Abstract: This paper advocates Riemannian multi-manifold modeling for network-wide time-series analysis: Dynamic brainnetwork data yield features which are viewed as points in or close to a union of a ...
Abstract: This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial ...