Metrics and Similarity Measures for Hidden Markov Models

Trajectory Distance Metric Using Hidden Markov Model based Representation

In this paper, we introduce a set of novel distance metrics that use model based representations for trajectories. We determine the similarity of trajectories using the conformity of the corresponding HMM models. These metrics enable the comparison of trajectories without any limitations of the conventional measures. They accurately identify the coordinate, orientation, and speed affinity. The ...

Automated Tumor Segmentation Based on Hidden Markov Classifier using Singular Value Decomposition Feature Extraction in Brain MR images

ntroduction: Diagnosing brain tumor is not always easy for doctors, and existence of an assistant that                                                      facilitates the interpretation process is an asset in the clinic. Computer vision techniques are devised to aid the clinic in detecting tumors based on a database of tumor c...

Introducing Busy Customer Portfolio Using Hidden Markov Model

Due to the effective role of Markov models in customer relationship management (CRM), there is a lack of comprehensive literature review which contains all related literatures. In this paper the focus is on academic databases to find all the articles that had been published in 2011 and earlier. One hundred articles were identified and reviewed to find direct relevance for applying Markov models...

The JHU/APL HAIRCUT System at TREC-8

The Johns Hopkins University Applied Physics Laboratory (JHU/APL) is a second-time entrant in the TREC Category A evaluation. The focus of our information retrieval research this year has been on the relative value of and interaction among multiple term types and multiple similarity metrics. In particular, we are interested in examining words and n-grams as indexing terms, and vector models and...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words