Sentence examples for correspondence features from inspiring English sources

The SIFT algorithm is implemented in the "Correspondence features" component.

Figure 4a shows the candidate block center and vectors from the correspondence features.

The estimate is based on the average of the vector end-points from the correspondence features.

The correspondence features are searched using the well-known SIFT algorithm (scale invariant feature transform).

The "Correspondence features" component computes feature vectors for the test and reference images (Fr, Ft).

The "Correspondence areas" component locates correspondence blocks with the aid of the correspondence features.

Figure 4 The centers of the correspondence blocks are approximated from the correspondence feature points.

This means that for a novel target T m + 1 that is not seen in the previous training dataset, as long as it can be explicitly represented in the correspondence feature space, the system can also rank the compounds on this target.

Therefore, a gene will be connected to all features for which the correspondence "feature j - gene i" exists.

For the present method, it is of particular interest to note that both bio-molecular interaction networks and annotation lists can be represented as bipartite graphs whenever the correspondence "feature j - gene i" can be established (or, more generally, "feature j - molecule i").

The points denote correspondence-feature points.