The Dynamic Spatial Approximation Tree (dsa--tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alternative data structures in spaces of high dimension or queries with low selectivity. The dsa--tree supports insertion and deletions of elements. However, it has been noted that deletions degrade the structure over time, so the structure cannot be regarded as fully dynamic in the sense that deletions are not sustainable for long periods of time
We propose a new data structure to search in metric spaces. A metric space is formed by a collectio...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searchin...
The Dynamic Spatial Approximation Tree (DSAT) is a data structure specially designed for searching i...
Abstract. The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searchi...
Metric space searching is an emerging technique to address the problem of similarity searching in ma...
Hybrid dynamic spatial approximation trees are recently proposed data structures for search-ing in m...
Many computational applications need to look for informa-tion in a database. Nowadays, the predomina...
Metric indices support efficient similarity searches in metric spaces. This problem is central to ma...
The Distal Spatial Approximation Tree (DiSAT) is one of the most competitive indexes for exact proxi...
Metric space searching is an emerging technique to address the problem of e cient similarity searchi...
In this paper, we propose a new metric index, called M+-tree, which is a tree dynamically organized ...
Querying large datasets by proximity, using a distance under the metric space model, has a large num...
We propose a new data structure to search in metric spaces. A metric space is formed by a collection...
We propose a new data structure to search in metric spaces. A metric space is formed by a collectio...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...
The Dynamic Spatial Approximation Tree (dsa–tree) is a recently proposed data structure for searchin...
The Dynamic Spatial Approximation Tree (DSAT) is a data structure specially designed for searching i...
Abstract. The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searchi...
Metric space searching is an emerging technique to address the problem of similarity searching in ma...
Hybrid dynamic spatial approximation trees are recently proposed data structures for search-ing in m...
Many computational applications need to look for informa-tion in a database. Nowadays, the predomina...
Metric indices support efficient similarity searches in metric spaces. This problem is central to ma...
The Distal Spatial Approximation Tree (DiSAT) is one of the most competitive indexes for exact proxi...
Metric space searching is an emerging technique to address the problem of e cient similarity searchi...
In this paper, we propose a new metric index, called M+-tree, which is a tree dynamically organized ...
Querying large datasets by proximity, using a distance under the metric space model, has a large num...
We propose a new data structure to search in metric spaces. A metric space is formed by a collection...
We propose a new data structure to search in metric spaces. A metric space is formed by a collectio...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...
Abstract. This paper presents the Evolutionary Geometric Near-neigh-bor Access Tree (EGNAT) which is...