Elif Vural

According to our database, Elif Vural authored at least 43 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Locally Stationary Graph Processes.

Abdullah Canbolat, Elif Vural

CoRR, 2023

Learning Graph ARMA Processes from Time-Vertex Spectra.

Eylem Tugçe Güneyi, Berkay Yaldiz, Abdullah Canbolat, Elif Vural

CoRR, 2023

An Experimental Study of the Sample Complexity of Domain Adaptation.

Hüseyin Karaca, Özlem Akgül, Ömer Faruk Arslan, Atilla Can Aydemir, Firdevs Su Aydin, Enes Ata Ünsal, Elif Vural

Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

2022

Domain Adaptation on Graphs by Learning Aligned Graph Bases.

Mehmet Pilanci, Elif Vural

IEEE Trans. Knowl. Data Eng., 2022

Learning Narrowband Graph Spectral Kernels for Graph Signal Estimation.

Osman Furkan Kar, Gülce Turhan, Elif Vural

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Estimation of Time-Varying Graph Signals by Learning Graph Dictionaries.

Abdullah Burak Acar, Elif Vural

Proceedings of the 30th Signal Processing and Communications Applications Conference, 2022

Learning Graph Signal Representations with Narrowband Spectral Kernels.

Osman Furkan Kar, Gülce Turhan, Elif Vural

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Estimation of Locally Stationary Graph Processes from Incomplete Realizations.

Abdullah Canbolat, Elif Vural

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

Learning Time-Vertex Dictionaries for Estimating Time-Varying Graph Signals.

Abdullah Burak Acar, Elif Vural

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022

2021

Learning Multi-Modal Nonlinear Embeddings: Performance Bounds and an Algorithm.

Semih Kaya, Elif Vural

IEEE Trans. Image Process., 2021

Estimating Partially Observed Graph Signals by Learning Spectrally Concentrated Graph Kernels.

Gülce Turhan, Elif Vural

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Learning Parametric Time-Vertex Graph Processes from Incomplete Realizations.

Eylem Tugçe Güneyi, Abdullah Canbolat, Elif Vural

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Mask Combination of Multi-Layer Graphs for Global Structure Inference.

Eda Bayram, Dorina Thanou, Elif Vural, Pascal Frossard

IEEE Trans. Signal Inf. Process. over Networks, 2020

2019

Nonlinear supervised dimensionality reduction via smooth regular embeddings.

Cem Ornek, Elif Vural

Pattern Recognit., 2019

Domain adaptation on graphs by learning graph topologies: theoretical analysisand an algorithm.

Elif Vural

Turkish J. Electr. Eng. Comput. Sci., 2019

Graph Domain Adaptation with Localized Graph Signal Representations.

Yusuf Yigit Pilavci, Eylem Tugçe Güneyi, Cemil Cengiz, Elif Vural

CoRR, 2019

Domain Adaptation with Nonparametric Projections.

Elif Vural

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Domain Adaptation on Graphs via Frequency Analysis.

Mehmet Pilanci, Elif Vural

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Cross-modal Representation Learning with Nonlinear Dimensionality Reduction.

Semih Kaya, Elif Vural

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

Multi-Modal Learning With Generalizable Nonlinear Dimensionality Reduction.

Semih Kaya, Elif Vural

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Analysis of Airborne LiDAR Point Clouds With Spectral Graph Filtering.

Eda Bayram, Pascal Frossard, Elif Vural, A. Aydin Alatan

IEEE Geosci. Remote. Sens. Lett., 2018

Domain Adaptation on Graphs by Learning Graph Topologies: Theoretical Analysis and an Algorithm.

Elif Vural

CoRR, 2018

Learning Discriminative Multilevel Structured Dictionaries for Supervised Image Classification.

Jeremy Aghaei Mazaheri, Elif Vural, Claude Labit, Christine Guillemot

CoRR, 2018

Generalization Bounds for Domain Adaptation via Domain Transformations.

Elif Vural

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Generalizable Supervised Manifold Learning via Lipschitz continuous interpolators.

Cem Ornek, Elif Vural

Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017

A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning.

Elif Vural, Christine Guillemot

J. Mach. Learn. Res., 2017

Progressive clustering of manifold-modeled data based on tangent space variations.

Gokhan Gokdogan, Elif Vural

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Out-of-Sample Generalizations for Supervised Manifold Learning for Classification.

Elif Vural, Christine Guillemot

IEEE Trans. Image Process., 2016

Geometry-Aware Neighborhood Search for Learning Local Models for Image Superresolution.

Júlio César Ferreira, Elif Vural, Christine Guillemot

IEEE Trans. Image Process., 2016

Domain adaptation via transferring spectral properties of label functions on graphs.

Mehmet Pilanci, Elif Vural

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

2015

Partial light field tomographic reconstruction from a fixed-camera focal stack.

Antoine Mousnier, Elif Vural, Christine Guillemot

CoRR, 2015

Geometry-Aware Neighborhood Search for Learning Local Models for Image Reconstruction.

Júlio César Ferreira, Elif Vural, Christine Guillemot

CoRR, 2015

A performance study of the tangent distance method in transformation-invariant image classification.

Elif Vural, Pascal Frossard

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Analysis of Image Registration with Tangent Distance.

Elif Vural, Pascal Frossard

SIAM J. Imaging Sci., 2014

Transformation-invariant dictionary learning for classification with 1-Sparse representations.

Ahmet Caner Yuzuguler, Elif Vural, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Learning Smooth Pattern Transformation Manifolds.

Elif Vural, Pascal Frossard

IEEE Trans. Image Process., 2013

Analysis of Descent-Based Image Registration.

Elif Vural, Pascal Frossard

SIAM J. Imaging Sci., 2013

2012

Learning pattern transformation manifolds for classification.

Elif Vural, Pascal Frossard

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

Discretization of Parametrizable Signal Manifolds.

Elif Vural, Pascal Frossard

IEEE Trans. Image Process., 2011

Alignment of uncalibrated images for multi-view classification.

Sercan Ömer Arik, Elif Vural, Pascal Frossard

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Approximation of pattern transformation manifolds with parametric dictionaries.

Elif Vural, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Curvature analysis of pattern transformation manifolds.

Elif Vural, Pascal Frossard

Proceedings of the International Conference on Image Processing, 2010

Distance-based discretization of parametric signal manifolds.

Elif Vural, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2010