31 citations · 58 across the 8 of their papers we have counts for
9 papers
When Data do not Bring Information: A Case Study in Markov Random Fields Estimation
J. Gimenez, A. C. Frery, Ana Georgina Flesia
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…
Accuracy of MAP segmentation with hidden Potts and Markov mesh prior models via Path Constrained Viterbi Training, Iterated Conditional Modes and Graph Cut based algorithms
Ana Georgina Flesia, Josef Baumgartner, Javier Gimenez +1
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 hidd…
Assessment of long-range correlation in animal behaviour time series: the temporal pattern of locomotor activity of Japanese quail (Coturnix coturnix) and mosquito larva (Culex quinquefasciatus)
Jackelyn M. Kembro, Ana Georgina Flesia, Raquel M. Gleiser +2
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 beh…
Markovian models for one dimensional structure estimation on heavily noisy imagery
Ana Georgina Flesia, Javier Gimenez, Elena Rufeil Fiori
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…
Unsupervised edge map scoring: a statistical complexity approach
Javier Gimenez, Jorge Martinez, Ana Georgina Flesia
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} ind…
Large gaps imputation in remote sensed imagery of the environment
Valeria Rulloni, Oscar Bustos, Ana Georgina Flesia
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 sen…