Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications
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...hyperplane–, the criterion applied is to maximize the distance between the classes that it is distinguishing [29]....
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...In that sense, Support Vector Machines (SVMs) provide robust classification performance when the number of training samples is limited [23], which is common in medical applications [24]....
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...The latter aims to generate a classification model to identify the pixels in relation with different elements –commonly known as classes– existing within the image and to depict the boundaries among these classes in the feature space, hence assigning a class to each pixel of the image [23]....
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...this technology was originally aimed at remote sensing applications [2], nowadays it has spread to several research...
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