

https://doi.org/10.23919/eusipco47968.2020.9287757 Ver en origen

  • ISSN 22195491

Overparametrized Deep Encoder-Decoder Schemes for Inputs and Outputs Defined over Graphs

  • Rey S
  • Tenorio V
  • Rozada S
  • Martino L
  • Marques AG

28th European Signal Processing Conference (Eusipco 2020) (p. 855-859) - 1/1/2021

10.23919/eusipco47968.2020.9287748 Ver en origen

  • ISSN 22195491

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