We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
— In this paper, we describe the real-time and precise self collision detection system that does not reduce the number of polygons and checks more than 100 collision pairs in rea...
This paper proposes a test planning method capable of reusing available processors as test sources and sinks, and the on-chip network as the access mechanism for the test of cores...
In this paper, we propose a new paradigm for local communication between devices in Ubiquitous Computing environments, assuming a multitude of computerized everyday appliances comm...
Abstract. In adversarial classification tasks like spam filtering, intrusion detection in computer networks and biometric authentication, a pattern recognition system must not only...