174 search results - page 5 / 35 » Dimensionality reduction using magnitude and shape approxima... |
ICML
2005
IEEE
14 years 9 months ago
2005
IEEE
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
MICCAI
2007
Springer
14 years 9 months ago
2007
Springer
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
CIT
2006
Springer
14 years 8 days ago
2006
Springer
Hash functions play the most important role in various cryptologic applications, ranging from data integrity checking to digital signatures. Our goal is to introduce a new hash fu...
ICIP
2003
IEEE
14 years 1 months ago
2003
IEEE
A method is presented for segmentation of anatomical structures that incorporates prior information about shape. The method iteratively applies steps which find object’s border ...
IDA
1998
Springer
13 years 8 months ago
1998
Springer
A fast and simple algorithm for approximately calculating the principal components (PCs) of a data set and so reducing its dimensionality is described. This Simple Principal Compo...