115 search results - page 2 / 23 » Feature Sets and Dimensionality Reduction for Visual Object ... |
IBPRIA
2007
Springer
13 years 11 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
FIMH
2009
Springer
13 years 3 months ago
2009
Springer
Cardiac magnetic resonance (MR) imaging has advanced to become a powerful diagnostic tool in clinical practice. Automatic detection of anatomic landmarks from MR images is importan...
COMSIS
2010
13 years 2 months ago
2010
Dimensionality reduction is an important preprocessing step in high-dimensional data analysis without losing intrinsic information. The problem of semi-supervised nonlinear dimensi...
IV
2007
IEEE
13 years 11 months ago
2007
IEEE
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
DAGM
2009
Springer
13 years 12 months ago
2009
Springer
This paper describes a new approach for detecting objects based on measuring the spatial consistency between different parts of an object. These parts are pre-defined on a set of...