Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
— The success of sampling-based motion planners has resulted in a plethora of methods for improving planning components, such as sampling and connection strategies, local planner...
Abstract—Modified periodogram approaches are nonparametric power spectral density (PSD) estimators. Here, we present a method for estimating the mean-square error (MSE) of these...
Soosan Beheshti, M. Ravan, J. P. Reilly, L. J. Tra...
—Due to increase in demand for reconfigurability in embedded systems, real-time task scheduling is challenged by non-negligible reconfiguration overheads. If such overheads are n...
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...