28 search results - page 3 / 6 » Analysis of Minimum Distances in High-Dimensional Musical Sp... |
SAC
2004
ACM
13 years 11 months ago
2004
ACM
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application. In this paper, we compare two commonly used dis...
BMCBI
2006
13 years 6 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...
BMVC
2010
13 years 4 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
ICPR
2008
IEEE
14 years 21 days ago
2008
IEEE
The Gaussian mixture model (GMM) can approximate arbitrary probability distributions, which makes it a powerful tool for feature representation and classification. However, it su...
ALENEX
2001
13 years 7 months ago
2001
Range searches in metric spaces can be very di cult if the space is \high dimensional", i.e. when the histogram of distances has a large mean and a small variance. The so-cal...