Doç. Dr.
Oda No
C-208
Tel No
+90 (312) 210-2370
E-posta
velif metu.edu.tr
Kişisel Web Sayfası
Eğitim
Post-doc: INRIA (Institut National de Recherche en Informatique et Automatique) Rennes, France, 2014-2015
Ph.D: EPFL (Ecole Polytechnique Federale de Lausanne), Switzerland, 2013
M.Sc: Middle East Technical University, Dept. of Electrical and Electronics Eng., 2008
B.Sc: Middle East Technical University, Dept. of Electrical and Electronics Eng., 2006
Araştırma Konuları
- The analysis of data with low-dimensional models
- Signal processing and machine learning
Yayınlar
- M. Pilancı and E. Vural, “Domain Adaptation on Graphs by Learning Aligned Graph Bases”, Accepted for publication in IEEE Transactions on Knowledge and Data Engineering.
- E. Bayram, D. Thanou, E. Vural and P. Frossard, “Mask Combination of Multi-Layer Graphs for Global Structure Inference”, IEEE Transactions on Signal and Information Processing over Networks, vol. 6, pp. 394-406, 2020.
- E. Vural, “Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm”, Turkish Journal of Electrical Engineering & Computer Sciences, vol. 27, pp. 1619-1635, 2019.
- C. Örnek and E. Vural, “Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings”, Pattern Recognition, vol. 87, pp. 55-66, 2018.
- E. Vural and C. Guillemot, “A study of the classification of low-dimensional data with supervised manifold learning”, Journal of Machine Learning Research, vol. 18, no. 157, pp. 1-55, 2018.
- E. Bayram, P. Frossard, E. Vural and A. Alatan, “Analysis of airborne LiDAR point clouds with spectral graph filtering”, IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 8, pp 1284-1288, 2018.
- E. Vural and C. Guillemot, “Out-of-Sample Generalizations for Supervised Manifold Learning for Classification”, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1410-1424, 2016.
- J. C. Ferreira, E. Vural and C. Guillemot, “Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction”, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1354-1367, 2016.
- E. Vural and P. Frossard, “Analysis of Image Registration with Tangent Distance”, SIAM Journal on Imaging Sciences, vol. 7, no. 4, pp. 2860-2915, 2014.
- E. Vural and P. Frossard, “Analysis of Descent-Based Image Registration”, SIAM Journal on Imaging Sciences, vol. 6, no. 4, pp. 2310-2349, 2013.
- H. Tyagi, E. Vural and P. Frossard, “Tangent Space Estimation for Smooth Embeddings of Riemannian Manifolds”, Information and Inference, vol. 2, no. 1, pp. 69-114, 2013.
- E. Vural and P. Frossard, “Learning Smooth Pattern Transformation Manifolds”, IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1311-1325, 2013.
- E. Vural and P. Frossard, “Discretization of Parametrizable Signal Manifolds”, IEEE Transactions on Image Processing, vol. 20, no. 12, pp. 3621-3633, 2011.