Youness Aliyari, Ph.D.
Postdoctoral fellow at UHN
Publication
Book chapter
Published journal papers
11. Y. Aliyari, F. Rudzicz, The mean shift algorithm and its relation to kernel regression, Information Sciences, vol. 348, pp. 198-208,
June 2016. (link)
10. Y. Aliyari, F. Rudzicz, H. A. Moghaddam, Fast adaptive algorithms for optimal feature extraction from Gaussian data, Pattern Recognition Letters, vol. 70, no. 7, pp. 73-79, January 2016. (link)
9. Y. Aliyari, F. Rudzicz, An Incremental Algorithm for Finding Principal Curves, IET Signal Processing, vol. 9, no. 7, pp. 521-528, September 2015. (link)
8. Y. Aliyari, On the convergence of the mean shift algorithm with the Gaussian kernel, Journal of Multivariate Analysis, vol. 15, pp. 1-10, March 2015. (pdf) (link)
7. Y. Aliyari, Asymptotic stability of equilibrium points of mean shift algorithm, Machine Learning, vol. 98, no. 3, pp. 359-368, 2015. (pdf) (link)
6. Y. Aliyari, F. Rudzicz, H. Mogahddam, Fast incremental linear discriminant analyis, Pattern Recognition, vol. 48, no. 6, pp. 1999-2012, 2015. (link)
5. Y. Aliyari, F. Rudzicz, Noisy source vector quantization using kernel regression, IEEE Transactions on Communications, vol. 62, no. 11, pp. 3825-3834, Nov. 2014 (link)
4. Y. Aliyari, T. Linder, G. Takahara, On some convergence properties of the subspace constrained mean shift, Pattern Recognition, vol. 46, no. 11, pp. 3140-3147, 2013. (pdf) (link)
3. Y. Aliyari, H. Moghaddam, Adaptive linear discriminant analysis for online feature extraction, Machine Vision and Applications, vol. 24, no. 4, pp. 777-794, 2013. (pdf) (link)
2. Y. Aliyari, On the convergence of the mean shift algorithm in the one-dimensional space , Pattern Recognition Letters, vol. 34, no. 12, pp. 1423-1427, 2013. (pdf) (link)
1. Y. Aliyari, H. Moghaddam, Adaptive algorithms and networks for optimal feature extraction from Gaussian data, Pattern Recognition Letters, vol. 31, no. 11, pp. 1331-1341, 2010. (pdf) (link)
1. Y. Aliyari, F. Rudzicz, The mean shift algorithm and its relation to kernel regression.
2. Y. Aliyari, F. Rudzicz, Noisy source vector quantization using kernel regression.
3. Y. Aliyari, A recursive algorithm for finding inverse of Vandermonde matrix
4. Y. Aliyari, A note on eigenvalues of sum of two real symmetric matrices.
1. Y. Aliyari, T. Linder, G. Takahara, On applications of SCMS algorithm.
2. Y. Aliyari, F. Rudzicz, Modified mean shift algorithm.
10. E. Parisotto, Y. Aliyari, M. J. MacDonald, A. Cozma, E. W. Pang, F. Rudzicz, Automatic identification of received language in MEG, In Proceedings of Interspeech 2015. (pdf)
9. E. Parisotto, Y. Aliyari, S. Freydoonnejad, F. Rudzicz, EEG dimensionality reduction in automatic identification of synonymy, 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Accepted.
8. Y. Aliyari, T. Linder, G. Takahara, On the convergence and applications of mean shift type algorithms, 25th Canadian Conference on Electrical and Computer Engineering (CCECE), Montreal, Canada, Apr. 2012. (pdf) (link)
7. Y. Aliyari, T. Linder, G. Takahara, On noisy source vector quantization via a subspace constrained mean shift algorithm, 26th Biennial Symposium on Communications, Kingston, Canada, May 2012. (pdf) (link)
6. Y. Aliyari, A. Ghavami, H. Moghaddam, A new incremental face recognition system, 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, Germany, Sep. 2008. (pdf) (link)
5. Y. Aliyari, H. Moghaddam, Self organized networks for optimal feature extraction, 7th IEEE Symposium on Computational Intelligent in Robotics and Automation (CIRA), USA, June 2007. (link)
4. Y. Aliyari, H. Moghaddam, M. Teshnehlab, Adaptive modified PCA for face recognition, 10th IAPR Conference on Machine Vision Applications (MVA), Japan, May 2007. (pdf) (link)
3. Y. Aliyari, H. Moghaddam, New adaptive algorithms and networks for on-line feature extraction from Gaussian data, 16th IEEE Conference on Control Applications (CCA), Singapore, Oct. 2007. (link)
2. Y. Aliyari, H. Abrishami, A face recognition system using neural networks with incremental learning ability, 7th IEEE Symposium on Computational Intelligent in Robotics and Automation (CIRA), USA, June 2007. (pdf) (link)
1. Y. Aliyari, N. Forghani, M. Forouzanfar, M. Teshnehlab, MRI fuzzy segmentation of brain tissue using IFCM algorithm with genetic algorithm optimization, ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Jordan, May 2007. (pdf) (link)
10. Y. Aliyari, F. Rudzicz, H. A. Moghaddam, Fast adaptive algorithms for optimal feature extraction from Gaussian data, Pattern Recognition Letters, vol. 70, no. 7, pp. 73-79, January 2016. (link)
9. Y. Aliyari, F. Rudzicz, An Incremental Algorithm for Finding Principal Curves, IET Signal Processing, vol. 9, no. 7, pp. 521-528, September 2015. (link)
8. Y. Aliyari, On the convergence of the mean shift algorithm with the Gaussian kernel, Journal of Multivariate Analysis, vol. 15, pp. 1-10, March 2015. (pdf) (link)
7. Y. Aliyari, Asymptotic stability of equilibrium points of mean shift algorithm, Machine Learning, vol. 98, no. 3, pp. 359-368, 2015. (pdf) (link)
6. Y. Aliyari, F. Rudzicz, H. Mogahddam, Fast incremental linear discriminant analyis, Pattern Recognition, vol. 48, no. 6, pp. 1999-2012, 2015. (link)
5. Y. Aliyari, F. Rudzicz, Noisy source vector quantization using kernel regression, IEEE Transactions on Communications, vol. 62, no. 11, pp. 3825-3834, Nov. 2014 (link)
4. Y. Aliyari, T. Linder, G. Takahara, On some convergence properties of the subspace constrained mean shift, Pattern Recognition, vol. 46, no. 11, pp. 3140-3147, 2013. (pdf) (link)
3. Y. Aliyari, H. Moghaddam, Adaptive linear discriminant analysis for online feature extraction, Machine Vision and Applications, vol. 24, no. 4, pp. 777-794, 2013. (pdf) (link)
2. Y. Aliyari, On the convergence of the mean shift algorithm in the one-dimensional space , Pattern Recognition Letters, vol. 34, no. 12, pp. 1423-1427, 2013. (pdf) (link)
1. Y. Aliyari, H. Moghaddam, Adaptive algorithms and networks for optimal feature extraction from Gaussian data, Pattern Recognition Letters, vol. 31, no. 11, pp. 1331-1341, 2010. (pdf) (link)
Under review journal papers
1. Y. Aliyari, F. Rudzicz, The mean shift algorithm and its relation to kernel regression.
2. Y. Aliyari, F. Rudzicz, Noisy source vector quantization using kernel regression.
3. Y. Aliyari, A recursive algorithm for finding inverse of Vandermonde matrix
4. Y. Aliyari, A note on eigenvalues of sum of two real symmetric matrices.
In prepreation
1. Y. Aliyari, T. Linder, G. Takahara, On applications of SCMS algorithm.
2. Y. Aliyari, F. Rudzicz, Modified mean shift algorithm.
Conference papers
10. E. Parisotto, Y. Aliyari, M. J. MacDonald, A. Cozma, E. W. Pang, F. Rudzicz, Automatic identification of received language in MEG, In Proceedings of Interspeech 2015. (pdf)
9. E. Parisotto, Y. Aliyari, S. Freydoonnejad, F. Rudzicz, EEG dimensionality reduction in automatic identification of synonymy, 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2015, Accepted.
8. Y. Aliyari, T. Linder, G. Takahara, On the convergence and applications of mean shift type algorithms, 25th Canadian Conference on Electrical and Computer Engineering (CCECE), Montreal, Canada, Apr. 2012. (pdf) (link)
7. Y. Aliyari, T. Linder, G. Takahara, On noisy source vector quantization via a subspace constrained mean shift algorithm, 26th Biennial Symposium on Communications, Kingston, Canada, May 2012. (pdf) (link)
6. Y. Aliyari, A. Ghavami, H. Moghaddam, A new incremental face recognition system, 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, Germany, Sep. 2008. (pdf) (link)
5. Y. Aliyari, H. Moghaddam, Self organized networks for optimal feature extraction, 7th IEEE Symposium on Computational Intelligent in Robotics and Automation (CIRA), USA, June 2007. (link)
4. Y. Aliyari, H. Moghaddam, M. Teshnehlab, Adaptive modified PCA for face recognition, 10th IAPR Conference on Machine Vision Applications (MVA), Japan, May 2007. (pdf) (link)
3. Y. Aliyari, H. Moghaddam, New adaptive algorithms and networks for on-line feature extraction from Gaussian data, 16th IEEE Conference on Control Applications (CCA), Singapore, Oct. 2007. (link)
2. Y. Aliyari, H. Abrishami, A face recognition system using neural networks with incremental learning ability, 7th IEEE Symposium on Computational Intelligent in Robotics and Automation (CIRA), USA, June 2007. (pdf) (link)
1. Y. Aliyari, N. Forghani, M. Forouzanfar, M. Teshnehlab, MRI fuzzy segmentation of brain tissue using IFCM algorithm with genetic algorithm optimization, ACS/IEEE International Conference on Computer Systems and Applications (AICCSA), Jordan, May 2007. (pdf) (link)