Sentence examples for augmenting features from inspiring English sources
Proposals to address childhood obesity are often aimed at augmenting features of the environment by improving access to healthy foods in or around the home and school, reducing accessibility and exposure to unhealthy food, and/or providing more opportunities for exercise and vigorous play.
Augmenting features derived from physiochemical proprieties of amino acids (such as hydrophobicity, complexity, etc).
We find that augmenting features derived from physiochemical properties of amino acids (such as hydrophobicity, complexity etc).
Naturally, one can expect to improve classification accuracy by augmenting Feature 1 to the raw data.
In the same way that augmented reality introduces enhanced or "augmented" features that provide enrichment to your experiences, companies looking to pivot to a digital innovation approach should focus on taking small, incremental steps.
Using synthetic and real dataset examples, we demonstrate significant performance improvement of classification algorithms constructed for these datasets with correspondingly augmented features.
Additionally, an augmented feature technique is adopted to use additional knowledge derived from conventional noise and acoustic echo suppression techniques when designing the DNN architecture in our algorithm.
That is, an augmented feature vector is constructed by stacking the cortical features on the top of the 20-dimensional MFCCs and the 12-dimensional chroma features.
Having computed Ομ,ν(c), the augmented feature vector, namely the edge-based Gabor magnitude (EGM) feature matrix Ζ(p), is obtained by concatenating each Ομ,ν(c) already downsampled by a factor p, where p = 64 becomes Ο ⌣ μ, ν c and normalized to zero mean and unit variance.
The same weighting approach and similarity measure can also be applied to such augmented feature vector.
More specifically, the three duplicate copies of the original feature set in the augmented source feature space represent a common feature set, a source specific feature set, and a target specific feature set which is always set to zero.
