581 search results - page 34 / 117 » EM in High Dimensional Spaces |
ICML
2004
IEEE
15 years 4 months ago
2004
IEEE
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
DATE
2007
IEEE
15 years 5 months ago
2007
IEEE
Partial reconfiguration allows parts of the reconfigurable chip area to be configured without affecting the rest of the chip. This allows placement of tasks at run time on the rec...
NIPS
2008
15 years 5 days ago
2008
In solving complex visual learning tasks, adopting multiple descriptors to more precisely characterize the data has been a feasible way for improving performance. These representa...
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ICDE
2012
IEEE
13 years 1 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
CIKM
2003
Springer
15 years 4 months ago
2003
Springer
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...