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This paper deals with the number of paths in multiterminal binary decision diagrams (MTBDDs) and shared binary decision diagrams (SBDDs) representing a set of Boolean functions. It is shown that the number of paths in an MTBDD (SBDD) can be uniquely determined by values of specific weighted-autocorrelation coefficients. An analytical expression for the number of paths as a linear function of the values...
In this paper we give the first construction of a pseudorandom generator, with seed length O(log n), for CC0[p], the class of constant-depth circuits with unbounded fan-in MODp gates, for some prime p. More accurately, the seed length of our generator is O(log n) for any constant error ϵ > 0. In fact, we obtain our generator by fooling distributions generated by low degree polynomials, over Fp,...
Copula function is a function that links joint distribution function of random vectors and its corresponding components marginal distribution function. It is an important tool to describe the structure relationship between many financial markets. With using the Copula function to construct the joint distribution function, it will not be limited by the marginal distribution function, instead, the marginal...
This paper presents a method to improve the performance of Information Retrieval System (IRS) by increasing the no of relevant documents retrieved. There are several types of uncertainty and fuzziness associated with IRS like search term uncertainty, relevance uncertainty involved in retrieving of irrelevant documents. The aim of this paper is to eliminate different types of uncertainty and increase...
A new formulation facilitating the determination of the autocorrelation lags, and consequently the autocorrelation matrix, of an autoregressive moving average signal of arbitrary order (ARMA(p, q)) is presented. The main features of our formulation, stated as a set of linear equations to be solved, are 1) its conceptual simplicity 2) its reliance only on primary parameters of the ARMA(p, q) model,...
Based on a parametric planar rotation updated algorithm and the deflation technique, a blind signal extraction method is proposed in underdetermined mixtures. While extracting one, source signal from the mixtures and keeping size of the mixtures, a separated signal is concealed from the mixtures using the deflation technique. This procedure is repeated for the deflated mixtures until all source signals...
Describes a method for learning classes of facial motion patterns from a video of a human interacting with a computerized embodied agent. The method also learns correlations between the discovered motion classes and the current interaction context. Our work is motivated by two hypotheses. First, a computer user's facial displays are context-dependent, especially in the presence of an embodied agent...
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