This paper proposes a learning scheme based still image super-resolution reconstruction algorithm. Superresolution reconstruction is proposed as a binary classification problem an...
In this paper we consider the capabilities of nearest neighbor as a criterion of data association to ensure correct decision in associating measurement to target. We continue the ...
We describe an algebra for composing automata in which the actions have probabilities. We illustrate by showing how to calculate the probability of reaching deadlock in k steps in...
Luisa de Francesco Albasini, Nicoletta Sabadini, R...
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...