MLF is a type system that seamlessly merges ML-style type inference with System-F polymorphism. We propose a system of graphic (type) constraints that can be used to perform type ...
In this work we consider the problem of universal prediction of individual sequences where the universal predictor is a deterministic finite state machine, with a fixed, relativel...
This paper addresses the problem of bit allocation among frames in a predictively encoded video sequence. Finding optimal solutions to this problem potentially requires making an ...
Yegnaswamy Sermadevi, Jun Chen, Sheila S. Hemami, ...
Abstract. Neuroimaging at the group level requires spatial normalization of individual structural data. We propose a geometric approach that consists in matching a series of cortic...
Guillaume Auzias, Joan Glaunes, Olivier Colliot, M...
1 - This paper presents an efficient design exploration environment for high-end core processors. The heart of the proposed design exploration framework is a two-level simulation e...