Publication

Is there a common factor for vision?

Publications associées (25)

Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation

Giovanni De Micheli, Hassan Ghasemzadeh Mohammadi, Pierre-Emmanuel Julien Marc Gaillardon

With the growing number of process variation sources in deeply nano-scaled technologies, parameterized device and circuit modeling is becoming very important for chip design and verification. However, the high dimensionality of parameter space, for process ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG-fMRI

Wietske Van der Zwaag, João Pedro Forjaco Jorge, Ana Francisca Leal Silva Soares, Patricia Figueiredo

The ballistocardiogram (BCG) artifact is currently one of the most challenging in the EEG acquired concurrently with fMRI, with correction invariably yielding residual artifacts and/or deterioration of the physiological signals of interest. In this paper, ...

Elsevier2016

Eigenmaps Of Dynamic Functional Connectivity: Voxel-Level Dominant Patterns Through Eigenvector Centrality

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) based on resting-state functional magnetic resonance imaging (fMRI) explores the ongoing temporal configuration of brain networks. To reduce the large dimensionality of the data, conventional dFC analysis usually fores ...

IEEE2016

Fast Robust PCA on Graphs

Pierre Vandergheynst, Nathanaël Perraudin, Gilles Puy, Vasilis Kalofolias, Nauman Shahid

Mining useful clusters from high dimensional data has received significant attention of the computer vision and pattern recognition community in the recent years. Linear and non-linear dimensionality reduction has played an important role to overcome the c ...

Ieee-Inst Electrical Electronics Engineers Inc2016

Spatial interpolation of experimental raindrop size distribution spectra

Alexis Berne, Timothy Hugh Raupach

We present a new approach for spatial interpolation of experimental raindrop size distribution (DSD) spectra. The DSD is fundamental to the study and understanding of precipitation and its monitoring and modelling. It is measured insitu using disdrometers ...

Wiley-Blackwell2016