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ORCIDYouness Aliyari Ghassabeh
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2020 – today
- 2021
[j13]Youness Aliyari Ghassabeh, Frank Rudzicz:
Modified Subspace Constrained Mean Shift Algorithm. J. Classif. 38(1): 27-43 (2021)
2010 – 2019
- 2018
- [j12]Youness Aliyari Ghassabeh, Frank Rudzicz:
Modified mean shift algorithm. IET Image Process. 12(12): 2172-2177 (2018) - 2016
- [j11]Youness Aliyari Ghassabeh, Frank Rudzicz
:
The mean shift algorithm and its relation to kernel regression. Inf. Sci. 348: 198-208 (2016) - [j10]Youness Aliyari Ghassabeh, Frank Rudzicz, Hamid Abrishami Moghaddam:
Fast adaptive algorithms for optimal feature extraction from Gaussian data. Pattern Recognit. Lett. 70: 73-79 (2016) - 2015
- [j9]Youness Aliyari Ghassabeh, Frank Rudzicz:
Incremental algorithm for finding principal curves. IET Signal Process. 9(7): 521-528 (2015) - [j8]Youness Aliyari Ghassabeh:
A sufficient condition for the convergence of the mean shift algorithm with Gaussian kernel. J. Multivar. Anal. 135: 1-10 (2015) - [j7]Youness Aliyari Ghassabeh:
Asymptotic stability of equilibrium points of mean shift algorithm. Mach. Learn. 98(3): 359-368 (2015) - [j6]Youness Aliyari Ghassabeh, Frank Rudzicz, Hamid Abrishami Moghaddam:
Fast incremental LDA feature extraction. Pattern Recognit. 48(6): 1999-2012 (2015) - [c10]Emilio Parisotto, Youness Aliyari Ghassabeh, Siamak Freydoonnejad, Frank Rudzicz:
EEG dimensionality reduction in automatic identification of synonymy. ICASSP 2015: 847-851 - [c9]Emilio Parisotto, Youness Aliyari Ghassabeh, Matt J. MacDonald, Adelina Cozma, Elizabeth W. Pang, Frank Rudzicz:
Automatic identification of received language in MEG. INTERSPEECH 2015: 1106-1110 - 2014
- [j5]Youness Aliyari Ghassabeh, Frank Rudzicz:
Noisy Source Vector Quantization Using Kernel Regression. IEEE Trans. Commun. 62(11): 3825-3834 (2014) - [i1]Youness Aliyari Ghassabeh:
On the Convergence of the Mean Shift Algorithm in the One-Dimensional Space. CoRR abs/1407.2961 (2014) - 2013
- [j4]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
Adaptive linear discriminant analysis for online feature extraction. Mach. Vis. Appl. 24(4): 777-794 (2013) - [j3]Youness Aliyari Ghassabeh, Tamás Linder, Glen Takahara:
On some convergence properties of the subspace constrained mean shift. Pattern Recognit. 46(11): 3140-3147 (2013) - [j2]Youness Aliyari Ghassabeh:
On the convergence of the mean shift algorithm in the one-dimensional space. Pattern Recognit. Lett. 34(12): 1423-1427 (2013) - 2012
- [c8]Youness Aliyari Ghassabeh, Tamás Linder, Glen Takahara:
On the convergence and applications of mean shift type algorithms. CCECE 2012: 1-5 - 2010
- [j1]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
Adaptive algorithms and networks for optimal feature extraction from Gaussian data. Pattern Recognit. Lett. 31(11): 1331-1341 (2010)
2000 – 2009
- 2007
- [c7]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
Incremental Feature Extraction from Gaussian Data using Neural Networks. CCA 2007: 491-496 - [c6]Youness Aliyari Ghassabeh, Nosratallah Forghani, Mohamad Forouzanfar, Mohammad Teshnehlab:
MRI Fuzzy Segmentation of Brain Tissue Using IFCM Algorithm with Genetic Algorithm Optimization. AICCSA 2007: 665-668 - [c5]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
Self Organized Networks for Optimal Feature Extraction. CIRA 2007: 279-284 - [c4]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
A Face Recognition System using Neural Networks with Incremental Learning Ability. CIRA 2007: 291-296 - [c3]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
A New Incremental Optimal Feature Extraction Method for On-Line Applications. ICIAR 2007: 399-410 - [c2]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam, Mohammad Teshnehlab:
Adaptive Modified PCA for Face Recognition. MVA 2007: 126-129 - [c1]Youness Aliyari Ghassabeh, Hamid Abrishami Moghaddam:
New adaptive algorithms for extracting optimal features from gaussian data. VISAPP (Special Sessions) 2007: 182-187
Coauthor Index
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