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Elif Vural
Elif Vural
在 metu.edu.tr 的电子邮件经过验证 - 首页
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引用次数
引用次数
年份
Partial light field tomographic reconstruction from a fixed-camera focal stack
A Mousnier, E Vural, C Guillemot
arXiv preprint arXiv:1503.01903, 2015
912015
Tangent space estimation for smooth embeddings of Riemannian manifolds ®
H Tyagi, E Vural, P Frossard
Information and Inference: A Journal of the IMA 2 (1), 69-114, 2013
672013
Domain adaptation on graphs by learning aligned graph bases
M Pilancı, E Vural
IEEE Transactions on Knowledge and Data Engineering 34 (2), 587-600, 2020
552020
Out-of-sample generalizations for supervised manifold learning for classification
E Vural, C Guillemot
IEEE Transactions on Image Processing 25 (3), 1410-1424, 2016
422016
A study of the classification of low-dimensional data with supervised manifold learning
E Vural, C Guillemot
Journal of Machine Learning Research 18 (157), 1-55, 2018
312018
Nonlinear supervised dimensionality reduction via smooth regular embeddings
C Örnek, E Vural
Pattern Recognition 87, 55-66, 2019
222019
Analysis of airborne LiDAR point clouds with spectral graph filtering
E Bayram, P Frossard, E Vural, A Alatan
IEEE geoscience and remote sensing letters 15 (8), 1284-1288, 2018
172018
Learning smooth pattern transformation manifolds
E Vural, P Frossard
IEEE transactions on image processing 22 (4), 1311-1325, 2012
152012
Analysis of descent-based image registration
E Vural, P Frossard
SIAM Journal on Imaging Sciences 6 (4), 2310-2349, 2013
122013
Geometry-aware neighborhood search for learning local models for image superresolution
JC Ferreira, E Vural, C Guillemot
IEEE Transactions on Image Processing 25 (3), 1354-1367, 2016
112016
Partial light field tomographic reconstruction from a fixed-camera focal stack. arXiv 2015
A Mousnier, E Vural, C Guillemot
arXiv preprint arXiv:1503.01903, 0
11
Mask combination of multi-layer graphs for global structure inference
E Bayram, D Thanou, E Vural, P Frossard
IEEE Transactions on Signal and Information Processing over Networks 6, 394-406, 2020
82020
Generalization bounds for domain adaptation via domain transformations
E Vural
72018
Outlier removal for sparse 3d reconstruction from video
E Vural, AA Alatan
2008 3DTV Conference: The True Vision-Capture, Transmission and Display of …, 2008
72008
Estimating partially observed graph signals by learning spectrally concentrated graph kernels
G Turhan, E Vural
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
62021
Domain adaptation via transferring spectral properties of label functions on graphs
M Pilancı, E Vural
2016 IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop …, 2016
52016
Analysis of image registration with tangent distance
E Vural, P Frossard
SIAM journal on imaging sciences 7 (4), 2860-2915, 2014
52014
Learning parametric time-vertex graph processes from incomplete realizations
ET Güneyi, A Canbolat, E Vural
2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021
42021
Multi-modal learning with generalizable nonlinear dimensionality reduction
S Kaya, E Vural
2019 IEEE International Conference on Image Processing (ICIP), 2139-2143, 2019
42019
Discretization of parametrizable signal manifolds
E Vural, P Frossard
IEEE Transactions on Image Processing 20 (12), 3621-3633, 2011
42011
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