Sentence examples for feature clusters from inspiring English sources

The input feature clusters were processed using parallel and cascade architecture with multiple input layers.

They feature clusters of similar reflectance spectra that largely corresponding to un-shaded colours, but not necessarily pure pigments.

A MMSAR contains a single keyword and several visual feature clusters, which crosses and associates the two modalities of Web images.

Conclusion is provided in Section 7. Our goal is to identify the non-stationarity feature clusters that represent discriminative characteristics of each group.

Given a set of feature vectors, f → z z = 1, …, Z, the following phases are performed in the algorithm to identify K feature clusters [9]: 1.

To compare the performance of the signature-based dissimilarity with other fixed histogram-based ones, the quantization level was matched by clustering a color image into only 10 color feature clusters.

Figure 1 Discriminant feature clustering for a synthetic example.

Figure 2 displays the schematic of our proposed discriminant feature clustering method.

The article covers in detail the formulation of the proposed discriminant feature clustering method.

The structure of this article is as follows: Section 2 explains the discriminant feature clustering methodology.

In order to proceed towards such a feature clustering approach, there is a need for a non-stationary feature extraction and clustering technique that detects the discriminant features.