—Detecting anomalies during the operation of a network is an important aspect of network management and security. Recent development of high-performance embedded processing syste...
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
In this paper, we develop a symbolic representation for timed concurrent constraint (tccp) programs, which can be used for defining a lightweight model–checking algorithm for re...
Abstract. Checking for language containment between nondeterministic ω-automata is a central task in automata-based hierarchical verification. We present a symbolic procedure for...