845 search results - page 22 / 169 » Complexity Dimensions and Learnability |
TSP
2010
13 years 4 months ago
2010
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
GD
2005
Springer
14 years 3 months ago
2005
Springer
Clustered graph is a very useful model for drawing large and complex networks. This paper presents a new method for drawing clustered graphs in three dimensions. The method uses a ...
APWEB
2010
Springer
14 years 1 months ago
2010
Springer
The skyline of a set P of multi-dimensional points (tuples) consists of those points in P for which no clearly better point in P exists, using component-wise comparison on domains ...
CCGRID
2010
IEEE
13 years 10 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
CACM
2010
13 years 9 months ago
2010
Data represented geometrically in high-dimensional vector spaces can be found in many applications. Images and videos, are often represented by assigning a dimension for every pix...