Vector quantization is an e!ective means of data compression which maps an ordered set of real numbers into a single integer. However, the unconstrained use of vector quantizer (VQ) for accurately compressing a high-dimension signal vector requires high computational complexity and large storage requirement. In order to avoid this problem, structures with some constraints are often used to invo...

There is at present a doubly discrete classification for strange attractors of low dimension, d(L)<3. A branched manifold describes the stretching and squeezing processes that generate the strange attractor, and a basis set of orbits describes the complete set of unstable periodic orbits in the attractor. To this we add a third discrete classification level. Strange attractors are organized by ...

The shift from an information society to a knowledge society require rapid information harvesting, reliable search and instantaneous on demand delivery. Information extraction agents are used to explore and collect data available from Web, in order to effectively exploit such data for business purposes, such as automatic news filtering, advertisement or product searching and price comparing. In...