PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Fernando Perez-Cruz

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Number of EPrints submitted by this user: 47

Extension of the nu-SVM Range for Classification
Fernando Perez-Cruz, Jason Weston, Daniel Herrmann and Bernhard Schölkopf
In: Advances in Learning Theory: Methods, Models and Applications Nato Science Series. (III). (2003) IOS Press , pp. 179-196. ISBN 1586033417

Kernel Methods and Their Potential Use in Signal Processing
Fernando Perez-Cruz and Olivier Bousquet
IEEE Signal Porcessing Magazine Volume 21, Number 3, pp. 57-64, 2004. ISSN 1053-5888

Empirical risk minimization for support vector classifiers
Fernando Perez-Cruz, Angel Navia-Vazquez, Anibal R. Figueiras-Vidal and Antonio Artes-Rodriguez
IEEE Transactions on Neural Networks Volume 14, Number 2, pp. 296-303, 2003. ISSN 1045-9227

SVM multiregression for nonlinear channel estimation in multiple-input multiple-output systems
Matilde Fernandez-Sanchez, Mario Prado-Cumplido, Jeronimo Arenas-Garcia and Fernando Perez-Cruz
IEEE Transactions on Signal Processing Volume 52, Number 8, pp. 2298-2307, 2004. ISSN 1053-587X

Enhancing genetic feature selection through restricted search and Walsh analysis
Sancho Salcedo-Sanz, Gustavo Camps-Valls, Fernando Perez-Cruz, Maria Jose Sepulveda-Sanchis and Carlos Bousono-Calzon
IEEE Transactions on Systems, Man and Cybernetics, Part C Volume 34, Number 4, pp. 398-406, 2004. ISSN 1094-6977

Multi-class support vector machines: a new approach
Jeronimo Arenas-Garcia and Fernando Perez-Cruz
In: ICASSP, 6-10 April 2003, Hong Kong.

Support vector machine for the simultaneous approximation of a function and its derivative
Marcelino Lazaro, Ignacio Santamaria, Fernando Perez-Cruz and Antonio Artes-Rodriguez
In: IEEE 13th Workshop on Neural Networks for Signal Processing, 2003. NNSP'03, 17-19 Sept. 2003, Toulouse.

Feature selection and transduction for prediction of molecular bioactivity for drug design
Jason Weston, Fernando Perez-Cruz, Andre Elisseeff, Olivier Bousquet, Olivier Chapelle and Bernhard Schölkopf
Bioinformatics Volume 19, Number 6764, pp. 764-771, 2003.

Estimating GARCH models using support vector machines
Fernando Perez-Cruz, Julio Afonso-Rodriguez and Javier Giner
Estimating GARCH models using support vector machines Volume 3, Number 3, pp. 163-172, 2003.

Kernel methods and their applications to signal processing
Olivier Bousquet and Fernando Perez-Cruz
In: IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03), 6-10 April 2003, Hong Kong.

Speeding up the IRWLS convergence to the SVM solution
Fernando Perez-Cruz and Antonio Artes-Rodriguez
In: International Joint Conference on Neural Networks, July 2004, Budapest.

Convergence of the IRWLS Procedure to the Support Vector Machine Solution
Fernando Perez-Cruz, Carlos Bousoño and Antonio Artes
Neural Computation Number 1, pp. 7-18, 2005.

Learning a Function and its Derivatives forcing the Support Vector Expansion
Marcelino Lazaro, Fernando Perez-Cruz and Antonio Artes
IEEE Signal Processing Letters Volume 12, Number 3, pp. 194-197, 2005.

Support Vector Regression for the Simultaneous Learning of a Multivariate Function and its Derivatives
Marcelino Lazaro, Ignacio Santamaria, Fernando Perez-Cruz and Antonio Artes
NeuroComputing 2003.

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications
Angel Navia, Fernando Perez-Cruz, Antonio Artes and Anibal Figueiras
Journal of VLSI Signal Processing Systems Volume 37, pp. 223-235, 2004.

Feature Selection Methods involving Support Vector Machines for Prediction of Insolvency in Non-life Insurance Companies
Sancho Salcedo, Mario de Prado, Maria Jesus Segovia, Fernando Perez-Cruz and Carlos Bousño
Intelligent Systems in Accounting, Finance and Management Volume 12, Number 4, pp. 261-281, 2004.

Kernel Conditional Graphical Model
Fernando Perez-Cruz, Zoubin Ghahramani and Massimiliano Pontil
In: Workshop “Graphical Models and Kernels”, Dec 2005, Whistler (Canada).

Gaussian Processes for Multiuser Detection
Juan Jose Murillo Fuentes and Fernando Perez-Cruz
In: NIPS, 5-10 Dec 2005, Vancouver, Canada.

Double Chunking for Solving SVMs for Very Large Datasets
Fernando Perez-Cruz, Anibal Figueiras and Antonio Artes
In: Learning'04, 22-24 Oct 2004, Alicante, Spain.

Gaussian Process Regressors for Multiuser Detection in DS-CDMA Systems
J. J. Murillo-Fuentes and Fernando Perez-Cruz
EEE Transactions on Communications Volume forthcoming, 2008.

Nonlinear Channel Equalization with Gaussian Processes for Regression
Fernando Perez-Cruz, J. J. Murillo-Fuentes and Sebastian Caro
IEEE Transactions on Signal Processing Volume 56, Number 10-2, pp. 5283-5286, 2008.

Digital Communication Receivers Using Gaussian Processes for Machine Learning
fernando Perez-Cruz and J. J. Murillo-Fuentes
ournal on Advances in Signal Processing 2008.

Conditional Graphical Models
Fernando Perez-Cruz, Massimiliano Pontil and Zoubin Ghahramani
In: Predicting Structured Data (2007) MIT Press , Cambridge, MA (USA) , pp. 265-282. ISBN 0-262-02617-1

Therapeutic Drug Monitoring of Kidney Transplant Recipients Using Profiled Support Vector Machines
G. Camps, E. Soria, J. Perez, Fernando Perez-Cruz, A. Artes-Rodriguez and N. V. Jimenez-Torres
IEEE Transactions on Systems, Man and Cybernetics, Part C Volume 37, Number 3, pp. 359-372, 2007.

Joint Source-Channel Coding with Concatenated LDPC Codes
M Fresia, Fernando Perez-Cruz, V Poor and S Verdu
In: Information Theory and Applications, 9-13 Feb 2009, San Diego, CA.

Estimation of Information Theoretic Measures for Continuous Random Variables
Fernando Perez-Cruz
In: Neural Information Processing Systems, 8-13 Dec 2008, Vancouver, Canada.

Kullback-Leibler Divergence Estimation of Continuous Distributions
Fernando Perez-Cruz
In: IEEE International Symposium on Information Theory (ISIT), July 2008, Toronto, Canada.

Optimal Precoding for Digital Subscriber Lines
Fernando Perez-Cruz, Massimiliano Rodrigues and S Verdu
In: International Conference on Communications (ICC), 19-23 May 2008, Beijing (China).

On the Uncertainty in Sequential Hypothesis Testing
R Santiago-Mozos, R. Fernandez-Lorenzana, Fernando Perez-Cruz and A Artes-Rodriguez
In: 5th IEEE International Symposium on Biomedical Imaging (ISBI), May 2008, Paris, France.

Optimal Input Covariance for Multiple-Input Multiple-Output Gaussian Channels with Arbitrary Inputs
M Rodrigues, Fernando Perez-Cruz and S Verdu
In: IEEE Information Theory Workshop (ITW), 5-9 May 2008, Porto, Portugal.

Extended Input Space Support Vector Machine
Ricardo Santiago-Mozos, Fernando Pérez-Cruz and Antonio Artes-Rodriguez
IEEE Transaction on Neural Networks Volume 22, Number 1, pp. 158-163, 2011. ISSN 1045-9227

Gaussian Process Regressors for Multiuser Detection in DS-CDMA Systems
Fernando Perez-Cruz and Juan Jose Murillo-Fuentes
IEEE Transactions on Communications Volume 57, Number 8, pp. 2339-2347, 2009.

Joint Nonlinear Channel Equalization and Soft LDPC Decoding with Gaussian Processes
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
IEEE Transactions on Signal Processing 2009.

MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation
Fernando Perez-Cruz, Miguel Rodrigues and Sergio Verdu
IEEE Transactions on Information Theory 2009.

Optimal Precoding for Multiple-Input Multiple-Output Gaussian Channels
fernando Perez-Cruz, Miguel Rodrigues and Sergio Verdu
In: Seminar PIIRS, April 2009, Princeton, NJ.

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
In: Eusipco, August, Glasgow UK.

Distributed Least Square for Consensus Building in Sensor Networks
Fernando Perez-Cruz and Sanjeev Kulkarni
In: IEEE ISIT, July, Seoul Korea.

Optimized Concatenated LDPC Codes for Joint Source-Channel Coding
Maria Fresia, Fernando Perez-Cruz and Vicent Poor
In: IEEE ISIT, July, Seoul Korea.

Joint Nonlinear Channel Equalization and Soft LDPC Decoding with Gaussian Processes
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
IEEE Transactions on Signal Processing Volume 58, Number 3, pp. 1183-1192, 2010. ISSN 1053-587X

MIMO Gaussian Channels with Arbitrary Inputs: Optimal Precoding and Power Allocation
Fernando Perez-Cruz, Miguel Rodrigues and Sergio Verdu
IEEE Transactions on Information Theory Volume 56, Number 3, pp. 1070-1084, 2010. ISSN 0018-9448

Robust and Low Complexity Distributed Kernel Least Squares Learning in Sensor Networks
Fernando Perez-Cruz and Sanjeev Kulkarni
IEEE Signal Processing Letters Volume 17, Number 4, pp. 355-358, 2010. ISSN 1070-9908

Joint Source and Channel Coding
Maria Fresia, Fernando Perez-Cruz, Vincent Poor and Sergio Verdu
IEEE Signal Processing Magazine Volume 27, Number 6, pp. 104-113, 2010. ISSN 1053-5888

Tree-Structured Expectation Propagation for Decoding Finite-Length LDPC Codes
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
IEEE Communications Letters Volume 15, Number 2, pp. 235-237, 2011. ISSN 1089-7798

Gaussian Processes and its Application to the design of Digital Communication Receivers
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
In: Application of Machine Learning (2010) InTech , pp. 181-206. ISBN 978-953-307-035-3

Channel Decoding with a Bayesian Equalizer
Luis Salamanca, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
In: IEEE ISIT 2010, June 13-18, 2010, Austin, TX.

Soft LDPC decoding in nonlinear channels with Gaussian processes for classification
Pablo Olmos, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
In: IEEE ISIT 2010, June 13-18, 2010, Austin, TX.

Bayesian BCJR for Channel Equalization and Decoding
Luis Salamanca, Juan Jose Murillo-Fuentes and Fernando Perez-Cruz
In: 2010 IEEE International Workshop on MACHINE LEARNING FOR SIGNAL PROCESSING, August 29 - September 1, 2010, Kittilä, Finland.