In this paper we propose a novel statistical language model to capture long-range semantic dependencies. Specifically, we apply the concept of semantic composition to the problem ...
This article deals with 3D-face model and 3D-pose extraction from a small set of couples of 2D-3D correspondingpoints. Major drawbacks of current 3D model extraction solutions are...
Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
Proposed by Maurer the bounded storage model has received much academic attention in the recent years. Perhaps the main reason for this attention is that the model facilitates a un...
— This paper addresses the exact transformation of nonlinear systems into a multiple model form with unmeasurable premise variables. The multiple model structure serves to treat ...