9 search results - page 1 / 2 » A Weighted Nearest Mean Classifier for Sparse Subspaces |
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
In this paper we focus on high dimensional data sets for which the number of dimensions is an order of magnitude higher than the number of objects. From a classifier design standp...
ICPR
2004
IEEE
14 years 5 months ago
2004
IEEE
In this paper, we propose a novel classification method, called nearest intra-class space (NICS), for face recognition. In our method, the distribution of face patterns of each pe...
AAAI
1997
13 years 5 months ago
1997
The minimum-distance classifier summarizes each class with a prototype and then uses a nearest neighbor approach for classification. Three drawbacks of the original minimum-distan...
VLSISP
2010
13 years 2 months ago
2010
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
JMLR
2006
13 years 4 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...