Maya Kallas

According to our database, Maya Kallas authored at least 12 papers between 2011 and 2018.

Collaborative distances:

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

2018

Sparse Reconstruction-Based Contribution for Multiple Fault Isolation by KPCA.

Gilles Mourot, Maya Kallas, Kwami Anani, Didier Maquin

Proceedings of the 26th Mediterranean Conference on Control and Automation, 2018

2015

Fault estimation of nonlinear processes using kernel principal component analysis.

Maya Kallas, Gilles Mourot, Didier Maquin, José Ragot

Proceedings of the 14th European Control Conference, 2015

2014

Kernel nonnegative matrix factorization without the curse of the pre-image.

Fei Zhu, Paul Honeine, Maya Kallas

CoRR, 2014

Kernel nonnegative matrix factorization without the pre-image problem.

Fei Zhu, Paul Honeine, Maya Kallas

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

2013

Kernel autoregressive models using Yule-Walker equations.

Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud

Signal Process., 2013

Non-negativity constraints on the pre-image for pattern recognition with kernel machines.

Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud

Pattern Recognit., 2013

2012

Multi-class SVM classification combined with kernel PCA feature extraction of ECG signals.

Maya Kallas, Clovis Francis, Lara Kanaan, Dalia Merheb, Paul Honeine, Hassan Amoud

Proceedings of the 19th International Conference on Telecommunications, 2012

Modeling electrocardiogram using Yule-Walker equations and kernel machines.

Maya Kallas, Clovis Francis, Paul Honeine, Hassan Amoud, Cédric Richard

Proceedings of the 19th International Conference on Telecommunications, 2012

Prediction of time series using Yule-Walker equations with kernels.

Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011

PCA and KPCA of ECG signals with binary SVM classification.

Lara Kanaan, Dalia Merheb, Maya Kallas, Clovis Francis, Hassan Amoud, Paul Honeine

Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

A comparative study of pre-image techniques: The kernel autoregressive case.

Maya Kallas, Paul Honeine, Clovis Francis, Hassan Amoud

Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Non-negative pre-image in machine learning for pattern recognition.

Maya Kallas, Paul Honeine, Cédric Richard, Clovis Francis, Hassan Amoud

Proceedings of the 19th European Signal Processing Conference, 2011