1454 search results - page 73 / 291 » On High Dimensional Skylines |
CVPR
2008
IEEE
15 years 1 months ago
2008
IEEE
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
SIGMOD
2001
ACM
14 years 11 months ago
2001
ACM
Similarity search in large time series databases has attracted much research interest recently. It is a difficult problem because of the typically high dimensionality of the data....
SODA
2012
ACM
12 years 1 months ago
2012
ACM
We initiate the study of graph sketching, i.e., algorithms that use a limited number of linear measurements of a graph to determine the properties of the graph. While a graph on n...
BMCBI
2011
13 years 2 months ago
2011
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
NPL
1998
13 years 10 months ago
1998
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...