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pro vyhledávání: '"Flesia, Ana Georgina"'
Autor:
Kembro, Jackelyn Melissa1,2 (AUTHOR), Flesia, Ana Georgina3,4 (AUTHOR), Acosta-Rodríguez, Victoria América5 (AUTHOR), Takahashi, Joseph S.5,6 (AUTHOR), Nieto, Paula Sofía3,7 (AUTHOR) paula.nieto@unc.edu.ar
Publikováno v:
Communications Biology. 3/9/2024, Vol. 7 Issue 1, p1-13. 13p.
Akademický článek
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The Potts model is frequently used to describe the behavior of image classes, since it allows to incorporate contextual information linking neighboring pixels in a simple way. Its isotropic version has only one real parameter beta, known as smoothnes
Externí odkaz:
http://arxiv.org/abs/1402.1734
In this paper, we study statistical classification accuracy of two different Markov field environments for pixelwise image segmentation, considering the labels of the image as hidden states and solving the estimation of such labels as a solution of t
Externí odkaz:
http://arxiv.org/abs/1307.2971
Autor:
Kembro, Jackelyn M., Flesia, Ana Georgina, Gleiser, Raquel M., Perillo, María A., Marín, Raúl H.
The aim of this study was to evaluate the performance of a classical method of fractal analysis, Detrended Fluctuation Analysis (DFA), in the analysis of the dynamics of animal behavior time series. In order to correctly use DFA to assess the presenc
Externí odkaz:
http://arxiv.org/abs/1304.8038
Radar (SAR) images often exhibit profound appearance variations due to a variety of factors including clutter noise produced by the coherent nature of the illumination. Ultrasound images and infrared images have similar cluttered appearance, that mak
Externí odkaz:
http://arxiv.org/abs/1304.7713
We propose a new Statistical Complexity Measure (SCM) to qualify edge maps without Ground Truth (GT) knowledge. The measure is the product of two indices, an \emph{Equilibrium} index $\mathcal{E}$ obtained by projecting the edge map into a family of
Externí odkaz:
http://arxiv.org/abs/1302.5186
Publikováno v:
In Information Fusion October 2019 50:197-211
Imputation of missing data in large regions of satellite imagery is necessary when the acquired image has been damaged by shadows due to clouds, or information gaps produced by sensor failure. The general approach for imputation of missing data, that
Externí odkaz:
http://arxiv.org/abs/1006.4330
Autor:
Flesia, Ana Georgina, Fraiman, Ricardo
In this paper, we address the question of comparison between populations of trees. We study an statistical test based on the distance between empirical mean trees, as an analog of the two sample z statistic for comparing two means. Despite its simpli
Externí odkaz:
http://arxiv.org/abs/0708.1733