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Journal Articles
- 2024
[j15]Yusuf Yigit Pilavci
, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural:
Graph domain adaptation with localized graph signal representations. Pattern Recognit. 155: 110628 (2024)- [j14]Abdullah Canbolat, Elif Vural:
Locally Stationary Graph Processes. IEEE Trans. Signal Process. 72: 2323-2332 (2024) - 2022
- [j13]Mehmet Pilanci, Elif Vural:
Domain Adaptation on Graphs by Learning Aligned Graph Bases. IEEE Trans. Knowl. Data Eng. 34(2): 587-600 (2022) - 2021
- [j12]Semih Kaya, Elif Vural:
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm. IEEE Trans. Image Process. 30: 4384-4394 (2021) - 2020
- [j11]Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-Layer Graphs for Global Structure Inference. IEEE Trans. Signal Inf. Process. over Networks 6: 394-406 (2020) - 2019
- [j10]Elif Vural:
Domain adaptation on graphs by learning graph topologies: theoretical analysisand an algorithm. Turkish J. Electr. Eng. Comput. Sci. 27(3): 1619-1635 (2019) - [j9]Cem Ornek, Elif Vural:
Nonlinear supervised dimensionality reduction via smooth regular embeddings. Pattern Recognit. 87: 55-66 (2019) - 2018
- [j8]Eda Bayram, Pascal Frossard, Elif Vural, A. Aydin Alatan:
Analysis of Airborne LiDAR Point Clouds With Spectral Graph Filtering. IEEE Geosci. Remote. Sens. Lett. 15(8): 1284-1288 (2018) - 2017
- [j7]Elif Vural, Christine Guillemot:
A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning. J. Mach. Learn. Res. 18: 157:1-157:55 (2017) - 2016
- [j6]Júlio César Ferreira, Elif Vural, Christine Guillemot:
Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution. IEEE Trans. Image Process. 25(3): 1354-1367 (2016) - [j5]Elif Vural, Christine Guillemot:
Out-of-Sample Generalizations for Supervised Manifold Learning for Classification. IEEE Trans. Image Process. 25(3): 1410-1424 (2016) - 2014
- [j4]Elif Vural, Pascal Frossard:
Analysis of Image Registration with Tangent Distance. SIAM J. Imaging Sci. 7(4): 2860-2915 (2014) - 2013
- [j3]Elif Vural, Pascal Frossard:
Analysis of Descent-Based Image Registration. SIAM J. Imaging Sci. 6(4): 2310-2349 (2013) - [j2]Elif Vural, Pascal Frossard:
Learning Smooth Pattern Transformation Manifolds. IEEE Trans. Image Process. 22(4): 1311-1325 (2013) - 2011
- [j1]Elif Vural, Pascal Frossard:
Discretization of Parametrizable Signal Manifolds. IEEE Trans. Image Process. 20(12): 3621-3633 (2011)
Conference and Workshop Papers
- 2023
- [c23]Hüseyin Karaca, Özlem Akgül, Ömer Faruk Arslan, Atilla Can Aydemir, Firdevs Su Aydin, Enes Ata Ünsal, Elif Vural:
An Experimental Study of the Sample Complexity of Domain Adaptation. SIU 2023: 1-4 - 2022
- [c22]Abdullah Burak Acar, Elif Vural:
Learning Time-Vertex Dictionaries for Estimating Time-Varying Graph Signals. MLSP 2022: 1-6 - [c21]Abdullah Canbolat, Elif Vural:
Estimation of Locally Stationary Graph Processes from Incomplete Realizations. MLSP 2022: 1-6 - [c20]Osman Furkan Kar, Gülce Turhan, Elif Vural:
Learning Graph Signal Representations with Narrowband Spectral Kernels. MLSP 2022: 1-6 - [c19]Abdullah Burak Acar, Elif Vural:
Estimation of Time-Varying Graph Signals by Learning Graph Dictionaries. SIU 2022: 1-4 - [c18]Osman Furkan Kar, Gülce Turhan, Elif Vural:
Learning Narrowband Graph Spectral Kernels for Graph Signal Estimation. SIU 2022: 1-4 - 2021
- [c17]Eylem Tugçe Güneyi, Abdullah Canbolat, Elif Vural:
Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations. MLSP 2021: 1-6 - [c16]Gülce Turhan, Elif Vural:
Estimating Partially Observed Graph Signals by Learning Spectrally Concentrated Graph Kernels. MLSP 2021: 1-6 - 2019
- [c15]Semih Kaya, Elif Vural:
Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction. ICIP 2019: 2139-2143 - [c14]Semih Kaya, Elif Vural:
Cross-modal Representation Learning with Nonlinear Dimensionality Reduction. SIU 2019: 1-4 - [c13]Mehmet Pilanci, Elif Vural:
Domain Adaptation on Graphs via Frequency Analysis. SIU 2019: 1-4 - [c12]Elif Vural:
Domain Adaptation with Nonparametric Projections. SIU 2019: 1-4 - 2018
- [c11]Cem Ornek, Elif Vural:
Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators. MLSP 2018: 1-6 - [c10]Elif Vural:
Generalization Bounds for Domain Adaptation via Domain Transformations. MLSP 2018: 1-6 - 2017
- [c9]Gokhan Gokdogan, Elif Vural:
Progressive clustering of manifold-modeled data based on tangent space variations. MLSP 2017: 1-6 - 2016
- [c8]Mehmet Pilanci, Elif Vural:
Domain adaptation via transferring spectral properties of label functions on graphs. IVMSP 2016: 1-5 - 2015
- [c7]Elif Vural, Pascal Frossard:
A performance study of the tangent distance method in transformation-invariant image classification. ICASSP 2015: 5773-5777 - 2014
- [c6]Ahmet Caner Yuzuguler, Elif Vural, Pascal Frossard:
Transformation-invariant dictionary learning for classification with 1-Sparse representations. ICASSP 2014: 3562-3566 - 2012
- [c5]Elif Vural, Pascal Frossard:
Learning pattern transformation manifolds for classification. ICIP 2012: 1165-1168 - 2011
- [c4]Elif Vural, Pascal Frossard:
Approximation of pattern transformation manifolds with parametric dictionaries. ICASSP 2011: 977-980 - [c3]Sercan Ömer Arik, Elif Vural, Pascal Frossard:
Alignment of uncalibrated images for multi-view classification. ICIP 2011: 2365-2368 - 2010
- [c2]Elif Vural, Pascal Frossard:
Distance-based discretization of parametric signal manifolds. ICASSP 2010: 3574-3577 - [c1]Elif Vural, Pascal Frossard:
Curvature analysis of pattern transformation manifolds. ICIP 2010: 2689-2692
Informal and Other Publications
- 2024
- [i18]Melih Can Zerin, Elif Vural, Ali Özgür Yilmaz:
Downlink CCM Estimation via Representation Learning with Graph Regularization. CoRR abs/2407.18865 (2024) - 2023
- [i17]Eylem Tugçe Güneyi, Berkay Yaldiz, Abdullah Canbolat, Elif Vural:
Learning Graph ARMA Processes from Time-Vertex Spectra. CoRR abs/2302.06887 (2023) - [i16]Abdullah Canbolat, Elif Vural:
Locally Stationary Graph Processes. CoRR abs/2309.01657 (2023) - 2020
- [i15]Semih Kaya, Elif Vural:
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm. CoRR abs/2006.02330 (2020) - 2019
- [i14]Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard:
Mask Combination of Multi-layer Graphs for Global Structure Inference. CoRR abs/1910.10114 (2019) - [i13]Yusuf Yigit Pilavci, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural:
Graph Domain Adaptation with Localized Graph Signal Representations. CoRR abs/1911.02883 (2019) - 2018
- [i12]Jeremy Aghaei Mazaheri, Elif Vural, Claude Labit, Christine Guillemot:
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification. CoRR abs/1802.10497 (2018) - [i11]Mehmet Pilanci, Elif Vural:
Domain Adaptation on Graphs by Learning Aligned Graph Bases. CoRR abs/1803.05288 (2018) - [i10]Elif Vural:
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm. CoRR abs/1812.06944 (2018) - 2017
- [i9]Cem Ornek, Elif Vural:
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings. CoRR abs/1710.07120 (2017) - 2015
- [i8]Elif Vural, Christine Guillemot:
Out-of-sample generalizations for supervised manifold learning for classification. CoRR abs/1502.02410 (2015) - [i7]Antoine Mousnier, Elif Vural, Christine Guillemot:
Partial light field tomographic reconstruction from a fixed-camera focal stack. CoRR abs/1503.01903 (2015) - [i6]Júlio César Ferreira, Elif Vural, Christine Guillemot:
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction. CoRR abs/1505.01429 (2015) - [i5]Elif Vural, Christine Guillemot:
A study of the classification of low-dimensional data with supervised manifold learning. CoRR abs/1507.05880 (2015) - 2014
- [i4]Elif Vural, Pascal Frossard:
Analysis of Image Registration with Tangent Distance. CoRR abs/1401.2529 (2014) - 2013
- [i3]Elif Vural, Pascal Frossard:
Analysis of Descent-Based Image Registration. CoRR abs/1302.3785 (2013) - 2011
- [i2]Elif Vural, Pascal Frossard:
Discretization of Parametrizable Signal Manifolds. CoRR abs/1112.5638 (2011) - [i1]Elif Vural, Pascal Frossard:
Learning Smooth Pattern Transformation Manifolds. CoRR abs/1112.5640 (2011)
Coauthor Index
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