Original scientific paper The objectives of this paper are to perform a comparative analysis of the large-scale system of a high-pier railway bridge subjected to stationary and nonstationary spatially varying earthquake excitations using the pseudo-excitation method (PEM), and to estimate whether or not the non-stationary stochastic analysis of the high-pier railway bridges under tri-directiona...

We investigate the robust PCA problem of decomposing an observed matrix into the sum of a low-rank and a sparse error matrices via convex programming Principal Component Pursuit (PCP). In contrast to previous studies that assume the support of the error matrix is generated by uniform Bernoulli sampling, we allow non-uniform sampling, i.e., entries of the low-rank matrix are corrupted by errors ...

Suppose we are given a matrix that is formed by adding an unknown sparse matrix to an unknown low-rank matrix. Our goal is to decompose the given matrix into its sparse and low-rank components. Such a problem arises in a number of applications in model and system identification, and is NP-hard in general. In this paper we consider a convex optimization formulation to splitting the specified mat...

We deal with the statistical matching problem and in particular we study the problem related to the managing of inconsistencies. In fact, when logical relations among the variables are present incoherence can arise in the probability evaluations. The aim of this paper is to remove such incoherences by using different methods. Specific precise distances minimization or least committal imprecise ...

We consider the problem of reconstructing a sparse signal x0 ∈ R from a limited number of linear measurements. Given m randomly selected samples of Ux0, where U is an orthonormal matrix, we show that 1 minimization recovers x0 exactly when the number of measurements exceeds m const · μ(U) · S · log n, where S is the number of nonzero components in x0 and μ is the largest entry in U properly nor...

Abstract Being incoherent is often viewed as a paradigm kind of irrationality. Numerous authors attempt to explain the distinct-seeming failure incoherence by positing set requirements structural rationality. I argue that notion coherence are meant capture very slippery, and intuitive judgments – in particular, charge distinct, blatant irrationality imperfectly correlated with respecting canon ...

A hypothesis is nested within a more general hypothesis when it is a special case of the more general hypothesis. Composite hypotheses consist of more than one component, and in many cases different composite hypotheses can share some but not all of these components and hence are overlapping. In statistics, coherent measures of fit of nested and overlapping composite hypotheses are technically ...

In the dominant theoretical framework, human communication is modeled as the faithful transmission of information. This implies that when people are involved in communicational exchanges, they should be sensitive to the success with which information is transmitted, easily detecting when conversations lack coherence. The expectation that humans are good at detecting conversational incoherence i...

Dictionary learning (DL) for sparse coding based classification has been widely researched in pattern recognition in recent years. Most of the DL approaches focused on the reconstruction performance and the discriminative capability of the learned dictionary. This paper proposes a new method for learning discriminative dictionary for sparse representation based classification, called Incoherent...