Sentence examples for neighbor features from inspiring English sources

It has been noted previously elsewhere [7, 13], that quantitative differences between the position of the FSDPs in SiO2 and GeSe2 can be correlated directly with differences between the respective (1) Si O and Ge Se bond-lengths, 1.65 and 2.39 Å, and (2) Si Si and Ge Ge next neighbor features as determined by the respective Si O Si and Ge Se Ge bond angles, ~148° and ~105°.

We model the conditional distribution of the random variable Z j (i )∈{+1, −1} by a logistic regression model The model has parameters (b, w 1, w 2); b is the intercept term which controls the trade-off between false positives and false negatives, w 1 is the set of weights corresponding to the residue features, while w 2 is the set of weights for the structural neighbor features.

Then, the fall detection based on coarse-to-fine strategy and the nearest neighbor feature line embedding (NNFLE) algorithm are presented in Section 3.

Then, the 50-dimensional temporal-based motion history image (MHI) feature vectors are projected into the nearest neighbor feature line space to verify the fall down incident in the fine stage.

Then, the horizontal projected motion history image (MHI) features of fall-like actions are used in the fine stage to verify the fall by the nearest neighbor feature line embedding.

The horizontal projection of motion history images (MHI) extracted from fall-like actions are then designed to verify the incident by the proposed nearest neighbor feature line embedding (NNFLE) in the fine stage.

The total radial distribution function (RDF) given by this model is in reasonable agreement with the experimental RDF [21] including a two-peak first neighbor feature in g(r) (see Figure 1).

The details associated with each step including the human body extraction, the analysis of optical flows in the coarse stage, the extraction of MHIs in the fine stage, and the nearest neighbor feature line embedding for fall verification are described in the following contexts.

where ( {x}_i^{mathrm{within}} ) indicates the projected point of x i on the nearest neighbor feature lines (NNFLs) formed by the samples with the same labels, and ( {x}_i^{mathrm{between}} ) indicates the projected point of x i on NNFLs formed by the samples with different labels from x i.

GOTHAM WALK Tomorrow at 11 45 and 2 15, "Highlights of Seinfeld and His Neighbors," features real and fictitious trivia along the Upper West Side on a walk from 67th to 86th Streets.

Then a filter is designed using indeterminacy membership value, and neighbors' features are employed to alleviate indeterminacy degree of image.