130 search results - page 1 / 26 » Separating Populations with Wide Data: A Spectral Analysis |
ISAAC
2007
Springer
13 years 11 months ago
2007
Springer
In this paper, we consider the problem of partitioning a small data sample drawn from a mixture of k product distributions. We are interested in the case that individual features a...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
In medical imaging, constructing an atlas and bringing an image set in a single common reference frame may easily lead the analysis to erroneous conclusions, especially when the po...
BMCBI
2010
13 years 5 months ago
2010
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
ICDE
2008
IEEE
14 years 6 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
Recently morphological diversity and sparsity have emerged as new and effective sources of diversity for Blind Source Separation. Based on these new concepts, novel methods such a...