58 search results - page 7 / 12 » Principal Component Analysis with Contaminated Data: The Hig... |
106
Voted
BMCBI
2006
14 years 9 months ago
2006
Background: Evaluating the importance of the different sources of variations is essential in microarray data experiments. Complex experimental designs generally include various fa...
92
Voted
APVIS
2008
14 years 11 months ago
2008
Facial emotions and expressive facial motions have become an intrinsic part of many graphics systems and human computer interaction applications. The dynamics and high dimensional...
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. To generalize the Fisher Discriminant Analysis (FDA) algorithm to the case of discriminant functions belonging to a nonlinear, finite dimensional function space F (Nonli...
BMCBI
2006
14 years 9 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
NIPS
2004
14 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...