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Converting ECG and Other Paper Legated Biomedical Maps into Digital Signalstal conversion of legated paper biomedical maps without requiring dedicated hardware. This software-based approach is particularly helpful for digitalizing biomedical signals acquired from analogical devices equipped with a plottingter. Albeit signals used in biomedical diagnosis are the primary con

pacific

Hand Drawn Symbol Recognition by Blurred Shape Model Descriptor and a Multiclass Classifierferent writer styles. In this paper, we propose the Blurred Shape Model to describe handwritten symbols, and the use of Adaboost in an Error Correcting Codes framework to deal with multi-class categorization handwriting problems. It is a robust approach tolerant to the distortions and variability ty

易弯曲

Servile

平

On the Joint Use of a Structural Signature and a Galois Lattice Classifier for Symbol Recognitionres are based on topological graphs computed from segments which are extracted from the symbol images by using an adapted Hough transform. These structural signatures, which can be seen as dynamic paths which carry high level information, are robust towards various transformations. They are classifi

insolence

A Discriminative Representation for Symbolic Image Similarity Evaluationf an image and how to describe the information with an intermediate representation, namely, image representation, because the image representation has great influence on the efficiency and performance of the similarity evaluation. In this paper, we focus on the domain of symbolic image recognition a

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Consensus