1454 search results - page 236 / 291 » On High Dimensional Skylines |
IJPRAI
2006
13 years 10 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
DATAMINE
2007
13 years 10 months ago
2007
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
JCB
2006
13 years 10 months ago
2006
The task of finding saddle points on potential energy surfaces plays a crucial role in understanding the dynamics of a micromolecule as well as in studying the folding pathways of...
PAMI
2008
13 years 10 months ago
2008
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
PR
2006
13 years 10 months ago
2006
In many pattern recognition applications, high-dimensional feature vectors impose a high computational cost as well as the risk of "overfitting". Feature Selection addre...