Atalay Barkana

According to our database1, Atalay Barkana authored at least 24 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Neural network representations for the inter- and intra-class common vector classifiers.
Digit. Signal Process., October, 2023

Low-Dose CT Image Enhancement Using Deep Learning.
CoRR, 2023

Are Deep Learning Classification Results Obtained on CT Scans Fair and Interpretable?
CoRR, 2023

2020
Use of gradient and normal vectors for face recognition.
IET Image Process., 2020

2015
On the realization of common matrix classifier using covariance tensors.
Digit. Signal Process., 2015

2014
Application of Linear Regression Classification to low-dimensional datasets.
Neurocomputing, 2014

Discriminative common vector approach based feature selection in face recognition.
Comput. Electr. Eng., 2014

Modular common vector approach.
Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

2012
Application of the Discriminative Common Vector Approach to one sample problem.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011
Use of center of gravity with the common vector approach in isolated word recognition.
Expert Syst. Appl., 2011

A new solution to one sample problem in face recognition using FLDA.
Appl. Math. Comput., 2011

2010
Speeding up the scaled conjugate gradient algorithm and its application in neuro-fuzzy classifier training.
Soft Comput., 2010

A fast method for the implementation of common vector approach.
Inf. Sci., 2010

Large margin classifiers based on affine hulls.
Neurocomputing, 2010

2009
Two-dimensional subspace classifiers for face recognition.
Neurocomputing, 2009

2007
The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition.
IEEE Trans. Syst. Man Cybern. Part B, 2007

The common vector approach and its comparison with other subspace methods in case of sufficient data.
Comput. Speech Lang., 2007

2006
Two dimensional (2D) subspace classifiers for image recognition.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Discriminative Common Vectors for Face Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Face recognition using common matrix approach.
Proceedings of the 13th European Signal Processing Conference, 2005

Improvements on isolated word recognition using subspace methods.
Proceedings of the 13th European Signal Processing Conference, 2005

Improvements on common vector approach for multi class problems.
Proceedings of the 13th European Signal Processing Conference, 2005

2001
The common vector approach and its relation to principal component analysis.
IEEE Trans. Speech Audio Process., 2001

1999
A novel approach to isolated word recognition.
IEEE Trans. Speech Audio Process., 1999


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