Weifeng Liu

According to our database, Weifeng Liu authored at least 21 papers between 2006 and 2015.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2015

Theoretical Methods in Machine Learning.

Badong Chen, Weifeng Liu, José C. Príncipe

Proceedings of the Springer Handbook of Computational Intelligence, 2015

2013

Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.

Derong Liu, Charles Anderson, Ahmad Taher Azar, Giorgio Battistelli, Eduardo Bayro-Corrochano, Cristiano Cervellera, David A. Elizondo, Maurizio Filippone, Giorgio Gnecco, Xiaolin Hu, Tingwen Huang, Weifeng Liu, Wenlian Lu, Ana Maria Madureira, Igor Skrjanc, Thomas Villmann, Q. M. Jonathan Wu, Shengli Xie, Dong Xu

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

The eighth annual MLSP competition: Overview.

Ken Montanez, Weifeng Liu, Vince D. Calhoun, Catherine Huang, Kenneth E. Hild II

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2010

Fixed-budget kernel recursive least-squares.

Steven Van Vaerenbergh, Ignacio Santamaría, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2010

Correntropy for Random Processes: Properties and Applications in Signal Processing.

Puskal P. Pokharel, Ignacio Santamaría, Jianwu Xu, Kyu-Hwa Jeong, Weifeng Liu

Proceedings of the Information Theoretic Learning, 2010

Correntropy for Random Variables: Properties and Applications in Statistical Inference.

Weifeng Liu, Puskal P. Pokharel, Jian-Wu Xu, Sohan Seth

Proceedings of the Information Theoretic Learning, 2010

Nonlinear Adaptive Filtering with MEE, MCC, and Applications.

Deniz Erdogmus, Rodney Morejon, Weifeng Liu

Proceedings of the Information Theoretic Learning, 2010

Adaptive Information Filtering with Error Entropy and Error Correntropy Criteria.

Deniz Erdogmus, Weifeng Liu

Proceedings of the Information Theoretic Learning, 2010

2009

Extended kernel recursive least squares algorithm.

Weifeng Liu, Il Park, Yiwen Wang, José C. Príncipe

IEEE Trans. Signal Process., 2009

An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.

Weifeng Liu, Il Park, José C. Príncipe

IEEE Trans. Neural Networks, 2009

A low complexity robust detector in impulsive noise.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

Kernel least mean square algorithm with constrained growth.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Signal Process., 2009

The correntropy MACE filter.

Kyu-Hwa Jeong, Weifeng Liu, Seungju Han, Erion Hasanbelliu, José C. Príncipe

Pattern Recognit., 2009

2008

The Kernel Least-Mean-Square Algorithm.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2008

Kernel Affine Projection Algorithms.

Weifeng Liu, José C. Príncipe

EURASIP J. Adv. Signal Process., 2008

The wellposedness analysis of the kernel adaline.

Weifeng Liu, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

Correntropy: Properties and Applications in Non-Gaussian Signal Processing.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

IEEE Trans. Signal Process., 2007

A unifying criterion for instantaneous blind source separation based on correntropy.

Ruijiang Li, Weifeng Liu, José C. Príncipe

Signal Process., 2007

Kernel LMS.

Puskal P. Pokharel, Weifeng Liu, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

A New Information Theoretic Measure of PDF Symmetry.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Correntropy: A Localized Similarity Measure.

Weifeng Liu, Puskal P. Pokharel, José C. Príncipe

Proceedings of the International Joint Conference on Neural Networks, 2006