This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
Confidence measures for the generalization error are crucial when small training samples are used to construct classifiers. A common approach is to estimate the generalization err...
Abstract. The enormous improvements in the efficiency of model-checking techniques in recent years facilitates their application to ever more complex systems of concurrent and dist...
Maurice H. ter Beek, Mieke Massink, Diego Latella,...
It is readily apparent how important the Internet is to modern life. The exponential growth in its use requires good tools for analyzing congestion. Much has been written recently...
Martin J. Fischer, Denise M. Bevilacqua Masi, Dona...
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...