One of the major challenges in computer vision is to create automated systems that perform tasks with at least the same competences as human experts. In particular for automated i...
Nicole J. J. P. Koenderink, Jan L. Top, Lucas J. v...
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
In this paper we aim to model the relationship between the text of a political blog post and the comment volume--that is, the total amount of response--that a post will receive. W...
Abstract. In this work we describe experimental results regarding an optoelectronic implementation of a dynamic neuron model. The model is a variation of the FitzHugh-Nagumo equati...
: Medical image segmentation often involves variants of deformable models to account for both the variability of object shapes and variation in image quality. Segmentation quality,...