36 search results - page 3 / 8 » Identifying the Most Endangered Objects from Spatial Dataset... |
KDD
2005
ACM
14 years 6 months ago
2005
ACM
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
SIGMOD
1994
ACM
13 years 10 months ago
1994
ACM
Spatial joins are one of the most important operations for combining spatial objects of several relations. In this paper, spatial join processing is studied in detail for extended...
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Temporal datasets, in which data evolves continuously, exist in a wide variety of applications, and identifying anomalous or outlying objects from temporal datasets is an importan...
UAI
2004
13 years 7 months ago
2004
We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to d...
Publication
The top-k similarity joins have been extensively studied and used
in a wide spectrum of applications such as information retrieval, decision
making, spatial data analysis and dat...