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Model selection is important in deciding among competing computational models in many scientific research domains including in cognition processing. This paper presents an information geometric model selection criterion GMSC and shows its application in cognition. IGMSC computes the geometric complexity of the model by regarding the model space as the manifold and estimates the model-data geometric...
Clustering-based image segment approach is popular in image processing. It consists in separating pixel features into clusters representing homogeneous regions. In the kind of methods, determining the number of clusters is an open problem. In this paper, we propose an efficient model selection algorithm for automatically determining the number of clusters. The algorithm roots the try-and-error approach...
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