This paper describes a new approach to pitch marking. Unlike other approaches that use the same combination of features for the whole signal, we take into account the signal prope...
There is a growing interest in building probabilistic models with high order potentials (HOPs), or interactions, among discrete variables. Message passing inference in such models...
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA)...
Author identification models fall into two major categories according to the way they handle the training texts: profile-based models produce one representation per author while in...
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...