Sentence examples for deviation features from inspiring English sources

Phase deviation features have been widely used to detect departure from steady state behavior of a note, and hence, successfully applied to onset detection [31, 32].

Here, node 1 has been instructed to execute a service subgraph that splits the sensor data in windows, computes mean and standard deviation features, and locally classifies these features to indicate whether the gesture correspond to a movement of the hand going to the mouth.

The ST segment deviation and K point deviation features were therefore compared at 1 and 1.5 times their greatest physiological threshold.

For both ST deviation features, results for detection rates are at the lower end of the reported values in the literature.

The deviation features were used to find alternative pathways to produce products of the knocked out reaction by its substrates S. In the metabolic network, these substrates can also be consumed by other reactions yielding their products etc.

By simply sliding the sensor on the surfaces without any load and speed controller, we found that the highest classification accuracy of (82.6 ± 10.8) % can be achieved using solely one PVDF film sensor with kNN (k = 9) classifier and the standard deviation feature, i.e., the developed approach is very affordable, robust and suitable for real time surface roughness evaluation.

The proposed algorithms, especially mean and standard deviation feature vector, have small feature dimensions.

(iii) Spectral deviation: feature related to the fine structure of the spectral envelope.

Mean and standard deviation feature vector also provides similar performance and has less complexity due to its smaller feature dimension.

Euclidian distance is used with the mean and standard deviation feature vector and Kullback-Leibler distance measure with kernel density feature vector.

The PO-aligned mean-standard deviation feature vector and kernel density feature vector are denoted as F μσ PO and F KDE PO, respectively.