75 search results - page 1 / 15 » Optimal dimensionality of metric space for classification |
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
BMCBI
2006
13 years 4 months ago
2006
Background: The most fundamental task using gene expression data in clinical oncology is to classify tissue samples according to their gene expression levels. Compared with tradit...
STOC
2004
ACM
14 years 5 months ago
2004
ACM
The doubling dimension of a metric is the smallest k such that any ball of radius 2r can be covered using 2k balls of raThis concept for abstract metrics has been proposed as a na...
CIVR
2006
Springer
13 years 8 months ago
2006
Springer
This paper proposes a novel approach for the construction and use of multi-feature spaces in image classification. The proposed technique combines low-level descriptors and defines...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...