Sentence examples for a weighted vector from inspiring English sources

More precisely, a weighted vector median filter is used to maintain the motion field spatial coherence.

The calculation of the movement vector (overrightarrow{m}) is a weighted vector sum of the vectors connecting the robot ((overrightarrow{r}) position) to each associated marker ((overrightarrow{s}) position): overrightarrow{m}=sum_{k=1}^{N}{f}_k overrightarrow {s}_k-overrightarrow{r}), (1) where N is the number of markers in the set S r).

We distinguish two cases: In the range (epsilon ge 2r) one can argue as in (3.4) to deduce that for each (j=1,ldots,n) we may assume without loss of generality that the contribution due to (u_jX^epsilon _{i_{epsilon, j}}) follows from the choice of a weighted vector, and hence is of the form (u_j epsilon ^{d k -1} Y_k) for some (k>m).

The transmitter can adjust the antennas from the current vector in the positive direction or negative direction by using a perturbation vector to form an odd weighted vector or an even weighted vector.

Let (hat{y}) be a properly efficient solution of (1) and let (y^) be a positive weighted vector for obtaining (hat{y}).

Let (hat{y}) be a properly efficient solution of (1) and let ((y^, alpha )in (mathbb {R}^{p}_)^{a#}) be a positive weighted vector for obtaining (hat{y}).

end{aligned}Thus, (frac{y^_{j}}{y^_{i}}) can be a substitute for M in Geoffrion's definition of proper efficiency if (y^) is a positive weighted vector.

In this paper, a class of weighted vector directional filters (WVDFs) based on the selection of the output sample from the multichannel input set is analyzed and optimized.

The center vector weighted method A weighted center vector classification method is proposed by Shankar [32], which firstly defines a method of characteristics to distinguish ability, the ability to distinguish between rights and get a new center vector.

In sparsity model, each hyperspectral pixel is represented by a linear combination of a few samples from an overcomplete dictionary, and the weighted vector for such reconstruction is sparse.

As a consequence, proper names are likely to jeopardize or, at least, to not contribute to the distance between a transcript and a synopsis when using the tf-idf weighted vector space model.