We present a new method for blind document bleed through removal based on separate Markov Random Field (MRF) regularization for the recto and for the verso side, where separate pri...
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
The increasing clock frequencies in high-end industrial circuits bring new routing challenges that can not be handled by traditional algorithms. An important design automation pro...
Reinforcement Learning is a commonly used technique in robotics, however, traditional algorithms are unable to handle large amounts of data coming from the robot’s sensors, requi...
- In the paper, we propose an efficient two-factor localized authentication scheme suitable for WLAN roaming. The proposed authentication scheme can greatly improve the security co...