We present a hierarchical principle for object recognition and its application to automatically classify developmental stages of C. elegans animals from a population of mixed stag...
Nearly all present-day commercial intrusion detection systems are based on a hierarchical architecture. Nodes at the bottom of the hierarchy collect information, which is passed t...
Emerging non-standard applications like the production of high-quality spatial sound pose new challenges to data management. Beside the need for a flexible transactional managemen...
Algorithms have cometo be recognizedasthe cornerstone of computing. Surprisingly, there has been little research or discussion of general techniques for designing algorithms. Thou...
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...