PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities

Alert correlation and prediction using data mining and HMM

Intrusion Detection Systems (IDSs) are security tools widely used in computer networks. While they seem to be promising technologies, they pose some serious drawbacks: When utilized in large and high traffic networks, IDSs generate high volumes of low-level alerts which are hardly manageable. Accordingly, there emerged a recent track of security research, focused on alert correlation, which ext...

Clause detection using HMM

Introducing Termination Probabilities to HMM

HMM is very well suited to model sequential patterns. This paper introduces a new parameter, the termination probability, to HMM. The new parameter provides a better initialization for the backward variable during the training and evaluation phases. This improves the discriminatory power of HMM by allowing the system to judge the input observation sequence based on where it is completed. Experi...

3D Hand Motion Evaluation Using HMM

Gesture and motion recognition are needed for a variety of applications. The use of human hand motions as a natural interface tool has motivated researchers to conduct research in the modeling, analysis and recognition of various hand movements. In particular, human-computer intelligent interaction has been a focus of research in vision-based gesture recognition. In this work, we introduce a 3-...

cn.mops - Mixture of Poissons for CNV detection in NGS data