Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
We propose a novel statistical approach to detect defects in digitized archive film by using temporal information across a number of frames modeled with an HMM. The HMM is traine...
Requirements analysis for an Intrusion Detection System (IDS) involves deriving requirements for the IDS from analysis of the intrusion domain. When the IDS is, as here, a collecti...
Guy G. Helmer, Johnny S. Wong, Mark Slagell, Vasan...
Since it is desirable for an intrusion detection system to be operated with the real time performance, it is not unusual for an intrusion detection engine to perform a "lazy ...
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...