José Carlos Príncipe

Publication Activity (10 Years)

Years Active: 1990-2017
Publications (10 Years): 3

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Signal Process.

IEEE Trans. Biomed. Eng.

IEEE Signal Process. Lett.

Publications

Kan Li, José Carlos Príncipe
Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm. IEEE Trans. Signal Process. 65 (24) (2017)
Qihang Yu, Yongqiang Ma, Badong Chen, José Carlos Príncipe, Nanning Zheng, Pengju Ren
A reconfigurable parallel FPGA accelerator for the adapt-then-combine diffusion LMS algorithm. ISCAS (2016)
Liangjun Chen, Hua Qu, Ji-hong Zhao, Badong Chen, José Carlos Príncipe
Efficient and robust deep learning with Correntropy-induced loss function. Neural Comput. Appl. 27 (4) (2016)
Aluisio I. Rêgo Fontes, Allan de M. Martins, Luiz Felipe Q. Silveira, José Carlos Príncipe
Performance evaluation of the correntropy coefficient in automatic modulation classification. Expert Syst. Appl. 42 (1) (2015)
Matthew Emigh, Evan Kriminger, José Carlos Príncipe
A model based approach to exploration of continuous-state MDPs using Divergence-to-Go. MLSP (2015)
Cristiane C. S. da Silva, Allan Kardec Barros, Ewaldo Eder Carvalho Santana, Marcos A. F. de Araújo, Marcus V. de S. Lopes, João Viana da Fonseca Neto, José Carlos Príncipe
An algorithm based on non-squared sum of the errors. Signal Process. 117 (2015)
Vítor Grade Tavares, Cândido Duarte, Pedro Guedes de Oliveira, José Carlos Príncipe
Filter & hold: a mixed continuous-/discrete-time technique for time-constant scaling. Int. J. Circuit Theory Appl. 43 (12) (2015)
Andrés Marino Álvarez-Meza, Germán Castellanos-Domínguez, José Carlos Príncipe
Functional relevant multichannel kernel adaptive filter for human activity analysis. ICASSP (2014)
Zhaohui Wu, Gang Pan, José Carlos Príncipe, Andrzej Cichocki
Cyborg Intelligence: Towards Bio-Machine Intelligent Systems. IEEE Intell. Syst. 29 (6) (2014)
Erion Hasanbelliu, Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe
Information Theoretic Shape Matching. IEEE Trans. Pattern Anal. Mach. Intell. 36 (12) (2014)
Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe
Quantized Kernel Recursive Least Squares Algorithm. IEEE Trans. Neural Networks Learn. Syst. 24 (9) (2013)
Badong Chen, José Carlos Príncipe
Maximum Correntropy Estimation Is a Smoothed MAP Estimation. IEEE Signal Process. Lett. 19 (8) (2012)
Pablo Huijse, Pablo A. Estévez, Pavlos Protopapas, Pablo Zegers, José Carlos Príncipe
An Information Theoretic Algorithm for Finding Periodicities in Stellar Light Curves. IEEE Trans. Signal Process. 60 (10) (2012)
Sohan Seth, José Carlos Príncipe
Assessing Granger Non-Causality Using Nonparametric Measure of Conditional Independence. IEEE Trans. Neural Networks Learn. Syst. 23 (1) (2012)
Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan
Mixture of designer experts for multi-regime detection in streaming data. EUSIPCO (2012)
Badong Chen, Songlin Zhao, Pingping Zhu, José Carlos Príncipe
Quantized Kernel Least Mean Square Algorithm. IEEE Trans. Neural Networks Learn. Syst. 23 (1) (2012)
Bilal Fadlallah, Sohan Seth, Andreas Keil, José Carlos Príncipe
Quantifying Cognitive State From EEG Using Dependence Measures. IEEE Trans. Biomed. Eng. 59 (10) (2012)
Badong Chen, Pingping Zhu, José Carlos Príncipe
Survival Information Potential: A New Criterion for Adaptive System Training. IEEE Trans. Signal Process. 60 (3) (2012)
Alexander Singh-Alvarado, Choudur Lakshminarayan, José Carlos Príncipe
Time-Based Compression and Classification of Heartbeats. IEEE Trans. Biomed. Eng. 59 (6) (2012)
Luis Gonzalo Sánchez Giraldo, José Carlos Príncipe
An efficient rank-deficient computation of the Principle of Relevant Information. ICASSP (2011)
Sohan Seth, Austin J. Brockmeier, José Carlos Príncipe
A metric approach toward point process divergence. ICASSP (2011)
Alexander Singh-Alvarado, José Carlos Príncipe
From compressive to adaptive sampling of neural and ECG recordings. ICASSP (2011)
Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas
Period Estimation in Astronomical Time Series Using Slotted Correntropy. IEEE Signal Process. Lett. 18 (6) (2011)
Songlin Zhao, José Carlos Príncipe
A nonparametric information theoretic approach for change detection in time series. IJCNN (2011)
Il Park, Sohan Seth, Murali Rao, José Carlos Príncipe
Estimation of symmetric chi-square divergence for point processes. ICASSP (2011)
Pablo Huijse, Pablo A. Estévez, Pablo Zegers, José Carlos Príncipe, Pavlos Protopapas
Period Estimation in Astronomical Time Series Using Slotted Correntropy CoRR (2011)
Evan Kriminger, José Carlos Príncipe, Choudur Lakshminarayan
Modified embedding for multi-regime detection in nonstationary streaming data. ICASSP (2011)
Pablo A. Vera, Pablo A. Estévez, José Carlos Príncipe
Linear Projection Method Based on Information Theoretic Learning. ICANN (3) (2010)
Robert Jenssen, José Carlos Príncipe
Information theoretic clustering. Scholarpedia 5 (10) (2010)
Diego Álvarez-Estévez, José Carlos Príncipe, Vicente Moret-Bonillo
Information Theoretic fuzzy modeling for regression. FUZZ-IEEE (2010)
Sohan Seth, Il Memming Park, Austin J. Brockmeier, Mulugeta Semework, John S. Choi, Joseph T. Francis, José Carlos Príncipe
A novel family of non-parametric cumulative based divergences for point processes. NIPS (2010)
Diego Álvarez-Estévez, José Carlos Príncipe, Vicente Moret-Bonillo
Neuro-Fuzzy Classification Using the Correntropy Criterion: Application to Sleep Depth Estimation. IC-AI (2010)
Abhishek Singh, José Carlos Príncipe
Using Correntropy as a cost function in linear adaptive filters. IJCNN (2009)
Justin C. Sanchez, José Carlos Príncipe
Prerequesites for Symbiotic Brain-Machine Interfaces. SMC (2009)
Aysegul Gunduz, José Carlos Príncipe
Correntropy as a novel measure for nonlinearity tests. Signal Process. 89 (1) (2009)
Justin C. Sanchez, Renato J. O. Figueiredo, José A. B. Fortes, José Carlos Príncipe
Development of Symbiotic Brain-Machine Interfaces Using a Neurophysiology Cyberworkstation. HCI (2) (2009)
Sohan Seth, José Carlos Príncipe
On speeding up computation in information theoretic learning. IJCNN (2009)
Dongliang Duan, Fengzhong Qu, Liuqing Yang, Ananthram Swami, José Carlos Príncipe
Modulation selection from a battery power efficiency perspective: a case study of PPM and OOK. WCNC (2009)
Erion Hasanbelliu, José Carlos Príncipe, K. Clint Slatton
Correntropy Based Matched Filtering for Classification in Sidescan Sonar Imagery. SMC (2009)
Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces. IJCNN (2009)
Shalom Darmanjian, José Carlos Príncipe
Hierarchical clustering of neural data using Linked-Mixtures of Hidden Markov Models for Brain Machine Interfaces. ICASSP (2009)
Sheng-Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, José Carlos Príncipe, Justin C. Sanchez
A Biphasic Integrate-and-fire System. ISCAS (2009)
Jian-Wu Xu, António R. C. Paiva, Il Park, José Carlos Príncipe
A Reproducing Kernel Hilbert Space Framework for Information-Theoretic Learning. IEEE Trans. Signal Process. 56 (12) (2008)
Il Park, José Carlos Príncipe
Correntropy based Granger causality. ICASSP (2008)
Jian-Wu Xu, José Carlos Príncipe
A Pitch Detector Based on a Generalized Correlation Function. IEEE Trans. Speech Audio Process. 16 (8) (2008)
Allan Kardec Barros, José Carlos Príncipe, Deniz Erdogmus
Independent Component Analysis and Blind Source Separation. Signal Process. 87 (8) (2007)
Mustafa C. Ozturk, Dongming Xu, José Carlos Príncipe
Analysis and Design of Echo State Networks. Neural Comput. 19 (1) (2007)
Rizwan Bashirullah, John G. Harris, Justin C. Sanchez, Toshikazu Nishida, José Carlos Príncipe
Florida Wireless Implantable Recording Electrodes (FWIRE) for Brain Machine Interfaces. ISCAS (2007)
Seungju Han, Sudhir Rao, Deniz Erdogmus, Kyu-Hwa Jeong, José Carlos Príncipe
A minimum-error entropy criterion with self-adjusting step-size (MEE-SAS). Signal Process. 87 (11) (2007)
Mustafa C. Ozturk, José Carlos Príncipe
An associative memory readout for ESNs with applications to dynamical pattern recognition. Neural Networks 20 (3) (2007)
Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe
Real time input subset selection for linear time-variant MIMO systems. Optim. Methods Softw. 22 (1) (2007)
Sudhir Rao, Seungju Han, José Carlos Príncipe
Information Theoretic Vector Quantization with Fixed Point Updates. IJCNN (2007)
Herbert Jaeger, Wolfgang Maass, José Carlos Príncipe
Special issue on echo state networks and liquid state machines. Neural Networks 20 (3) (2007)
Jeongho Cho, António R. C. Paiva, Sung-Phil Kim, Justin C. Sanchez, José Carlos Príncipe
Self-organizing maps with dynamic learning for signal reconstruction. Neural Networks 20 (2) (2007)
Dongming Xu, José Carlos Príncipe
Computation in a reduced KII network based on synchronization. Int. J. Intell. Syst. 21 (9) (2006)
Ignacio Santamaría, Puskal P. Pokharel, José Carlos Príncipe
Generalized correlation function: definition, properties, and application to blind equalization. IEEE Trans. Signal Process. 54 (6-1) (2006)
António R. C. Paiva, Jian-Wu Xu, José Carlos Príncipe
Kernel Principal Components Are Maximum Entropy Projections. ICA (2006)
Kenneth E. Hild II, Deniz Erdogmus, José Carlos Príncipe
Experimental upper bound for the performance of convolutive source separation methods. IEEE Trans. Signal Process. 54 (2) (2006)
Allan Kardec Barros, José Carlos Príncipe, Yoshinori Takeuchi, Noboru Ohnishi
Using non-linear even functions for error minimization in adaptive filters. Neurocomputing 70 (1-3) (2006)
Seungju Han, Sudhir Rao, José Carlos Príncipe
Estimating the Information Potential with the Fast Gauss Transform. ICA (2006)
Jing Hu, Jianbo Gao, José Carlos Príncipe
Analysis of Biomedical Signals by the Lempel-Ziv Complexity: the Effect of Finite Data Size. IEEE Trans. Biomed. Eng. 53 (12) (2006)
José A. B. Fortes, Renato J. O. Figueiredo, Linda Hermer-Vazquez, José Carlos Príncipe, Justin C. Sanchez
A New Architecture for Deriving Dynamic Brain-Machine Interfaces. International Conference on Computational Science (3) (2006)
Pengfei Li, Rizwan Bashirullah, José Carlos Príncipe
A low power battery management system for rechargeable wireless implantable electronics. ISCAS (2006)
Anant Hegde, José Carlos Príncipe, Deniz Erdogmus, Umut Ozertem, Yadunandana N. Rao, Hemanth Peddaneni
Perturbation-Based Eigenvector Updates for On-Line Principal Components Analysis and Canonical Correlation Analysis. J. VLSI Signal Process. 45 (1-2) (2006)
Jeongho Cho, José Carlos Príncipe, Deniz Erdogmus, Mark A. Motter
Modeling and inverse controller design for an unmanned aerial vehicle based on the self-organizing map. IEEE Trans. Neural Networks 17 (2) (2006)
Du Chen, Yuan Li, Dongming Xu, John G. Harris, José Carlos Príncipe
Asynchronous biphasic pulse signal coding and its CMOS realization. ISCAS (2006)
José Carlos Príncipe
Information Theoretic Learning. PRIS (2005)
Deniz Erdogmus, José Carlos Príncipe
Information Theoretic Signal Processing. Signal Process. 85 (5) (2005)
Deniz Erdogmus, Rati Agrawal, José Carlos Príncipe
A mutual information extension to the matched filter. Signal Process. 85 (5) (2005)
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering. EMMCVPR (2005)
Kyu-Hwa Jeong, Jian-Wu Xu, Deniz Erdogmus, José Carlos Príncipe
A new classifier based on information theoretic learning with unlabeled data. Neural Networks 18 (5-6) (2005)
Tue Lehn-Schiøler, Anant Hegde, Deniz Erdogmus, José Carlos Príncipe
Vector quantization using information theoretic concepts. Nat. Comput. 4 (1) (2005)
Kenneth E. Hild II, David Pinto, Deniz Erdogmus, José Carlos Príncipe
Convolutive blind source separation by minimizing mutual information between segments of signals. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2005)
Anant Hegde, Deniz Erdogmus, Deng-Shan Shiau, José Carlos Príncipe, J. Chris Sackellares
Quantifying spatio-temporal dependencies in epileptic ECOG. Signal Process. 85 (11) (2005)
José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15 (4) (2004)
Dongming Xu, José Carlos Príncipe
Dynamical analysis of neural oscillators in an olfactory cortex model. IEEE Trans. Neural Networks 15 (5) (2004)
Vikas Sindhwani, Subrata Rakshit, Dipti Deodhare, Deniz Erdogmus, José Carlos Príncipe, Partha Niyogi
Feature selection in MLPs and SVMs based on maximum output information. IEEE Trans. Neural Networks 15 (4) (2004)
Luis Vielva, Ignacio Santamaría, Jesús Ibáñez, Deniz Erdogmus, José Carlos Príncipe
On the Estimation of the Mixing Matrix for Underdetermined Blind Source Separation in an Arbitrary Number of Dimensions. ICA (2004)
Dongming Xu, José Carlos Príncipe, John G. Harris
Logic computation using coupled neural oscillators. ISCAS (5) (2004)
José Carlos Príncipe
Editorial. IEEE Trans. Biomed. Eng. 51 (1) (2004)
Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures. ICA (2004)
Deniz Erdogmus, Kenneth E. Hild II, Yadunandana N. Rao, José Carlos Príncipe
Minimax Mutual Information Approach for Independent Component Analysis. Neural Comput. 16 (6) (2004)
Rodney A. Morejon, José Carlos Príncipe
Advanced search algorithms for information-theoretic learning with kernel-based estimators. IEEE Trans. Neural Networks 15 (4) (2004)
Robert Jenssen, Deniz Erdogmus, José Carlos Príncipe, Torbjørn Eltoft
The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space. NIPS (2004)
Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
Measuring the signal-to-noise ratio in magnetic resonance imaging: a caveat. Signal Process. 84 (6) (2004)
Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe
Gaussianizing Transformations for ICA. ICA (2004)
Deniz Erdogmus, Erik G. Larsson, Rui Yan, José Carlos Príncipe, Jeffrey R. Fitzsimmons
Asymptotic SNR-performance of some image combination techniques for phased-array MRI. Signal Process. 84 (6) (2004)
Dongming Xu, Liping Deng, John G. Harris, José Carlos Príncipe
Design of a reduced KII set and network in analog VLSI. ISCAS (5) (2003)
Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
Linear Least-Squares Based Methods for Neural Networks Learning. ICANN (2003)
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II, José Carlos Príncipe, Torbjørn Eltoft
Information Force Clustering Using Directed Trees. EMMCVPR (2003)
Deniz Erdogmus, Yadunandana N. Rao, José Carlos Príncipe, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
Recursive Least Squares for an Entropy Regularized MSE Cost Function. ESANN (2003)
Yadunandana N. Rao, Deniz Erdogmus, Geetha Y. Rao, José Carlos Príncipe
Stochastic error whitening algorithm for linear filter estimation with noisy data. Neural Networks 16 (5-6) (2003)
Sung-Phil Kim, Justin C. Sanchez, Deniz Erdogmus, Yadunandana N. Rao, Johan Wessberg, José Carlos Príncipe, Miguel A. L. Nicolelis
Divide-and-conquer approach for brain machine interfaces: nonlinear mixture of competitive linear models. Neural Networks 16 (5-6) (2003)
Ignacio Santamaría, Rafael González Ayestarán, Carlos Pantaleón, José Carlos Príncipe
Maximum margin equalizers trained with the Adatron algorithm. Signal Process. 83 (3) (2003)
Andrew Y. Lin, Karl S. Gugel, José Carlos Príncipe
Feasibility of Fixed-Point Transversal Adaptive Filters in FPGA Devices with Embedded DSP Blocks. IWSOC (2003)
Oscar Fontenla-Romero, Deniz Erdogmus, José Carlos Príncipe, Amparo Alonso-Betanzos, Enrique F. Castillo
Accelerating the convergence speed of neural networks learning methods using least squares. ESANN (2003)
Oscar Fontenla-Romero, Amparo Alonso-Betanzos, Enrique F. Castillo, José Carlos Príncipe, Bertha Guijarro-Berdiñas
Local Modeling Using Self-Organizing Maps and Single Layer Neural Networks. ICANN (2002)
Deniz Erdogmus, José Carlos Príncipe
Generalized information potential criterion for adaptive system training. IEEE Trans. Neural Networks 13 (5) (2002)
Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. ICANN (2002)
Deniz Erdogmus, José Carlos Príncipe
Insights on the relationship between probability of misclassification and information transfer through classifiers. Int. J. Comput. Syst. Signals 3 (1) (2002)

José Carlos Príncipe.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

José Carlos Príncipe