Sentence examples for minimum distance classifier from inspiring English sources

A window-based minimum distance classifier is proposed to detect and classify subsurface events with wireless signal networks.

Finally, a minimum distance classifier estimates the grade of each experimental data.

Minimum distance classifier was designed in the resulting DCT SRDA subspace to evaluate the feature extraction performance.

In the subsurface water leakage simulation, the proposed window-based minimum distance classifier first detects subsurface events, and then conducts the water leakage event classification into different water contents.

In contrast to that LM-NNDA is a NN classifier induced discriminant analysis method, we further show that the classical Fisher linear discriminant analysis (FLDA) is a minimum distance classifier (i.e. nearest Class-mean classifier) induced discriminant analysis method.

Assignment of the poles to the components by minimum distance classifier.

The k-nearest neighbour and minimum distance classifiers with different distance metrics have been implemented in the instrument.

Then, features extracted from the EOG traces are used as inputs to a pair of minimum distance classifiers whose outputs reveal the gaze shift performed by the eyes.

Further interesting comparisons would be with Bayesian classifiers (e.g., [81]), rule-based AI classifiers (e.g., [82]), or some of those (variants of Bayesian, neural net, minimum distance classifiers) in the data mining environment of ADaM [83].

The land-cover classification using the RISA-derived image segments resulted in higher accuracy than the classifications using the image segments derived from the Definiens software (eCognition) and original image pixels in combination with a minimum-distance classifier.

Additionally, it is shown that the C-T estimates can be used to implement various forms of minimum-distance classifiers for individual channels and for single-channel heterogeneous, multi-channel homogeneous, and multi-channel heterogeneous homogenous ERP classification through decision fusion.