This paper deals with error analysis and their influence in comparative and qualitative evaluation of systems performing anaphora resolution. It presents a corpus-based analysis of errors reported by four anaphora resolution systems, leading to an investigation of the type and source of errors; as a direct application of the investigation’s results, a simple probabilistic hybrid method is descr...

Detecting community structure is fundamental for uncovering the links between topological structure and function in complex networks. A popular method now widely used relies on the optimization of a quantity called modularity. But modularity optimization has a fundamental drawback: there exists a resolution limit which depends on the total size of the network and on the degree of interconnected...

In the purpose to deal with artifact on observations measurements resulting from usual speech processing, we propose to extend the representation of the speech signal by taking a sequence of sets of observations instead of a simple sequence of observations. A set of observations is computed from temporal Multi-Resolution (MR) analysis. This method is designed to be adapted to any usual mode and...

When short data records are available, spectral analysis is basically an undetermined linear inverse problem. One usually considers the theoretical setting of regularization to solve such ill-posed problems. In this paper, we rst show that "nonparametric" and "high resolution" are not incompatible in the eld of spectral analysis. To this end, we introduce non quadratic convex penalization funct...

The X-ray charge density analysis of a hydroxynaphthoquinnne derivative was obtained by multipolar Hansen-Coppens formalism refinement through high resolution X-ray diffraction data at 100(1) K. The molecularproperties of the title compound resulted from the combined experimental and the quantum theory of atoms inmolecules (QTAIM) studies. The topological properties of the covalent bonds and of...

The literature in geographic information science and related fields contains a variety of definitions and understandings for the term resolution. The goal of this paper is to discuss them and to provide a framework that makes at least some of these different senses compatible. The ultimate goal of our work is an ontological account of resolution. In a first stage, resolution and related notions...

This article is concerned with the use of unsupervised methods to process very high resolution satellite images with minimal or little human intervention. In a context where more and more complex and very high resolution satellite images are available, it has become increasingly difficult to propose learning sets for supervised algorithms to process such data and even more complicated to proces...

We outline a distributed coding technique for images captured from sensors with overlapping fields of view in a sensor network. First, images from correlated views are roughly registered (relative to a sensor of primary interest) via a low-bandwidth data-sharing method involving image feahlre points and feature point wrrespondence. An area of overlap is then idenuied, and each sensor transmits ...

The normal matrix for full matrix least squares contains a wealth of information about the behavior of the problem. In particular, the eigenvalues and eigenvectors contain all of the information concerning precision of parameter determination and correlation of parameters. This information is valid even if the refinement is underdetermined. Full-matrix analysis is likely to prove valuable for l...

In this paper we propose an eigenimage based superresolution reconstruction technique. Eigenimages of a database of several similar low resolution images are obtained and the given low resolution image is projected on to the eigenimages to compute the eigenimage coefficients. The eigenimages are then interpolated using any conventional interpolation method and approximated to the nearest orthon...