Linearity tests are randomized algorithms which have oracle access to the truth table of some function f, and are supposed to distinguish between linear functions and functions whi...
We present a framework for clustering distributed data in unsupervised and semi-supervised scenarios, taking into account privacy requirements and communication costs. Rather than...
Mutual information (MI) is a popular similarity metric
for multimodality image registration purpose. However,
it is negatively influenced by artifacts due to interpolation
effec...
We define logical relations between the denotational semantics of a simply typed functional language with recursion and the operational behaviour of low-level programs in a varian...
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....