This paper deals with the problem of making predictions in the online mode of learning where the dependence of the outcome yt on the signal xt can change with time. The Aggregating...
We present a general biometric hash generation scheme based on vector quantization of multiple feature subsets selected with genetic optimization. The quantization of subsets overc...
We try to link elastic matching with a statistical discrimination framework to overcome the overfitting problem which often degrades the performance of elastic matchingbased onli...
This paper considers the on-line traffic grooming problem in WDM-TDM switched optical mesh networks without wavelength conversion capability. The objective is to efficiently rou...
The exploration of large information spaces is a difficult task, especially if the user is not familiar with the terminology used to describe information. Conceptual models of a do...
Heiner Stuckenschmidt, Anita de Waard, Ravinder Bh...