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2017
Mezdour H, HANFER M, Menad A, Ameddah S. Rôle du stress oxydant dans l’apparition des lésions muqueuses gastriques. 2017.
Mezdour H, HANFER M, Menad A, Ameddah S. Rôle du stress oxydant dans l’apparition des lésions muqueuses gastriques. 2017.
Benatia D, Achachi A, Oudira H. Selection of handoff method for serving air traffic control communication in LEO satellite constellation. PressAcademia ProcediaPressAcademia Procedia. 2017;5 :379-387.
Benatia D, Achachi A, Oudira H. Selection of handoff method for serving air traffic control communication in LEO satellite constellation. PressAcademia ProcediaPressAcademia Procedia. 2017;5 :379-387.
Benatia D, Achachi A, Oudira H. Selection of handoff method for serving air traffic control communication in LEO satellite constellation. PressAcademia ProcediaPressAcademia Procedia. 2017;5 :379-387.
FAIZA K, Manaa R, Ameddah H, MAZOUZ H. Simulation de comportement thermomécanique d’une poutre sandwiche en matériaux composites. 2017.
FAIZA K, Manaa R, Ameddah H, MAZOUZ H. Simulation de comportement thermomécanique d’une poutre sandwiche en matériaux composites. 2017.
FAIZA K, Manaa R, Ameddah H, MAZOUZ H. Simulation de comportement thermomécanique d’une poutre sandwiche en matériaux composites. 2017.
FAIZA K, Manaa R, Ameddah H, MAZOUZ H. Simulation de comportement thermomécanique d’une poutre sandwiche en matériaux composites. 2017.
Baroudi T, Seghir R, Loechner V. Optimization of triangular and banded matrix operations using 2d-packed layouts. ACM Transactions on Architecture and Code Optimization (TACO). 2017;14 (4) :1-19.
Baroudi T, Seghir R, Loechner V. Optimization of triangular and banded matrix operations using 2d-packed layouts. ACM Transactions on Architecture and Code Optimization (TACO). 2017;14 (4) :1-19.
Baroudi T, Seghir R, Loechner V. Optimization of triangular and banded matrix operations using 2d-packed layouts. ACM Transactions on Architecture and Code Optimization (TACO). 2017;14 (4) :1-19.
2016
DEMAGH Y, KABAR Y, BORDJA I, NOUI S. The 3d heat flux density distribution on a novel parabolic trough wavy absorber.aip conf. proc. 2016.
DEMAGH Y, KABAR Y, BORDJA I, NOUI S. The 3d heat flux density distribution on a novel parabolic trough wavy absorber.aip conf. proc. 2016.
DEMAGH Y, KABAR Y, BORDJA I, NOUI S. The 3d heat flux density distribution on a novel parabolic trough wavy absorber.aip conf. proc. 2016.
DEMAGH Y, KABAR Y, BORDJA I, NOUI S. The 3d heat flux density distribution on a novel parabolic trough wavy absorber.aip conf. proc. 2016.
SEDRATI M. Adapting TCP protocol for wireless networks. International Conference on Computer Science’s Complex Systems and their Applications (ICCSA'2016). 2016.
Boussaad L, Benmohammed M, Benzid R. Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis. Journal of Information Processing SystemsJournal of Information Processing Systems. 2016;12 :392-409.Abstract
The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.
Boussaad L, Benmohammed M, Benzid R. Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis. Journal of Information Processing SystemsJournal of Information Processing Systems. 2016;12 :392-409.Abstract
The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.
Boussaad L, Benmohammed M, Benzid R. Age Invariant Face Recognition Based on DCT Feature Extraction and Kernel Fisher Analysis. Journal of Information Processing SystemsJournal of Information Processing Systems. 2016;12 :392-409.Abstract
The aim of this paper is to examine the effectiveness of combining three popular tools used in pattern recognition, which are the Active Appearance Model (AAM), the two-dimensional discrete cosine transform (2D-DCT), and Kernel Fisher Analysis (KFA), for face recognition across age variations. For this purpose, we first used AAM to generate an AAM-based face representation; then, we applied 2D-DCT to get the descriptor of the image; and finally, we used a multiclass KFA for dimension reduction. Classification was made through a K-nearest neighbor classifier, based on Euclidean distance. Our experimental results on face images, which were obtained from the publicly available FG-NET face database, showed that the proposed descriptor worked satisfactorily for both face identification and verification across age progression.

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