—Eigenvalue analysis is an important aspect in many data modeling methods. Unfortunately, the eigenvalues of the sample covariance matrix (sample eigenvalues) are biased estimate...
Anne Hendrikse, Luuk J. Spreeuwers, Raymond N. J. ...
Density biased sampling (DBS) has been proposed to address the limitations of Uniform sampling, by producing the desired probability distribution in the sample. The ease of produc...
We design polynomial time approximation schemes (PTASs) for Metric BISECTION, i.e. dividing a given finite metric space into two halves so as to minimize or maximize the sum of di...
Wenceslas Fernandez de la Vega, Marek Karpinski, C...
al modelling studies the different abstraction methods of the real world. The conception and the execution of virtual worlds depend strongly of the type of conceptual models. Exis...
— This paper proposes a new noncoherent detection system improved based on the differential chaos shift keying (DCSK) and the correlation delay shift keying (CDSK). In this schem...