115 search results - page 2 / 23 » Feature Sets and Dimensionality Reduction for Visual Object ... |
111
Voted
IBPRIA
2007
Springer
15 years 7 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...
135
Voted
FIMH
2009
Springer
14 years 11 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...
99
Voted
COMSIS
2010
14 years 10 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...
98
Voted
IV
2007
IEEE
15 years 7 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. ...
125
Voted
DAGM
2009
Springer
15 years 7 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...