Time-driven Key Sequencing (TKS) is a key management technique that synchronizes the session key used by a set of communicating principals based on time of day. This relatively lo...
Geoffrey G. Xie, Cynthia E. Irvine, Timothy E. Lev...
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
This paper describes a fast and robust image registration method that can be used to create a panoramic image/video from video sequences. To estimate alignment parameters for imag...
This paper is concerned with the problem of dynamically reconstructing the 3D surface of an object undergoing non-rigid motion. The problem is cast as reconstructing a continuous ...