The mismatch between training and test environmental conditions presents a challenge to speech recognition systems. In this paper, we investigate an approach for matching the dist...
Active learning aims to reduce the amount of labels required for classification. The main difficulty is to find a good trade-off between exploration and exploitation of the lab...
Advances in data acquisition and sensor technologies are leading towards the development of “High Fan-in” architectures: widely distributed systems whose edges consist of nume...
Owen Cooper, Anil Edakkunni, Michael J. Franklin, ...
Interactive visualization of massive models still remains a challenging problem. This is mainly due to a combination of ever increasing model complexity with the current hardware ...
For a general purpose face recognition system one of the largest challenge is to separate useful identity related from useless variations in the image data due to nuisance variabl...