In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed re...
Javier Mateos, Rafael Molina, Aggelos K. Katsaggel...
This paper addresses the problem of determining suitable mask values and sizes for the discrete implementation of the Laplacian of Gaussian edge operator. This is achieved by prov...
Clustering with constraints is a developing area of machine learning. Various papers have used constraints to enforce particular clusterings, seed clustering algorithms and even l...
We present a software system for evaluating ‘dynamic’ protocol specifications for open multi-agent systems, that is, specifications that are developed at design-time but may...
We evaluate the practical performance of labeling schemes for lowest common ancestors in trees. We develop different variants for encoding the labels. We then perform a thorough e...