In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
We present the findings of an in situ field study conducted using our assisted living system, I-Living, that aims to enable seniors to live in a costeffective manner independently....
Bedoor K. AlShebli, Eric Gilbert, Karrie Karahalio...
Systems that automatically process sign language rely on appropriate data. We therefore present the ATIS sign language corpus that is based on the domain of air travel information...
Jan Bungeroth, Daniel Stein, Philippe Dreuw, Herma...
This paper presents the results of the NEOLOGOS project: a children database and an optimized adult database for the French language. A new approach was adopted for the collection...
Dimensionality reduction is a much-studied task in machine learning in which high-dimensional data is mapped, possibly via a non-linear transformation, onto a low-dimensional mani...