Search Results for author: Jelena Kovačević

Found 11 papers, 4 papers with code

From Nano to Macro: Overview of the IEEE Bio Image and Signal Processing Technical Committee

no code implementations31 Oct 2022 Selin Aviyente, Alejandro Frangi, Erik Meijering, Arrate Muñoz-Barrutia, Michael Liebling, Dimitri Van De Ville, Jean-Christophe Olivo-Marin, Jelena Kovačević, Michael Unser

The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities within the broad technical field of biomedical image and signal processing.

Vector-Valued Graph Trend Filtering with Non-Convex Penalties

1 code implementation29 May 2019 Rohan Varma, Harlin Lee, Jelena Kovačević, Yuejie Chi

This work studies the denoising of piecewise smooth graph signals that exhibit inhomogeneous levels of smoothness over a graph, where the value at each node can be vector-valued.

Denoising Event Detection +1

Sampling Theory for Graph Signals on Product Graphs

1 code implementation26 Sep 2018 Rohan Varma, Jelena Kovačević

In this paper, we extend the sampling theory on graphs by constructing a framework that exploits the structure in product graphs for efficient sampling and recovery of bandlimited graph signals that lie on them.

Graph Signal Processing: Overview, Challenges and Applications

2 code implementations1 Dec 2017 Antonio Ortega, Pascal Frossard, Jelena Kovačević, José M. F. Moura, Pierre Vandergheynst

Research in Graph Signal Processing (GSP) aims to develop tools for processing data defined on irregular graph domains.

Signal Processing

Generalized Value Iteration Networks: Life Beyond Lattices

1 code implementation8 Jun 2017 Sufeng. Niu, Siheng Chen, Hanyu Guo, Colin Targonski, Melissa C. Smith, Jelena Kovačević

GVIN emulates the value iteration algorithm by using a novel graph convolution operator, which enables GVIN to learn and plan on irregular spatial graphs.


Fast Resampling of 3D Point Clouds via Graphs

no code implementations11 Feb 2017 Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević

We use a general feature-extraction operator to represent application-dependent features and propose a general reconstruction error to evaluate the quality of resampling.

Signal Representations on Graphs: Tools and Applications

no code implementations16 Dec 2015 Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević

For each class, we provide an explicit definition of the graph signals and construct a corresponding graph dictionary with desirable properties.

A statistical perspective of sampling scores for linear regression

no code implementations21 Jul 2015 Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević

In this paper, we consider a statistical problem of learning a linear model from noisy samples.


Signal Recovery on Graphs: Random versus Experimentally Designed Sampling

no code implementations21 Apr 2015 Siheng Chen, Rohan Varma, Aarti Singh, Jelena Kovačević

We study signal recovery on graphs based on two sampling strategies: random sampling and experimentally designed sampling.

Signal Recovery on Graphs: Variation Minimization

no code implementations26 Nov 2014 Siheng Chen, Aliaksei Sandryhaila, José M. F. Moura, Jelena Kovačević

We consider the problem of signal recovery on graphs as graphs model data with complex structure as signals on a graph.

Anomaly Detection General Classification +2

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