The complexity and physical distribution of modern active-safety automotive applications requires the use of distributed architectures. These architectures consist of multiple ele...
Abhijit Davare, Qi Zhu, Marco Di Natale, Claudio P...
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Discriminative tracking has become popular tracking methods due to their descriptive power for foreground/background separation. Among these methods, online random forest is recen...
Xinchu Shi, Xiaoqin Zhang, Yang Liu, Weiming Hu, H...
This article describes our participation at the Domain-Specific track. We used the Xtrieval framework [2], [3] for the preparation and execution of the experiments. The translatio...
In recent years, large databases of natural images have
become increasingly popular in the evaluation of face and
object recognition algorithms. However, Pinto et al. previously
...