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In this work we study the varying importance of faces in images. Face importance is found to be affected by the size and number of faces present. We collected a dataset of 152 face images with faces in different size and number of faces. We conducted a cro ...

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On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

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Sinusoidal transforms such as the DCT are known to be optimal—that is, asymptotically equivalent to the Karhunen-Loève transform (KLT)—for the representation of Gaussian stationary processes, including the classical AR(1) processes. While the KLT remains ...

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On The Optimality Of Operator-Like Wavelets For Sparse Ar(1) Processes

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Modeling the Importance of Faces in Natural Images

Reticular Synchorisation (Keynote)

Fourier Analysis of Functional Time Series, with Applications to DNA Dynamics

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

A Unifying Parametric Framework for 2D Steerable Wavelet Transforms

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Cramer-Karhunen-Loeve representation and harmonic principal component analysis of functional time series

Sparse Reverberant Audio Source Separation via Reweighted Analysis

Reticular Synchorisation (Keynote)

Fourier Analysis of Functional Time Series, with Applications to DNA Dynamics

On the Optimality of Operator-Like Wavelets for Sparse AR(1) Processes

Modeling the Importance of Faces in Natural Images

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes-Part I: Continuous-Domain Theory

Statistics of Wavelet Coefficients for Sparse Self-Similar Images

Reverberant Audio Source Separation via Sparse and Low-Rank Modeling

A Unifying Parametric Framework for 2D Steerable Wavelet Transforms

Cramer-Karhunen-Loeve representation and harmonic principal component analysis of functional time series