228 search results - page 12 / 46 » Efficiently Mining Regional Outliers in Spatial Data |
TMM
2002
13 years 7 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
Given models for healthy brains, tumor segmentation can be seen as a process of detecting abnormalities or outliers that are present with certain image intensity and geometric prop...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
BTW
2009
Springer
14 years 2 months ago
2009
Springer
: In the past couple of years, sensor networks have evolved to a powerful infrastructure component for monitoring and tracking events and phenomena in many application domains. An ...
CINQ
2004
Springer
13 years 11 months ago
2004
Springer
The conflict between resource consumption and query performance in the data mining context often has no satisfactory solution. This not only stands in sharp contrast to the need of...