Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
We introduce a new type of arrow in the update frames (or “action models”) of Dynamic Epistemic Logic in a way that enables us to reason about epistemic temporal dynamics in m...
Abstract. Modern information systems require temporal and privilegeconsuming usage of digital objects. To meet these requirements, we present a new access control model–Times-bas...
Baoxian Zhao, Ravi S. Sandhu, Xinwen Zhang, Xiaoli...
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...