Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
In this paper we present a continuous surface model to describe the interconnect geometric variation, which improves the currently used model for better accuracy while not increas...
In this paper we investigate the channel capacity of intensity modulated direct detection (IM/DD) wireless optical communication systems for an AWGN channel with a limit on the ave...
— We present a fast GPU-based algorithm to approximate the Swept Volume (SV) boundary of arbitrary polygon soup models. Despite the extensive research on calculating the volume s...
Jesse C. Himmelstein, Etienne Ferre, Jean-Paul Lau...
Search algorithms incorporating some form of topic model have a long history in information retrieval. For example, cluster-based retrieval has been studied since the 60s and has ...