Camilo Vargas

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The paper describes a proposal for interactive visualization of a data-mining model generated with Association Rule (AR) technique, applying the Self-Organizing Map (SOM). Representations of visual perception model of AR based on a schema called AVM-DM (Augmented Visualization Models for Data Mining) are established, together with data and patterns, which(More)
This paper focuses on evaluating the pre-processing impact in detecting low contrast regions on irregular surfaces with non-homogeneous lighting. Non homogeneous lighting represents an obstacle to the correct segmenta-tion and subsequent classification of relevant image regions. For example in grayscale images, intensity variations are detected on the same(More)
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