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Angel Mandujano-García

Bio: Angel Mandujano-García is an academic researcher. The author has co-authored 1 publications.

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TL;DR: A modern technique for elastic matching comparison is performed, which considers all data in the matrices, globally, and not just analizing extracted features like other available techniques do.
Abstract: There are few elastic matching techniques that take matrices as input. Perform an analysis comparing the similarity of features while the existing ones techniques are purely statistical. A modern technique for elastic matching comparison is performed in this paper. This technique considers all data in the matrices, globally, and not just analizing extracted features like other available techniques do. Experimental results are presented using a synthetic dataset of matematical functions; however this method works for any object or phenomenon that can be represented as matrix.