In this paper we present a new scheme for detection and tracking of specific objects in a knowledge-based framework. The scheme uses a supervised learning method: Support Vector M...
Lionel Carminati, Jenny Benois-Pineau, Christian J...
In a sequential Bayesian ranking and selection problem with independent normal populations and common known variance, we study a previously introduced measurement policy which we ...
Existing static timing analyzers make several assumptions about circuits, implicitly trading off accuracy for speed. In this paper we examine the validity of these assumptions, no...
Although k-means clustering is often applied to time series clustering, the underlying Euclidean distance measure is very restrictive in comparison to the human perception of time ...
We survey logic-based and automata-based languages and techniques for the speci cation and veri cation of real-time systems. In particular, we discuss three syntactic extensions of...