Sentence examples for optimal feature extraction from inspiring English sources

This paper will propose a cascade of minimum description length criterion with entropy approach along with artificial neural network (ANN) as an optimal feature extraction and selection tool for a wavelet packet transform based transformer differential protection.

In terms of mutual information, the optimal feature extraction is creating a feature set from the data which jointly have the largest dependency on the target class.

According to (3) and (4), compute object matrix M V, resolve the maximization problem as (7) and get the optimal embedding map V. Feature extraction: given a testing sample x T, extracted feature is z T = V TT x i.

According to (11) and (12), compute the object matrix M K, resolve the maximization problem as (15) and get the optimal embedding map A. Feature extraction: given a testing sample x T, extracted feature is k z T ) = A T K  i.

In this phase training data is collected from speech and music signals separately, and after processing and feature extraction, optimal separation thresholds between speech and music are set for each analyzed feature separately.

GNDE is formally stated as follows: 1) Compute affinity weight matrix W according to (2).   2) According to (3) and (4), compute object matrix M V, resolve the maximization problem as (7) and get the optimal embedding map V.   3) Feature extraction: given a testing sample x T, extracted feature is z T = V TT x i.  .

KGNDE is formally stated as follows: 1) Compute the affinity weight matrix W according to (2), compute kernel matrix K according to (9).   2) According to (11) and (12), compute the object matrix M K, resolve the maximization problem as (15) and get the optimal embedding map A.   3) Feature extraction: given a testing sample x T, extracted feature is k z T ) = A T K  i.  .

Features flagged in Feature Extraction as Feature Noutliersrm outliers were excluded.

It is therefore concluded that the combination of edge-based and line-linking digital image processing operations with the priori local optimal parameters is crucial in lineament feature extraction in heavily vegetated regions.

Optimal θ∗corresponding to the above four feature extraction methods are given in Table 1.

In this article, instead of finding an existing color model, we propose a color channel design method to find the most discriminative channel which is referred to as optimal chroma-like channel for a given feature extraction method.