Sentence examples for multiple feature vectors from inspiring English sources

The effectiveness of content-based image retrieval (CBIR) systems can be improved by combining image features or by weighting image similarities, as computed from multiple feature vectors.

By capturing the state characteristics of different targets, the multiple feature vectors are formed.

The state characteristics of different targets are captured; the composition of multiple feature vectors such as formula (4) is presented.

In this approach, several methods are inspected, which utilize multiple feature vectors of the sample images in a set to build up a more representative model of faces.

From formula (5), we can see that the high matching success rate can be guaranteed as long as the multiple feature vectors are solved correctly.

It is more reasonable to assume that multiple feature vectors live in a union of feature spaces, which is what the proposed method actually does in a principled way.

Two examples of such overlapped bIns are shour implementation

The problem involved with the standalone architecture is that the system has to perform multiple operations of feature vector extraction, enrollment and verification.

Multiple learners (base learners) are trained to solve the same problem by averaging over multiple classification models with different input feature vectors.

Assuming that each patient's data can be represented as a vector of HRV parameters and vital signs, the scoring system is built based on the calculation of geometric distances among a set of feature vectors (that is, multiple patients).

A straightforward strategy to handle multiple features is to concatenate all the feature vectors into a single feature vector.