Sentence examples for multidimensional feature space from inspiring English sources

Thus, UWB data detection is formulated as a pattern classification problem in a multidimensional feature space.

The training samples are audio feature vectors which are distributed in a multidimensional feature space.

There exist a myriad methods to partition our multidimensional feature space into several classification regions.

An effective method for designing neural network to classify patterns in the multidimensional feature space is introduced.

The idea behind SVR is based on the computation of a linear regression in a multidimensional feature space.

Images are mapped to a multidimensional feature space, where images belonging a semantic are clustered and indexed to acquire its efficient representation.

In contrast, our method extracts detailed subjective distributions over multidimensional feature spaces in a way that it can be used with essentially any task type in which performance depends on these distributions.

Then, the detection of received signal can be formulated to determining a separating hyper-plane which divides the two-group pattern objects in a multidimensional features space, under the minimum classification errors [42].

Then, we obtained the n × n matrix V consisting of variance scores was used to reconstruct the feature space by multidimensional scaling (Cox TF and Cox MAA 2001) using the "cmdscale" function in the stats package (version 2.3.1) on the R software platform (version 2.3.1; Becker et al. 1988), with the default parameter settings.

Before classification, a multidimensional feature vector is computed for each pixel, such that in the corresponding feature space, vessels and background are more separable than in the original image space.

Next we projected the proximity relationships among 48 strains in this 6-dimensional feature space onto 2 dimensions by using classical multidimensional scaling (MDS).