As organizations accumulate data over time, the problem of tracking how patterns evolve becomes important. In this paper, we present an algorithm to track the evolution of cluster...
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
: An inverse iterative algorithm for microwave imaging based on moment method solution is presented here. The iterative scheme has been developed on constrained optimization techni...
This paper analyses different protocols of session guarantees. Session guarantees (also known as client-centric consistency models) are one of the class of consistency models of r...
Anna Kobusinska, Cezary Sobaniec, Marek Libuda, Da...
Moving objects are currently represented in databases by means of an explicit representation of their trajectory. However from a physical point of view, or more specifically accor...