The continuous transformation of the US military into an integrated and a dominant “full spectrum” capability requires a comprehensive and evolutionary system model (the objective) and a prescribed set of transformation processes (the means) whose incremental results are measurable against operational requirements. Given its sheer size and complexity, this military system must be partitioned in...

In this paper we combine clustering ensembles and semisupervised clustering to address the ill-posed nature of clustering. We introduce a mechanism which leverages the ensemble framework to bootstrap informative constraints directly from the data and from the various clusterings, without intervention from the user. Our approach is well suited for problems where the information available from an...

The autocorrelation function C ';" (('; ") = hg('; ") g(' + '; " + ")i (' and " are rescaled magnetic ux and energy) for the magnetoconductance of a ballistic chaotic quantum dot is calculated in the framework of the su-persymmetric non-linear-model. The Hamiltonian of the quantum dot is modelled by a Gaussian random matrix. The particular form of the symmetry breaking matrix is found to be rel...

We researched and developed a practical methodology for face and image retrieval (FIR) based on optimally weighted image descriptor ensemble. We describe a single-image-per-person (SIPP) face image retrieval system for real-world applications that include large photo collection search, person location in disaster scenarios, semi-automatic image data annotation, etc. Our system provides efficien...

ABSTRACT Hot spots residing on the surface of an accretion disc have been considered as a model of short-term variability of active galactic nuclei. In this paper we apply the theory of random point processes to model the observed signal from an ensemble of randomly generated spots. The influence of general relativistic effects near a black hole is taken into account and it is shown that typica...

Consider a n × n matrix from the Gaussian Unitary Ensemble (GUE). Given a finite collection of bounded disjoint real Borel sets (∆i,n, 1 ≤ i ≤ p), properly rescaled, and eventually included in any neighbourhood of the support of Wigner’s semi-circle law, we prove that the related counting measures (Nn(∆i,n), 1 ≤ i ≤ p), where Nn(∆) represents the number of eigenvalues within ∆, are asymptotical...

This paper presents a new procedure that imputes missing values by random forests for unsupervised data. We found that it works pretty well compared with k-nearest neighbor (kNN) and rough imputations replacing the median of the variables. Moreover, this procedure can be expanded to semisupervised data sets. The rate of the correct classification is higher than that of other conventional method...

We discuss some aspects of a recently proposed semi-classical transport theory for QCD plasmas based on coloured point particles. This includes the derivation of effective transport equations for mean fields and fluctuations which relies on the Gibbs ensemble average. Correlators of fluctuations are interpreted as collision integrals for the effective Boltzmann equation. The approach yields a r...

Résumé. OLAP et les entrepôts de données sont utilisés pour l’analyse de données transactionnelles. De nos jours, avec l’évolution d’Internet et le développement de formats d’échange de données semi-structurées comme par exemple XML, il est possible de considérer les documents comme source d’analyse. En conséquence, un environnement d’analyse multidimensionnel adapté à ce type de données est né...

Supervised polarity classification systems are typically domain-specific. Building these systems involves the expensive process of annotating a large amount of data for each domain. A potential solution to this corpus annotation bottleneck is to build unsupervised polarity classification systems. However, unsupervised learning of polarity is difficult, owing in part to the prevalence of sentime...