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The proposed method reconstructs a sparse RIR signal using signal statistics, sparsity information, and the problem structure.

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Analogously, our method reconstructs an individual subject's representational structure using a sequence of simple discrete choices (arising from mathematical integrals over the underlying structure) by explicit inversion of a model describing how responses depend on mental representations.

S3DMM-based methods reconstruct a 3D facial shape from 2D FFPs detected in an input 2D image.

These methods reconstruct a 3D face by modeling the relationships between the intensities and the depth information of the face using statistical learning techniques, such as principal component analysis (PCA), partial least squares, and canonical correlation analysis [13 16].

Reconstructions for the 'Total-Group' node are more equivocal: the most parsimonious state for both the constrained and unconstrained topologies is a Laurasian origin, while ML and Bayesian methods reconstruct a Gondwanan origin as being only slightly more likely.

In essence, this method reconstructs power changes, using a beamformer algorithm, at each frequency on a 16 point logarithmic scale (1.5 150 Hz) in each brain location on a 3D grid with 10-mm spacing, and uses a non-parametric analysis to identify significant clusters within this 4D brain frequency space.

Overall the DCT method reconstructs the missing data in a way that is more similar to the original signal in terms of STD compared to all the other methods.

Finally, we show that our method accurately reconstructs a number of ancestral networks for the bZIP family of proteins.

Here we present a new method that directly reconstructs a phylogeny from whole-genome short read sequence (SRS) data.

To assess the ability of a method to reconstruct a known structure from simulated data, or the stability of the reconstructed structure with respect to change in resolution or library preparation, we need quantitative measures of similarity between 3D structures.

This paper presents a method for reconstructing a 3D model from a freehand sketch.

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