Mobility and channel modeling is a very crucial task for the simulation of Vehicular Ad Hoc Network (VANET) scenarios. In this paper we present a new mobility modeling approach fo...
In this work we present Cutting Plane Inference (CPI), a Maximum A Posteriori (MAP) inference method for Statistical Relational Learning. Framed in terms of Markov Logic and inspi...
This paper proposes a person identification system (PID), which works with non-illumination low-resolution eye images. Radial-Scan and threshold methods are used for Iris normaliz...
We introduce the Bloomier filter, a data structure for compactly encoding a function with static support in order to support approximate evaluation queries. Our construction gener...
Bernard Chazelle, Joe Kilian, Ronitt Rubinfeld, Ay...
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...