This paper introduces a new statistical hypothesis test for robust image classification. First, we introduce the proposed statistical hypothesis test based ...

Nov 13, 2015 · ABSTRACT. This paper introduces a new statistical hypothesis test for ro- bust image classification. First, we introduce the proposed.

ABSTRACT. This paper introduces a new statistical hypothesis test for ro- bust image classification. First, we introduce the proposed.

In this work, we analyze several statistical hypothesis tests depending on both parameters to discriminate two samples from G 0 models with both parameters ...

Bibliographic details on Statistical hypothesis test for robust classification on the space of covariance matrices.

Oct 29, 2024 · This paper describes a class of robust test statistics for simply hypothesis tests, as well as an algorithm to determine the necessary inflation.

Feb 28, 2024 · A hypothesis related to the block structure of a covariance matrix under the doubly multivariate normal model is studied.

One goal of this paper is to create a more cohesive bridge between SVM and statistical classification. Within the re- stricted setting of binary classification, ...

We analyze covariance estimation algorithms under three different cases of imperfect constraints: 1) only rank constraint, 2) both rank and noise power ...

A robust statistic is defined as a statistic that is not highly sensitive to small amounts of contamination in the data.