502 search results - page 54 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. This paper introduces the application of the feature transformation approach proposed by Torkkola [1] to the domain of image processing. Thereto, we extended the approach...
ALMOB
2007
13 years 9 months ago
2007
Background: Feature selection plays an undeniably important role in classification problems involving high dimensional datasets such as microarray datasets. For filter-based featu...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper, we address the problem of finding the pre-image of a feature vector in the feature space induced by a kernel. This is of central importance in some kernel applicatio...
BMCBI
2002
13 years 8 months ago
2002
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
MM
2005
ACM
14 years 2 months ago
2005
ACM
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...