Covariance matrices have recently been a popular choice for versatile tasks like recognition and tracking due to their powerful properties as local descriptor and their low comput...
We consider the task of dimensionality reduction for regression (DRR) whose goal is to find a low dimensional representation of input covariates, while preserving the statistical ...
We introduce the concept of a spatiogram, which is a generalization of a histogram that includes potentially higher order moments. A histogram is a zeroth-order spatiogram, while ...
In the general area of radar detection, estimation of the clutter covariance matrix is an important point. This matrix commonly exhibits a persymmetric structure: this is the case...
Guilhem Pailloux, Philippe Forster, Jean Philippe ...
Let S be a p × p random matrix having a Wishart distribution Wp(n, n−1Σ). For testing a general covariance structure Σ = Σ(ξ), we consider a class of test statistics Th = n...