Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Fusing the scores of several biometric systems is a very promising approach to improve the overall system's accuracy. Despite many works in the literature, it is surprising t...
In the mid-nineties, mobile code was on the rise and, in particular, there was a growing interest in autonomously moving code components, called mobile agents. In 1997, we publish...
Antonio Carzaniga, Gian Pietro Picco, Giovanni Vig...
The challenges for developing an ESD (Electro-static Discharge) layout extractor originate from unconventional layout patterns of ESD protection devices, parasitic ESD device extr...