Concept

Projection matrix

Publications associées (35)

Functional data analysis by matrix completion

Traditional approaches to analysing functional data typically follow a two-step procedure, consisting in first smoothing and then carrying out a functional principal component analysis. The idea underlying this procedure is that functional data are well ap ...

EPFL2017

From Nano- to Micrometer Scale: The Role of Antisolvent Treatment on High Performance Perovskite Solar Cells

Mohammad Khaja Nazeeruddin, Yi Zhang, Francesco Stellacci, Pascal Alexander Schouwink, Peng Gao, Sanghyun Paek, Giulia Grancini, Kyung Taek Cho, Evangelia-Nefeli Athanasopoulou

To date, antisolvent treatment has become one of the most important means to fabricate high efficiency perovskite solar cells (PSCs); however, the few reported antisolvents have not been analyzed on a uniform platform, and there is hitherto no clear reason ...

American Chemical Society2017

Learning the weight matrix for sparsity averaging in compressive imaging

Jean-Philippe Thiran, Dimitris Perdios, Adrien Georges Jean Besson

We propose to map the fast iterative shrinkage-thresholding algorithm to a deep neural network (DNN), with a sparsity prior in a concatenation of wavelet bases, in the context of compressive imaging. We exploit the DNN architecture to learn the optimal wei ...

2017

MATHICSE Technical Report : A matrix discrete empirical interpolation method for the efficient model reduction of parametrized nonlinear PDEs: application to nonlinear elasticity problems

Alfio Quarteroni, Andrea Manzoni

When using Newton iterations to solve nonlinear parametrized PDEs in the context of Reduced Basis (RB)methods, the assembling of the RB arrays in the online stage depends in principle on the high-fidelityapproximation. This task is even more challenging wh ...

MATHICSE2016

Group-Sparse Model Selection: Hardness and Relaxations

Volkan Cevher, Anastasios Kyrillidis, Luca Baldassarre, Nirav Bhan

Group-based sparsity models are proven instrumental in linear regression problems for recovering signals from much fewer measurements than standard compressive sensing. The main promise of these models is the recovery of ``interpretable" signals along with ...

Institute of Electrical and Electronics Engineers2016

Developing a 3D finite element model for reinforced concrete

Lucas Henri Galilée Frérot

The embedded model is used in finite elements to account for the influence of the reinforcement in concrete. This report describes the embedded model, its concept and equations. Details are also given as to the constitutive relations of concrete and steel. ...

2015

Reducing Randomness in Matrix Models for Wireless Communication

Marc Desgroseilliers

Pushed by the proliferation of antennas and of multiuser scenarios, matrices with random entries are appearing more and more frequently in information theory. This leads to the study of matrix channels, where the capacity depends on the distribution of the ...

EPFL2015

Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Mohammadjavad Taghizadeh

We consider the problem of ad~hoc microphone array calibration where the distance matrix consisted of all microphones pairwise distances have entries missing corresponding to distances greater than

d_{\text{max}}

. Furthermore, the known entries are noisy ...

Idiap2014

Estimation of Space-Time Varying Parameters Using a Diffusion LMS Algorithm

Ali H. Sayed

We study the problem of distributed adaptive estimation over networks where nodes cooperate to estimate physical parameters that can vary over both space and time domains. We use a set of basis functions to characterize the space-varying nature of the para ...

2014

On the probability distribution of distributed optimization strategies

Ali H. Sayed

We study the steady-state probability distribution of diffusion and consensus strategies that employ constant step-sizes to enable continuous adaptation and learning. We show that, in the small step-size regime, the estimation error at each agent approache ...

IEEE2013

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Theoretical Analysis of Euclidean Distance Matrix Completion for Ad hoc Microphone Array Calibration

Mohammadjavad Taghizadeh

We consider the problem of ad~hoc microphone array calibration where the distance matrix consisted of all microphones pairwise distances have entries missing corresponding to distances greater than

d_{\text{max}}

. Furthermore, the known entries are noisy ...

Idiap2014