53 search results - page 8 / 11 » Discriminant Projections Embedding for Nearest Neighbor Clas... |
GRC
2008
IEEE
13 years 9 months ago
2008
IEEE
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
ICIP
2008
IEEE
14 years 3 months ago
2008
IEEE
—Beyond conventional linear and kernel-based feature extraction, we present a more generalized formulation for feature extraction in this paper. Two representative algorithms usi...
BIOINFORMATICS
2005
13 years 8 months ago
2005
In genomic studies, thousands of features are collected on relatively few samples. One of the goals of these studies is to build classifiers to predict the outcome of future obser...
ICML
2007
IEEE
14 years 9 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
ICIAR
2005
Springer
14 years 2 months ago
2005
Springer
We consider quantitatively establishing the discriminative power of iris biometric data. It is difficult, however, to establish that any biometric modality is capable of distingui...