540 search results - page 19 / 108 » Dimensionality Reduction for Data in Multiple Feature Repres... |
CIKM
2008
Springer
13 years 8 months ago
2008
Springer
Finding latent patterns in high dimensional data is an important research problem with numerous applications. The most well known approaches for high dimensional data analysis are...
CVPR
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
SODA
2010
ACM
14 years 4 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...
JMM2
2008
13 years 6 months ago
2008
Unsupervised or Self-Organized learning algorithms have become very popular for discovery of significant patterns or features in the input data. The three prominent algorithms name...
TVCG
2011
13 years 1 months ago
2011
— The growing sizes of volumetric data sets pose a great challenge for interactive visualization. In this paper, we present a feature-preserving data reduction and focus+context ...