If a state space is not completely known in advance, then search algorithms have to explore it sufficiently to locate a goal state and a path leading to it, performing therefore w...
Yury V. Smirnov, Sven Koenig, Manuela M. Veloso, R...
The growing success of wireless ad hoc networks and portable hardware devices presents many interesting problems to software engineers. Particular, coordination is a challenging t...
Marco Tulio de Oliveira Valente, Fernando Magno Qu...
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
The recently developed i-vector framework for speaker recognition has set a new performance standard in the research field. An i-vector is a compact representation of a speaker u...