26 search results - page 2 / 6 » Bayesian regression with input noise for high dimensional da... |
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
BMCBI
2006
13 years 5 months ago
2006
Background: Gene expression profiling has become a useful biological resource in recent years, and it plays an important role in a broad range of areas in biology. The raw gene ex...
SODA
2010
ACM
14 years 2 months ago
2010
ACM
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
ICANN
2005
Springer
13 years 11 months ago
2005
Springer
Image superresolution involves the processing of an image sequence to generate a still image with higher resolution. Classical approaches, such as bayesian MAP methods, require ite...
CAIP
1997
Springer
13 years 9 months ago
1997
Springer
Abstract. In this paper a new method for analyzing the intrinsic dimensionality (ID) of low dimensional manifolds in high dimensional feature spaces is presented. The basic idea is...