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Published in:
2015 | OriginalPaper | Chapter
Computationally Efficient Five-Class Image Classifier Based on Venn Predictors
Authors : J. Vega, S. Dormido-Canto, F. Martínez, I. Pastor, M. C. Rodríguez
Published in: Statistical Learning and Data Sciences
Publisher: Springer International Publishing
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This article shows the computational efficiency of an image classifier based on a Venn predictor with the nearest centroid taxonomy. It has been applied to the automatic classification of the images acquired by the Thomson Scattering diagnostic of the TJ-II stellarator. The Haar wavelet transform is used to reduce the image dimensionality. The average time per image to classify 1144 examples (in an on-line learning setting) is 0.166 ms. The classification of the last image takes 187 ms.