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SSDBM
2009
IEEE
119views Database» more  SSDBM 2009»
13 years 11 months ago
Identifying the Most Endangered Objects from Spatial Datasets
Abstract. Real-life spatial objects are usually described by their geographic locations (e.g., longitude and latitude), and multiple quality attributes. Conventionally, spatial dat...
Hua Lu, Man Lung Yiu
SPATIALCOGNITION
2004
Springer
13 years 10 months ago
Identifying Objects on the Basis of Spatial Contrast: An Empirical Study
In contrast to most research on spatial reference, the scenario in our human-robot experiments focuses on identifying rather than localising objects using spatial language. The rel...
Thora Tenbrink
MLDM
2009
Springer
13 years 11 months ago
Regional Pattern Discovery in Geo-referenced Datasets Using PCA
Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
ECCV
2008
Springer
14 years 6 months ago
Learning Spatial Context: Using Stuff to Find Things
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the...
Geremy Heitz, Daphne Koller
SSD
2007
Springer
131views Database» more  SSD 2007»
13 years 11 months ago
Efficiently Mining Regional Outliers in Spatial Data
With the increasing availability of spatial data in many applications, spatial clustering and outlier detection has received a lot of attention in the database and data mining comm...
Richard Frank, Wen Jin, Martin Ester