The paper describes a new method of continuously mon-itoring the nearest neighbors of a given object in the mo-bile environment. Instead of monitoring all nearest neigh-bors, we choose to monitor the -th (nearest) neighbor since the necessary condition of changes in the KNN is the change of the -th neighbor. In addition, rather than in the origi-nal space, we consider the moving objects in a transformed time-distance (TD) space, where each object is represented by a curve. A beach-line algorithm is developed to monitor the change of the -th neighbor, which enables us to main-tain the KNN incrementally. An extensive empirical study shows that the beach-line algorithm outperforms the most efficient existing algorithm by a wide margin, espec...
The motion planning problem consists of finding a valid path for a robot (movable object) from a sta...
Given a data set P, a k-means query returns k points in space (called centers), such that the averag...
Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic sce...
In general, algorithms to find continuous k-nearest neighbors have been researched on the location b...
With the growing number of mobile applications, data analysis on large sets of historical mov-ing ob...
Assume a set of moving objects and a central server that monitors their positions over time, while p...
In general, algorithms to find continuous k-nearest neighbors have been researched on the location b...
With the continued proliferation of wireless communications and advances in positioning technologies...
Proximity problems is a class of important problems which involve estimation of distances between ge...
With the proliferation of wireless communications and the rapid advances in technologies for trackin...
The thesis describes the basic concept of the K-nearest neighbors algorithm and its connection with ...
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries ov...
In general, algorithms to find continuous k-nearest neighbors has been researched on the location ba...
Continuous k -nearest neighbor (C k NN) search is a variation of k NN search that the system persist...
A continuous nearest neighbor query retrieves the nearest neighbor (NN) of every point on a line seg...
The motion planning problem consists of finding a valid path for a robot (movable object) from a sta...
Given a data set P, a k-means query returns k points in space (called centers), such that the averag...
Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic sce...
In general, algorithms to find continuous k-nearest neighbors have been researched on the location b...
With the growing number of mobile applications, data analysis on large sets of historical mov-ing ob...
Assume a set of moving objects and a central server that monitors their positions over time, while p...
In general, algorithms to find continuous k-nearest neighbors have been researched on the location b...
With the continued proliferation of wireless communications and advances in positioning technologies...
Proximity problems is a class of important problems which involve estimation of distances between ge...
With the proliferation of wireless communications and the rapid advances in technologies for trackin...
The thesis describes the basic concept of the K-nearest neighbors algorithm and its connection with ...
Many location-based applications require constant monitoring of k-nearest neighbor (k-NN) queries ov...
In general, algorithms to find continuous k-nearest neighbors has been researched on the location ba...
Continuous k -nearest neighbor (C k NN) search is a variation of k NN search that the system persist...
A continuous nearest neighbor query retrieves the nearest neighbor (NN) of every point on a line seg...
The motion planning problem consists of finding a valid path for a robot (movable object) from a sta...
Given a data set P, a k-means query returns k points in space (called centers), such that the averag...
Recent research has focused on continuous monitoring of nearest neighbors (NN) in highly dynamic sce...