Hierarchical Markovian models for hyperspectral image segmentationHyperspectral images can be represented either as a set of images or as a set of spectra. Spectral classification and segmentation and data reduction are the main problems in hyperspectral image…Ali Mohammad-Djafari, Adel Mohammadpoor, Nadia Bali·May 17, 2007SaveLearn
Non Gaussianity and Non Stationarity modeled through Hidden Variables and their use in ICA and Blind Source SeparationModeling non Gaussian and non stationary signals and images has always been one of the most important part of signal and image processing methods. In this paper, first we propose a few new models,…Ali Mohammad-Djafari·May 16, 2007SaveLearn
Dirichlet or Potts ?When modeling the distribution of a set of data by a mixture of Gaussians, there are two possibilities: i) the classical one is using a set of parameters which are the proportions, the means and the…Ali Mohammad-Djafari·May 16, 2007SaveLearn
Annotated Bibliography of Some Papers on Combining Significances or p-valuesA question that comes up repeatedly is how to combine the results of two experiments if all that is known is that one experiment had a n-sigma effect and another experiment had a m-sigma effect. This…Robert D. Cousins·May 15, 2007SaveLearn
Markov properties in presence of measurement noiseRecently, several powerful tools for the reconstruction of stochastic differential equations from measured data sets have been proposed [e.g. Siegert et al., Physics Letters A 243, 275 (1998); Hurn…David Kleinhans, Rudolf Friedrich, Matthias Waechter et al.·May 9, 2007SaveLearn
Mykyta the Fox and networks of languageThe results of quantitative analysis of word distribution in two fables in Ukrainian by Ivan Franko: "Mykyta the Fox" and "Abu-Kasym's slippers" are reported. Our study consists…Yu. Holovatch, V. Palchykov·May 9, 2007SaveLearn
Improved estimation of Fokker-Planck equations through optimisationAn improved method for the description of hierarchical complex systems by means of a Fokker-Planck equation is presented. In particular the limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithm…A. P. Nawroth, J. Peinke, D. Kleinhans et al.·May 9, 2007SaveLearn
Tail universalities in rank distributions as an algebraic problem: the beta-like functionAlthough power laws of the Zipf type have been used by many workers to fit rank distributions in different fields like in economy, geophysics, genetics, soft-matter, networks etc., these fits usually…Gerardo G. Naumis, Germinal Cocho·May 4, 2007SaveLearn
A multivariate approach to heavy flavour tagging with cascade trainingThis paper compares the performance of artificial neural networks and boosted decision trees, with and without cascade training, for tagging b-jets in a collider experiment. It is shown, using a…J. Bastos, Y. Liu·Apr 27, 2007SaveLearn
Symmetry Breaking Study with Deformed EnsemblesA random matrix model to describe the coupling of m-fold symmetry in constructed. The particular threefold case is used to analyze data on eigenfrequencies of elastomechanical vibration of an…J. X. Carvalho, M. S. Hussein, M. P. Pato et al.·Apr 10, 2007SaveLearn
Etched Glass Surfaces, Atomic Force Microscopy and Stochastic AnalysisThe effect of etching time scale of glass surface on its statistical properties has been studied using atomic force microscopy technique. We have characterized the complexity of the height…G. R. Jafari, M. Reza Rahimi Tabar, A. Iraji zad et al.·Apr 8, 2007SaveLearn
Controlling surface statistical properties using bias voltage: Atomic force microscopy and stochastic analysisThe effect of bias voltages on the statistical properties of rough surfaces has been studied using atomic force microscopy technique and its stochastic analysis. We have characterized the complexity…P. Sangpour, G. R. Jafari, O. Akhavan et al.·Apr 8, 2007SaveLearn
The Effect of Annealing Temperature on Statistical Properties of WO3 SurfaceWe have studied the effect of annealing temperature on the statistical properties of WO3 surface using atomic force microscopy techniques (AFM). We have applied both level crossing and structure…G. R. Jafari, A. A. Saberi, R. Azimirad et al.·Apr 8, 2007SaveLearn
Bibliometric statistical properties of the 100 largest European universities: prevalent scaling rules in the science systemFor the 100 largest European universities we studied the statistical properties of bibliometric indicators related to research performance, field citation density and journal impact. We find a…Anthony F. J. van Raan·Apr 6, 2007SaveLearn
Non-extensive thermodynamics of 1D systems with long-range interactionA new approach to non-extensive thermodynamical systems with non-additive energy and entropy is proposed. The main idea of the paper is based on the statistical matching of the thermodynamical…S. S. Apostolov, Z. A. Mayzelis, O. V. Usatenko et al.·Apr 6, 2007SaveLearn
Long-range correlation and multifractality in Bach's Inventions pitchesWe show that it can be considered some of Bach pitches series as a stochastic process with scaling behavior. Using multifractal deterend fluctuation analysis (MF-DFA) method, frequency series of Bach…G. R. Jafari, P. Pedram, L. Hedayatifar·Apr 5, 2007SaveLearn
Estimation of experimental data redundancy and related statisticsRedundancy of experimental data is the basic statistic from which the complexity of a natural phenomenon and the proper number of experiments needed for its exploration can be estimated. The…I. Grabec·Apr 2, 2007SaveLearn
Extraction of physical laws from joint experimental dataThe extraction of a physical law y=yo(x) from joint experimental data about x and y is treated. The joint, the marginal and the conditional probability density functions (PDF) are expressed by given…I. Grabec·Apr 2, 2007SaveLearn
Experimental modeling of physical lawsA physical law is represented by the probability distribution of a measured variable. The probability density is described by measured data using an estimator whose kernel is the instrument…I. Grabec·Apr 1, 2007SaveLearn
A general approach to statistical modeling of physical laws: nonparametric regressionStatistical modeling of experimental physical laws is based on the probability density function of measured variables. It is expressed by experimental data via a kernel estimator. The kernel is…I. Grabec·Apr 1, 2007SaveLearn
A global algorithm for clustering univariate observationsThis paper deals with the clustering of univariate observations: given a set of observations coming from K possible clusters, one has to estimate the cluster means. We propose an algorithm based on…Paul Terre Fety·Mar 30, 2007SaveLearn
Efficient Uncertainty Minimization for Fuzzy Spectral ClusteringSpectral clustering uses the global information embedded in eigenvectors of an inter-item similarity matrix to correctly identify clusters of irregular shape, an ability lacking in commonly used…Brian White, David Shalloway·Mar 27, 2007SaveLearn
The Normalized Radial Basis Function Neural Network and its Relation to the PerceptronThe normalized radial basis function neural network emerges in the statistical modeling of natural laws that relate components of multivariate data. The modeling is based on the kernel estimator of…I. Grabec·Mar 25, 2007SaveLearn
A Topological Pattern of Urban Street Networks: Universality and PeculiarityIn this paper, we derive a topological pattern of urban street networks using a large sample (the largest so far to the best of our knowledge) of 40 U.S. cities and a few more from elsewhere of…Bin Jiang·Mar 24, 2007SaveLearn
Analysis of the structure of complex networks at different resolution levelsModular structure is ubiquitous in real-world complex networks, and its detection is important because it gives insights in the structure-functionality Modular structure is ubiquitous in real-world…Alex Arenas, Alberto Fernandez, Sergio Gomez·Mar 23, 2007SaveLearn