70 search results - page 3 / 14 » Efficient Feature Selection in the Presence of Outliers and ... |
106
Voted
BMCBI
2004
14 years 11 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
79
Voted
ICTAI
2002
IEEE
15 years 4 months ago
2002
IEEE
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
78
Voted
BMCBI
2006
14 years 11 months ago
2006
Background: Feature selection is an approach to overcome the 'curse of dimensionality' in complex researches like disease classification using microarrays. Statistical m...
199
Voted
ECCV
2010
Springer
15 years 5 months ago
2010
Springer
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
90
Voted
SAC
2010
ACM
14 years 12 months ago
2010
ACM
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...