Inferring Adaptive Introgression Using Hidden Markov Models

Video-Based Face Recognition Using Adaptive Hidden Markov Models

While traditional face recognition is typically based on still images, face recognition from video sequences has become popular recently. In this paper, we propose to use adaptive Hidden Markov Models (HMM) to perform videobased face recognition. During the training process, the statistics of training video sequences of each subject, and the temporal dynamics, are learned by an HMM. During the ...

Cluster adaptive training of hidden Markov models

Adaptive Estimation Techniques for Hidden Markov Models

Basecalling using hidden Markov models

In this paper we propose hidden Markov models to model electropherograms from DNA sequencing equipment and perform basecalling. We model the state emission densities using artificial neural networks, and modify the Baum–Welch reestimation procedure to perform training. Moreover, we develop a method that exploits consensus sequences to label training data, thus minimizing the need for hand label...

Hidden Markov Model for Inferring Learner Task Using Mouse Movement

One of the issues of e-learning web based application is to understand how the learner interacts with an e-learning application to perform a given task. This study proposes a methodology to analyze learner mouse movement in order to infer the task performed. To do this, a Hidden Markov Model is used for modeling the interaction of the learner with an elearning application. The obtained results ...