—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
m, modules, types and operations), different kinds of abstractions (functional/data, types/objects etc.) without falling into a loose collection of diagram languages. Considering a...
Hegselmann and Krause have developed a simple yet powerful computational model for studying the opinion dynamics in societies of epistemically interacting truth-seeking agents. We...
i In this paper, we identify the unique challenges in deploying parallelism on TCAM-based pattern matching for Network Intrusion Detection Systems (NIDSes). We resolve two critica...
Kai Zheng, Xin Zhang, Zhiping Cai, Zhijun Wang, Ba...
Abstract. We describe a probabilistic model, implemented as a dynamic Bayesian network, that can be used to predict nucleosome positioning along a chromosome based on one or more g...
Sheila M. Reynolds, Zhiping Weng, Jeff A. Bilmes, ...