This paper shows a method to reduce the number of input variables to represent incompletely specified index generation functions. A compound variable is generated by EXORing the o...
We apply a multi-target recursive Bayes filter, the Probability Hypothesis Density (PHD) filter, to a visual tracking problem: tracking a variable number of human groups in video....
Ya-Dong Wang, Jian-Kang Wu, Ashraf A. Kassim, Weim...
In this work we consider the problem of approximating the number of relevant variables in a function given query access to the function. Since obtaining a multiplicative factor ap...
We establish the asymptotic normality of the number of upper records in a sequence of iid geometric random variables. Large deviations and local limit theorems as well as approxim...
— In an incompletely specified function f, don’t care values can be chosen to minimize the number of variables to represent f. It is shown that, in incompletely specified fun...