We derive concentration inequalities for the spectral measure of large random matrices, allowing for certain forms of dependence. Our main focus is on empirical covariance (Wishart) matrices, but general symmetric random matrices are also considered.

This paper is focused on analyzing the performance of various matching methods that could be applied to multipledomain imagery matching for photogrammetric and remote sensing purpose. More precisely, the matching between the LiDAR intensity imagery and optical satellite/airborne image domains is of interest, which is a challenging task due to substantial differences such as dissimilarity in sen...

In large scale multiple testing, the use of an empirical null distribution rather than the theoretical null distribution can be critical for correct inference. This paper proposes a “mode matching” method for fitting an empirical null when the theoretical null belongs to any exponential family. Based on the central matching method for z-scores, mode matching estimates the null density by fittin...

When animals repeatedly choose actions from multiple alternatives, they can allocate their choices stochastically depending on past actions and outcomes. It is commonly assumed that this ability is achieved by modifications in synaptic weights related to decision making. Choice behavior has been empirically found to follow Herrnstein’s matching law. Loewenstein & Seung (2006) demonstrated that ...

We present a new method for matching a region between an input and a query image, based on the P-channel representation, and using integral images. In this paper, we propose an improvement of the integral image methods that allows using normalized spatial coordinates in the descriptor. Using integral images, the P-channel representation of a given region is extracted with a few arithmetic opera...

In large scale multiple testing, the use of an empirical null distribution rather than the theoretical null distribution can be critical for correct inference. This paper proposes a “mode matching” method for fitting an empirical null when the theoretical null belongs to any exponential family. Based on the central matching method for z-scores, mode matching estimates the null density by fittin...

In real applications, time series are generally of complex structure, exhibiting different global behaviors within classes. To discriminate such challenging time series, we propose a multiple temporal matching approach that reveals the commonly shared features within classes, and the most differential ones across classes. For this, we rely on a new framework based on the variance/covariance cri...