Ntorina Thanou

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Related publications (39)

Distributed Signal Processing with Graph Spectral Dictionaries

Pascal Frossard, Ntorina Thanou

2015

Laplacian Matrix Learning for Smooth Graph Signal Representation

Pascal Frossard, Pierre Vandergheynst, Ntorina Thanou, Xiaowen Dong

The construction of a meaningful graph plays a crucial role in the emerging field of signal processing on graphs. In this paper, we address the problem of learning graph Laplacians, which is similar to learning graph topologies, such that the input data fo ...

2015

Graph-based motion estimation and compression for dynamic 3D point cloud compression

Pascal Frossard, Ntorina Thanou

2015

Learning Parametric Dictionaries for Signals on Graphs

Pascal Frossard, Ntorina Thanou, David Shuman

In sparse signal representation, the choice of a dictionary often involves a tradeoff between two desirable properties – the ability to adapt to specific signal data and a fast implementation of the dictionary. To sparsely represent signals residing on wei ...

Institute of Electrical and Electronics Engineers2014

Parametric dictionary learning for graph signals

Pascal Frossard, Ntorina Thanou, David Shuman

We propose a parametric dictionary learning algorithm to design structured dictionaries that sparsely represent graph signals. We incorporate the graph structure by forcing the learned dictionaries to be concatenations of subdictionaries that are polynomia ...

2013

Distributed average consensus with quantization refinement

Pascal Frossard, Ntorina Thanou, Ye Pu, Effrosyni Kokiopoulou

We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. We propose a novel quantization scheme that exploits the increasing correlation between the values exchanged by ...

Institute of Electrical and Electronics Engineers2013

Progressive quantization in distributed average consensus

Pascal Frossard, Effrosyni Kokiopoulou, Ntorina Thanou

We consider the problem of distributed average consensus in a sensor network where sensors exchange quantized information with their neighbors. In particular, we exploit the increasing correlation between the exchanged values throughout the iterations of t ...

2012

Compressed classification of observation sets with linear subspace embeddings

Pascal Frossard, Ntorina Thanou

We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of random projections in generic sensor devices and we take some first steps in in ...

2011

Polynomial Filter Design for Quantized Consensus

Pascal Frossard, Ntorina Thanou, Effrosyni Kokiopoulou, Hyung Gon Park

We consider the problem of distributed average consensus where sensors exchange quantized data with their neighbors. We deploy a polynomial filtering approach in the network nodes in order to accelerate the convergence of the consensus problem. The quantiz ...

2010

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