The construction of good, finite-length, LDPC codes is currently an attractive research area. Reducing attention to the Binary Erasure Channel (BEC), this problem translates into t...
Dejan Vukobratovic, Aleksandar Djurendic, Vojin Se...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
In this paper, we present an improvement to the minimum error boundary cut, a method of shaping texture patches for nonparametric texture synthesis from example algorithms such as...
Recently the problem of automatic composition of workflows has been receiving increasing interest. Initial investigation has shown that designing a practical and scalable composit...
The M-tree is a paged, dynamically balanced metric access method that responds gracefully to the insertion of new objects. Like many spatial access methods, the M-tree's perfo...