This paper studies the input design problem for system identification where time domain constraints have to be considered. A finite Markov chain is used to model the input of the s...
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
In this paper, we propose a new tunable index scheme, called iMinMax, that maps points in high dimensional spaces to single dimension values determined by their maximum or minimu...
In utilizing the technique of stratification, the user needs to first partition/stratify the sample space; the next task is to determine how to allocate samples to strata. How to ...
A unified framework is applied to solving various sequence comparison problems for run-length encoded strings. All of these algorithms take O(min{mn , m n}) time and O(max{m, n}) s...