Sentence examples for metric index from inspiring English sources

We introduce a novel indexing and searching mechanism called Metric Index (M-Index) that employs practically all known principles of metric space partitioning, pruning, and filtering, thus reaching high search performance while having constant building costs per object.

The matrix of Z-score values was transformed in distance metric index and a clustering tree was generated (see Methods).

Metric indices support efficient similarity searches in metric spaces.

Most of the current metric indexes focus on indexing the collection of reference.

In the experiments we show that the re-designed metric indexes significantly outperform their original versions.

In this paper we introduce new metric indices for secondary memory that support updates, that is, they are dynamic.

Most metric indices are designed for main memory, and also most of them are static, that is, do not support insertions and deletions of objects.

The circuits were evaluated using radial/spider graphs, and were evaluated based on the metric indices of efficiency, capacity, quality, economics and environmental impact.

In this paper, we present the concept of cut-regions that could heavily improve the performance of metric indexes that were originally designed to employ simple ball-regions.

We present three re-designed metric indexes originating from the above-mentioned ones but utilizing cut-regions instead of ball-regions.

Image classification techniques, forest landscape ecology, and multi-criteria analysis were used to evaluate the evolution of forest fragmentation to develop the landscape metric indexes, and to select potential forest fragments for seed harvesting for the years 1985 and 2013.