Sentence examples similar to dimensional feature extraction from inspiring English sources

This problem, known as the "curse of dimensionality", is very often tackled by the use of low-dimensional feature extraction of the entire set of pixels or sparse regression of high-dimensional local features [4].

Principal component analysis (PCA) is a linear dimensionality reduction and feature extraction method for high-dimensional data.

For analysis, the raw SAW sensor array data is preprocessed by logarithmic scaling followed by dimensional autoscaling and the feature extraction by principal component analysis (PCA).

The two-dimensional random projection for feature extraction is an extension of the 1D compressive sampling technique to 2D and is computationally more efficient than its 1D counterpart and 2D reconstruction is guaranteed.

For feature extraction, we first extract 13-dimensional MFCC features and the cepstral features are processed with RASTA filtering.

Helixhunter is capable of reliably identifying helix position, orientation and length using a five-dimensional cross-correlation search of a three-dimensional density map followed by feature extraction.

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

1. Feature extraction: First, 13 dimensional Mel frequency cepstral coefficients (MFCCs) [22] are extracted.

At the end of DWT method and statistical procedures used for feature extraction, five-dimensional feature vectors belonging to EEG segments related to every emotional state were obtained.

It involves creation of 3-dimensional structure (mmff94 force field), feature extraction (Chemical Development Kit (CDK) and hashed finger prints), clustering (k-means cascade method), embedding in 3-D space (or Dimensionality reduction) and alignment of compounds using maximum common subgraph (MCS).

In this paper we analyze the high dimensional feature space created by a variety of feature extraction methods for prediction of epileptic seizures.