Many diagrams contain compound objects composed of parts. We propose a recognition framework that learns parts in an unsupervised way, and requires training labels only for compou...
In this paper, redundant random ensembles are defined and their average stopping set (SS) weight distributions are analyzed. A redundant random ensemble consists of a set of binar...
One of the key aspects in 3D-image registration is the computation of the joint intensity histogram. We propose a new approach to compute this histogram using uniformly distribute...
Anton Bardera, Miquel Feixas, Imma Boada, Mateu Sb...
There has been considerable interest in random projections, an approximate algorithm for estimating distances between pairs of points in a high-dimensional vector space. Let A Rn...
We show that randomized beamforming is a simple yet efficient communication strategy in wireless multihop networks if no neighbor location information is at hand. Already small an...
Robert Vilzmann, Christian Bettstetter, Daniel Med...