114 search results - page 14 / 23 » Dynamic Spatial Approximation Trees for Massive Data |
134
Voted
IPPS
2006
IEEE
15 years 8 months ago
2006
IEEE
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
121
Voted
RSFDGRC
2005
Springer
15 years 8 months ago
2005
Springer
We discuss the problems of spatio-temporal reasoning in the context of hierarchical information maps and approximate reasoning networks (AR networks). Hierarchical information maps...
169
Voted
ICDM
2010
IEEE
15 years 18 days ago
2010
IEEE
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algori...
120
Voted
CVPR
1998
IEEE
16 years 4 months ago
1998
IEEE
A method is presented for e cient and reliable object recognition within noisy, cluttered, and occluded range images. The method is based on a strategy which hypothesizes the inte...
138
Voted
SSDBM
2006
IEEE
15 years 8 months ago
2006
IEEE
With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-ti...