21 search results - page 4 / 5 » Analyzing High-Dimensional Data by Subspace Validity |
DAGM
2010
Springer
13 years 7 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
BMCBI
2010
13 years 6 months ago
2010
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
BMCBI
2007
13 years 6 months ago
2007
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
KDD
2009
ACM
14 years 7 months ago
2009
ACM
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
CVPR
2008
IEEE
14 years 25 days ago
2008
IEEE
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...