In this work the use of statistical techniques will be approached for segmentation of SAR images, with the purpose of ship detection, being used RADARSAT images of the Brazilian coast. As described in Rocha et al (2001) and Rocha and Stech (2003), a specific software for ship detection was developed where, based on Eldhuset (1996), Vachon et al (1997), Oliver and Quegan (1998), Zaart et al (199...

The spectrum of the quasar Q0055-269 (z = 3:66) has been observed at the resolution of 14 km s 1 in the wavelength interval 4750{6300 A. We give a list of Lyman lines and metal-line systems for which column densities and Doppler widths have been derived by a tting procedure. The statistical distribution of the Doppler parameter for the Lyman lines is peaked at b ' 23 km s 1, with 13% of lines w...

We report on the study of unusual spin glass properties in the geometrically frustrated pyrochlore Tb(2)Mo(2)O(7), T(g) ~/= 24 K. The analysis of the nonlinear part of dc and complex susceptibilities, near the glass transition regime, suggests the existence of a statistical distribution of relaxation times in short-range ordered ferromagnetic clusters. In addition, the magnetic spins are not su...

Stock returns over the two years surrounding 24 currency devaluations are examined. Using bootstrapped distributions, returns preceding the devaluation are shown to be significantly below normal, in both dollar and local currency terms. Most of the downturn, however, occurs well before the month of the devaluation. Returns following a devaluation are more normal. While industry and company spec...

In this study, we implemented a new method for measuring the temporal delay of functional magnetic resonance imaging (fMRI) responses and then estimated the statistical distribution of response delays evoked by visual stimuli (checkered annuli) within and across voxels in human visual cortex. We assessed delay variability among different cortical sites and between parenchyma and blood vessels. ...

Most experimental research on content-based automatic recognition and identification of musical documents is founded on statistical distribution of timbre or simple retrieval mechanisms like comparison of melodic segments. Therefore often a vast number of relevant and irrelevant hits including multiple appearances of the same documents are returned or the actual document can’t be revealed at al...

We provide new results on asymptotic values for the random knapsack problem. For a very general model in which the parameters are determined by a rather arbitrary joint distribution, we compute the rate of growth as the number of objects increases, the number of constraints being fixed. For a particular model, we find strong bounds on the asymptotic value as the numbers of objects and constrain...

Previous studies have shown that infant-directed speech ('motherese') exhibits overemphasized acoustic properties which may facilitate the acquisition of phonetic categories by infant learners. It has been suggested that the use of infant-directed data for training automatic speech recognition systems might also enhance the automatic learning and discrimination of phonetic categories. This stud...

By defining the phenotype of a biopolymer by its active three-dimensional shape, and its genotype by its primary sequence, we propose a model that predicts and characterizes the statistical distribution of a population of biopolymers with a specific phenotype that originated from a given genotypic sequence by a single mutational event. Depending on the ratio g(0) that characterizes the spread o...

PURPOSE In the presence of random uncertainties, delivered radiation treatment doses in patient likely exhibit a statistical distribution. The expected dose and variance of this distribution are unknown and are most likely not equal to the planned value since the current treatment planning systems cannot exactly model and simulate treatment machine. Relevant clinical questions are 1) how to qua...