Atalay Barkana

According to our database, Atalay Barkana authored at least 25 papers between 1999 and 2025.

Collaborative distances:

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

2025

Indifference subspace of deep features for lung nodule classification from CT images.

Mohamad M. A. Ashames, Ahmet Demir, Mehmet Koç, Mehmet Fidan, Semih Ergin, Mehmet Bilginer Gülmezoglu, Atalay Barkana, Ömer Nezih Gerek

Expert Syst. Appl., 2025

2023

Neural network representations for the inter- and intra-class common vector classifiers.

Rifat Edizkan, Atalay Barkana, Mehmet Koç, Mehmet Bilginer Gülmezoglu, Mohamad M. A. Ashames, Semih Ergin, Mehmet Fidan, Ahmet Demir, Cuneyt Calisir, Ömer Nezih Gerek

Digit. Signal Process., October, 2023

Low-Dose CT Image Enhancement Using Deep Learning.

Ahmet Demir, M. M. A. Shames, Ömer Nezih Gerek, Semih Ergin, Mehmet Fidan, Mehmet Koç, Mehmet Bilginer Gülmezoglu, Atalay Barkana, Cuneyt Calisir

CoRR, 2023

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

Mohamad M. A. Ashames, Ahmet Demir, Ömer Nezih Gerek, Mehmet Fidan, Mehmet Bilginer Gülmezoglu, Semih Ergin, Mehmet Koç, Atalay Barkana, Cuneyt Calisir

CoRR, 2023

2020

Use of gradient and normal vectors for face recognition.

Mehmet Koç, Semih Ergin, Mehmet Bilginer Gülmezoglu, Rifat Edizkan, Atalay Barkana

IET Image Process., 2020

2015

On the realization of common matrix classifier using covariance tensors.

Semih Ergin, Ömer Nezih Gerek, Mehmet Bilginer Gülmezoglu, Atalay Barkana

Digit. Signal Process., 2015

2014

Application of Linear Regression Classification to low-dimensional datasets.

Mehmet Koç, Atalay Barkana

Neurocomputing, 2014

Discriminative common vector approach based feature selection in face recognition.

Mehmet Koç, Atalay Barkana

Comput. Electr. Eng., 2014

Modular common vector approach.

Mehmet Koç, Atalay Barkana

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.

Mehmet Koç, Atalay Barkana

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.

Mehmet Bilginer Gülmezoglu, Rifat Edizkan, Semih Ergin, Atalay Barkana

Expert Syst. Appl., 2011

A new solution to one sample problem in face recognition using FLDA.

Mehmet Koç, Atalay Barkana

Appl. Math. Comput., 2011

2010

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

Bayram Cetisli, Atalay Barkana

Soft Comput., 2010

A fast method for the implementation of common vector approach.

Mehmet Koç, Atalay Barkana, Ömer Nezih Gerek

Inf. Sci., 2010

Large margin classifiers based on affine hulls.

Hakan Cevikalp, Bill Triggs, Hasan Serhan Yavuz, Yalçin Küçük, Mahide Küçük, Atalay Barkana

Neurocomputing, 2010

2009

Two-dimensional subspace classifiers for face recognition.

Hakan Cevikalp, Hasan Serhan Yavuz, Mehmet Atif Cay, Atalay Barkana

Neurocomputing, 2009

2007

The Kernel Common Vector Method: A Novel Nonlinear Subspace Classifier for Pattern Recognition.

Hakan Cevikalp, Marian Neamtu, Atalay Barkana

IEEE Trans. Syst. Man Cybern. Part B, 2007

The common vector approach and its comparison with other subspace methods in case of sufficient data.

Mehmet Bilginer Gülmezoglu, Vakif Dzhafarov, Rifat Edizkan, Atalay Barkana

Comput. Speech Lang., 2007

2006

Two dimensional (2D) subspace classifiers for image recognition.

Hakan Cevikalp, Hasan Serhan Yavuz, Atalay Barkana

Proceedings of the 14th European Signal Processing Conference, 2006

2005

Discriminative Common Vectors for Face Recognition.

Hakan Cevikalp, Marian Neamtu, D. Mitch Wilkes, Atalay Barkana

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Face recognition using common matrix approach.

Ümit Çigdem Turhal, Mehmet Bilginer Gülmezoglu, Atalay Barkana

Proceedings of the 13th European Signal Processing Conference, 2005

Improvements on isolated word recognition using subspace methods.

Mehmet Bilginer Gülmezoglu, Rifat Edizkan, Semih Ergin, Atalay Barkana

Proceedings of the 13th European Signal Processing Conference, 2005

Improvements on common vector approach for multi class problems.

Rifat Edizkan, Mehmet Bilginer Gülmezoglu, Semih Ergin, Atalay Barkana

Proceedings of the 13th European Signal Processing Conference, 2005

2001

The common vector approach and its relation to principal component analysis.

Mehmet Bilginer Gülmezoglu, Vakif Dzhafarov, Atalay Barkana

IEEE Trans. Speech Audio Process., 2001

1999

A novel approach to isolated word recognition.

Mehmet Bilginer Gülmezoglu, Vakif Dzhafarov, Mustafa Keskin, Atalay Barkana

IEEE Trans. Speech Audio Process., 1999