Journal papers under review
Y. Y. Pilavcı, E. T. Güneyi, C. Cengiz and E. Vural, “Graph Domain Adaptation with Localized Graph Signal Representations”, Submitted for publication. (pdf)
Journal papers
S. Kaya and E. Vural, “Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm”, Accepted for publication in IEEE Transactions on Image Processing, 2021. (pdf)
M. Pilancı and E. Vural, “Domain Adaptation on Graphs by Learning Aligned Graph Bases”, IEEE Transactions on Knowledge and Data Engineering, 2020. (pdf)
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. (pdf)
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. (pdf)
C. Örnek and E. Vural, “Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings”, Pattern Recognition, vol. 87, pp. 55-66, 2019. (pdf)
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. (pdf)
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. (pdf)
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. (pdf)
J. C. Ferreira, E. Vural and C. Guillemot, “Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution”, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1354-1367, 2016. (pdf)
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. (pdf)
E. Vural and P. Frossard, “Analysis of Descent-Based Image Registration”, SIAM Journal on Imaging Sciences, vol. 6, no. 4, pp. 2310-2349, 2013. (pdf)
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. (pdf)
E. Vural and P. Frossard, “Learning Smooth Pattern Transformation Manifolds”, IEEE Transactions on Image Processing, vol. 22, no. 4, pp. 1311-1325, 2013. (pdf)
E. Vural and P. Frossard, “Discretization of Parametrizable Signal Manifolds”, IEEE Transactions on Image Processing, vol. 20, no. 12, pp. 3621-3633, 2011. (pdf)
Technical reports
J. Aghaei Mazaheri, E. Vural, C. Labit and C. Guillemot, “Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification”, 2018. (pdf)
A. Mousnier, E. Vural and C. Guillemot, “Partial Light Field Tomographic Reconstruction from a Fixed-Camera Focal Stack”, 2015. (pdf)
Conference papers
E. T. Güneyi, A. Canbolat and E. Vural, “Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations”, IEEE International Workshop on Machine Learning for Signal Processing, 2021. (pdf)
G. Turhan and E. Vural, “Estimating Partially Observed Graph Signals by Learning Spectrally Concentrated Graph Kernels”, IEEE International Workshop on Machine Learning for Signal Processing, 2021. (pdf)
S. Kaya and E. Vural, “Multi-Modal Learning with Generalizable Nonlinear Dimensionality Reduction”, IEEE International Conference on Image Processing, 2019. (pdf)
E. Vural, “Generalization Bounds for Domain Adaptation via Domain Transformations”, IEEE International Workshop on Machine Learning for Signal Processing, 2018. (pdf)
C. Örnek and E. Vural, “Generalizable Supervised Manifold Learning via Lipschitz Continuous Interpolators”, IEEE International Workshop on Machine Learning for Signal Processing, 2018. (pdf)
G. Gökdoğan and E. Vural, “Progressive Clustering of Manifold-Modeled Data Based on Tangent Space Variations”, IEEE International Workshop on Machine Learning for Signal Processing, 2017. (pdf)
E. Bayram, E. Vural and A. Alatan, “A Graph Signal Filtering-Based Approach for Detection of Different Edge Types on Airborne LiDAR Data”, SPIE Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing XIII, 2017. (pdf)
M. Pilancı and E. Vural, “Domain Adaptation via Transferring Spectral Properties of Label Functions on Graphs”, 12th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2016. (pdf)
E. Vural and P. Frossard, “A Performance Study of the Tangent Distance Method in Transformation-Invariant Image Classification”, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 5773-5777, 2015. (pdf)
A. C. Yüzügüler, E. Vural, and P. Frossard, “Transformation-Invariant Dictionary Learning for Classification with 1-Sparse Representations”, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3562-3566, 2014. (pdf)
E. Vural and P. Frossard, “Analysis of Hierarchical Image Alignment with Descent Methods”, 10th International Conference on Sampling Theory and Applications, pp. 392-395, 2013. (pdf)
H. Tyagi, E. Vural and P. Frossard, “Tangent Space Estimation Bounds for Smooth Manifolds”, 10th International Conference on Sampling Theory and Applications, pp. 452-455, 2013. (pdf)
E. Vural and P. Frossard, “Learning Pattern Transformation Manifolds for Classification”, IEEE International Conference on Image Processing, pp. 1165-1168, 2012. (pdf)
E. Vural and P. Frossard, “Learning Pattern Transformation Manifolds with Parametric Atom Selection”, 9th International Conference on Sampling Theory and Applications, 2011.
E. Vural and P. Frossard, “Approximation of Pattern Transformation Manifolds with Parametric Dictionaries”, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 977-980, 2011. (pdf)
S. Ö. Arik, E. Vural and P. Frossard, “Alignment of Uncalibrated Images for Multi-View Classification”, IEEE International Conference on Image Processing, pp. 2365-2368, 2011. (pdf)
E. Vural and P. Frossard, “Curvature Analysis of Pattern Transformation Manifolds”, IEEE International Conference on Image Processing, pp. 2689-2692, 2010. (pdf)
E. Vural and P. Frossard, “Distance-Based Discretization of Parametric Signal Manifolds”, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 3574-3577, 2010. (pdf)
E. Vural and A. A. Alatan, “Outlier Removal for Sparse 3-D Reconstruction from Video”, 3DTV-Con, pp. 341-344, 2008. (pdf)