Analysis of a comprehensive set of features extracted from blogs for prediction of movie sales is presented. We use correlation, clustering and time-series analysis to study which features are best predictors.

In this paper we consider the problem of reconstructing the spatial support of noise sources from boundary measurements using cross correlation techniques. We consider media with and without attenuation and provide efficient imaging functionals in both cases. We also discuss the case where the noise sources are spatially correlated. We present numerical results to show the viability of the diff...

Log analysis is an important way to keep track of computers and networks. The use of automated analysis always results in false reports, however these can be minimized by proper specification of recognition criteria. Current analysis approaches fail to provide sufficient support for the recognizing the temporal component of log analysis. Temporal recognition of event sequences fall into distinc...

In this paper we present results of an analysis of radio-quiet QSO environments. The aim is to determine the relation between QSOs, galaxies and the mass distribution as a function of redshift. We cross-correlate a sample of 150 QSOs from optically and X-ray selected catalogues with faint, b J < 23, galaxies. These data allow us to probe the galaxy clustering environment of QSOs out to z 1:0 ? ...

Development of theory and experiments to retrieve Green’s functions from cross correlations of recorded wave fields between two receivers has grown rapidly in the last seven years. The theory includes situations with flow, mechanical and electromagnetic disturbances and their mutual coupling. Here an electromagnetic theory is presented for Green’s function retrieval from cross correlations that...

S U M M A R Y The Green’s function that describes wave propagation between two receivers can be reconstructed by cross-correlation provided that the receivers are surrounded by sources on a closed surface. This technique is referred to as ‘interferometry’ in exploration seismology. The same technique for Green’s function extraction can be applied to the solution of the diffusion equation if the...

The Wiener series is one of the standard methods to systematically characterize the nonlinearity of a neural system. The classical estimation method of the expansion coefficients via cross-correlation suffers from severe problems that prevent its application to high-dimensional and strongly nonlinear systems. We propose a new estimation method based on regression in a reproducing kernel Hilbert...

The result of the recent publication [1] of a broad maximum around 25 degrees in the two-point autocorrelation function of ultra-high energy cosmic ray arrival directions has been intriguingly interpreted as the first imprint of the large scale structures (LSS) of baryonic matter in the near universe. We analyze this suggestion in light of the clustering properties expected from the PSCz astron...

Datasets are usually compared using cross-correlation, often using a moving window to calculate the correlation as a function of time or space. However, signals can be considered as being composed of sinusoids which possess amplitudes, frequencies and phases. All these three attributes can be computed at each point in time, and then used as the basis of a cross-correlation method. By using all ...

(Zitnick and Kanade, 2000) proposes a cooperative approach for disparity estimation from stereo imagery based on support and inhibition in three-dimensional (3D) disparity space. By several means we obtain a significant improvement over the results reported for (Zitnick and Kanade, 2000) in (Scharstein and Szeliski, 2002). The results are in the range of the best approaches in (Scharstein and S...