Now showing items 1-2 of 2
A neural relevance model for feature extraction from hyperspectral images, and its application in the wavelet domain
Our research is motivated by military applications related to aspects of contingency planning. Of recent interest is the identification of landmasses which can support the landing and takeoff of fixed wing and rotary ...
The use of data topology in unsupervised clustering of high-dimensional data with self -organizing maps
High-dimensional data is increasingly becoming common because of its rich information content that can provide comprehensive characterization of objects (patterns) in real world situations. Unsupervised clustering aims to ...