241 search results - page 3 / 49 » Nearest Neighbor Discriminant Analysis |
WACV
2002
IEEE
13 years 10 months ago
2002
IEEE
In this paper we present the results of a comparative study of linear and kernel-based methods for face recognition. The methods used for dimensionality reduction are Principal Co...
PAA
2008
13 years 5 months ago
2008
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
A study of generalization error in signal detection by multiple spatially-distributed and -correlated sensors is provided when the detection rule is learned from a finite number ...
PRL
2007
13 years 5 months ago
2007
The k-nearest neighbor rule is one of the simplest and most attractive pattern classification algorithms. However, it faces serious challenges when patterns of different classes...
IDA
2005
Springer
13 years 11 months ago
2005
Springer
—A simple yet effective unsupervised classification rule to discriminate between normal and abnormal data is based on accepting test objects whose nearest neighbors’ distances ...