Elif Vural

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 37

Top Topics

Manifold Learning

Domain Adaptation

Dimensionality Reduction

Top Venues

IEEE Trans. Image Process.

Publications

Melih Can Zerin, Elif Vural, Ali Özgür Yilmaz
Downlink CCM Estimation via Representation Learning with Graph Regularization. CoRR (2024)
Yusuf Yigit Pilavci, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural
Graph domain adaptation with localized graph signal representations. Pattern Recognit. 155 (2024)
Abdullah Canbolat, Elif Vural
Locally Stationary Graph Processes. IEEE Trans. Signal Process. 72 (2024)
Abdullah Canbolat, Elif Vural
Locally Stationary Graph Processes. CoRR (2023)
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)
Eylem Tugçe Güneyi, Berkay Yaldiz, Abdullah Canbolat, Elif Vural
Learning Graph ARMA Processes from Time-Vertex Spectra. CoRR (2023)
Osman Furkan Kar, Gülce Turhan, Elif Vural
Learning Narrowband Graph Spectral Kernels for Graph Signal Estimation. SIU (2022)
Mehmet Pilanci, Elif Vural
Domain Adaptation on Graphs by Learning Aligned Graph Bases. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Abdullah Burak Acar, Elif Vural
Estimation of Time-Varying Graph Signals by Learning Graph Dictionaries. SIU (2022)
Abdullah Canbolat, Elif Vural
Estimation of Locally Stationary Graph Processes from Incomplete Realizations. MLSP (2022)
Osman Furkan Kar, Gülce Turhan, Elif Vural
Learning Graph Signal Representations with Narrowband Spectral Kernels. MLSP (2022)
Abdullah Burak Acar, Elif Vural
Learning Time-Vertex Dictionaries for Estimating Time-Varying Graph Signals. MLSP (2022)
Gülce Turhan, Elif Vural
Estimating Partially Observed Graph Signals by Learning Spectrally Concentrated Graph Kernels. MLSP (2021)
Semih Kaya, Elif Vural
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm. IEEE Trans. Image Process. 30 (2021)
Eylem Tugçe Güneyi, Abdullah Canbolat, Elif Vural
Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations. MLSP (2021)
Semih Kaya, Elif Vural
Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm. CoRR (2020)
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 (2020)
Elif Vural
Domain adaptation on graphs by learning graph topologies: theoretical analysisand an algorithm. Turkish J. Electr. Eng. Comput. Sci. 27 (3) (2019)
Cem Ornek, Elif Vural
Nonlinear supervised dimensionality reduction via smooth regular embeddings. Pattern Recognit. 87 (2019)
Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard
Mask Combination of Multi-layer Graphs for Global Structure Inference. CoRR (2019)
Yusuf Yigit Pilavci, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural
Graph Domain Adaptation with Localized Graph Signal Representations. CoRR (2019)
Mehmet Pilanci, Elif Vural
Domain Adaptation on Graphs via Frequency Analysis. SIU (2019)
Semih Kaya, Elif Vural
Cross-modal Representation Learning with Nonlinear Dimensionality Reduction. SIU (2019)
Elif Vural
Domain Adaptation with Nonparametric Projections. SIU (2019)
Semih Kaya, Elif Vural
Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction. ICIP (2019)
Elif Vural
Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm. CoRR (2018)
Jeremy Aghaei Mazaheri, Elif Vural, Claude Labit, Christine Guillemot
Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification. CoRR (2018)
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) (2018)
Elif Vural
Generalization Bounds for Domain Adaptation via Domain Transformations. MLSP (2018)
Mehmet Pilanci, Elif Vural
Domain Adaptation on Graphs by Learning Aligned Graph Bases. CoRR (2018)
Cem Ornek, Elif Vural
Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators. MLSP (2018)
Gokhan Gokdogan, Elif Vural
Progressive clustering of manifold-modeled data based on tangent space variations. MLSP (2017)
Elif Vural, Christine Guillemot
A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning. J. Mach. Learn. Res. 18 (2017)
Cem Ornek, Elif Vural
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings. CoRR (2017)
Elif Vural, Christine Guillemot
Out-of-Sample Generalizations for Supervised Manifold Learning for Classification. IEEE Trans. Image Process. 25 (3) (2016)
Mehmet Pilanci, Elif Vural
Domain adaptation via transferring spectral properties of label functions on graphs. IVMSP (2016)
Júlio César Ferreira, Elif Vural, Christine Guillemot
Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution. IEEE Trans. Image Process. 25 (3) (2016)
Elif Vural, Christine Guillemot
A study of the classification of low-dimensional data with supervised manifold learning. CoRR (2015)
Júlio César Ferreira, Elif Vural, Christine Guillemot
Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction. CoRR (2015)
Elif Vural, Christine Guillemot
Out-of-sample generalizations for supervised manifold learning for classification. CoRR (2015)
Elif Vural, Pascal Frossard
A performance study of the tangent distance method in transformation-invariant image classification. ICASSP (2015)
Antoine Mousnier, Elif Vural, Christine Guillemot
Partial light field tomographic reconstruction from a fixed-camera focal stack. CoRR (2015)
Ahmet Caner Yuzuguler, Elif Vural, Pascal Frossard
Transformation-invariant dictionary learning for classification with 1-Sparse representations. ICASSP (2014)
Elif Vural, Pascal Frossard
Analysis of Image Registration with Tangent Distance. SIAM J. Imaging Sci. 7 (4) (2014)
Elif Vural, Pascal Frossard
Analysis of Image Registration with Tangent Distance. CoRR (2014)
Elif Vural, Pascal Frossard
Analysis of Descent-Based Image Registration CoRR (2013)
Elif Vural, Pascal Frossard
Learning Smooth Pattern Transformation Manifolds. IEEE Trans. Image Process. 22 (4) (2013)
Elif Vural, Pascal Frossard
Analysis of Descent-Based Image Registration. SIAM J. Imaging Sci. 6 (4) (2013)
Elif Vural, Pascal Frossard
Learning pattern transformation manifolds for classification. ICIP (2012)
Elif Vural, Pascal Frossard
Discretization of Parametrizable Signal Manifolds CoRR (2011)
Elif Vural, Pascal Frossard
Learning Smooth Pattern Transformation Manifolds CoRR (2011)
Sercan Ömer Arik, Elif Vural, Pascal Frossard
Alignment of uncalibrated images for multi-view classification. ICIP (2011)
Elif Vural, Pascal Frossard
Approximation of pattern transformation manifolds with parametric dictionaries. ICASSP (2011)
Elif Vural, Pascal Frossard
Discretization of Parametrizable Signal Manifolds. IEEE Trans. Image Process. 20 (12) (2011)
Elif Vural, Pascal Frossard
Distance-based discretization of parametric signal manifolds. ICASSP (2010)
Elif Vural, Pascal Frossard
Curvature analysis of pattern transformation manifolds. ICIP (2010)