Supervised Learning for Haptics Texture Classification Using Fourier Analysis-Edición Única

The method combines the advantages of pruning by ordered aggregation and instance-based pruning; namely the generalization performance of the ensemble is improved, the

• H 1 : If a feature estimation method developed a similarity function more effective in the determination of nearest examples associated to relevant label sets for classification,

First, we try to obtain very good accu- racy in the classification using a very small challenge dataset, second, we use different combination of data augmentation with the aim to

The general objective of this doctoral thesis can be summarized in the study, implementation and validation of a set of techniques aimed at the automa- tion of the radiographic

In this Chapter, a combined approach for classification and localization of simultaneously occurring meeting room acoustic events is presented. For classification,

 ASTM D2487: Standard practice for classification of soils for engineering purposes (Unified Soil Classification System).. BSI (British

In chapter 4 we will justify that Recursive Maxima Hunting finds the points that appear in the Bayes rule when the mean of the second class is piecewise linear and the noise

In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of