Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Abstract. Description Logics are a family of class based knowledge representation formalisms characterised by the use of various constructors to build complex classes from simpler ...
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
In this paper, we propose a technique for detecting possible events in outdoor areas monitored by a video surveillance system. In particular, here we focus on the time spent by an...
Christian Micheloni, Lauro Snidaro, Claudio Piciar...