Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
This paper describes a new model for constructing distributed systems called the Remote Memory Model. The remote memory model consists of several client machines, one or more dedi...
Background: Structural and functional research often requires the computation of sets of protein structures based on certain properties of the proteins, such as sequence features,...
We present a novel, efficient, initializationfree approach to the problem of epipolar geometry estimation, by formulating it as one of hyperplane inference from a sparse and noisy...
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...