We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
The growing nature of databases, and the flexibility inherent in the SQL query language that allows arbitrarily complex formulations, can result in queries that take inordinate am...
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...
A packet scheduler in a quality-of-service QoS network should be sophisticated enough to support stringent QoS constraints at high loads, but it must also have a simple implemen...
We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid registration of point sets. The registration is treated as a Maximum Likelihood (ML) estimation ...