Hidden Markov models for stochastic thermodynamics by John Bechhoefer

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Customer Behaviour Hidden Markov Model by Ales Jandera, Tomas Skovranek

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Hidden Markov Models in Speech Recognition by Jan Krajcovic, Martin Hrncar, Ludmila Muzikarova

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Global Stock Selection with Hidden Markov Model by Nguyet Nguyen, Dung Nguyen

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Hidden Markov models: Pitfalls and opportunities in ecology by Richard Glennie, Timo Adam, Vianey Leos‐Barajas, Théo Michelot, Theoni Photopoulou, Brett T. McClintock

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On Parsing Visual Sequences with the Hidden Markov Model by Harte Naomi, Lennon Daire, Kokaram Anil

“…<p/> <p>Hidden Markov Models have been employed in many vision applications to model and identify events of interest. …”
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Hidden Markov Model Based on Logistic Regression by Byeongheon Lee, Joowon Park, Yongku Kim

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Minimal Realization Problems for Hidden Markov Models by Ge, Rong, Kakade, Sham, Huang, Qingqing, Dahleh, Munther A

“…This paper addresses two fundamental problems in the context of hidden Markov models (HMMs). The first problem is concerned with the characterization and computation of a minimal order HMM that realizes the exact joint densities of an output process based on only finite strings of such densities (known as HMM partial realization problem). …”
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Permutation Complexity and Coupling Measures in Hidden Markov Models by Taichi Haruna, Kohei Nakajima

“…In this paper, we extend our previous results to hidden Markov models and show the equalities between various information theoretic complexity and coupling measures and their permutation analogues. …”
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Validating hidden Markov models for seabird behavioural inference by Rebecca A. Akeresola, Adam Butler, Esther L. Jones, Ruth King, Víctor Elvira, Julie Black, Gail Robertson

“…Different underlying states can be identified from telemetry data using hidden Markov models (HMMs). The inferred states are subsequently associated with different behaviours, using ecological knowledge of the species. …”
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Recognition of Musical ladders by Using Hidden Markov Model

“…The problem of recognition of musical ladders is studied by using Hidden Markov Model, Some national songs are studied and modeled through this model. …”
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ADAPTIVE LEARNING OF HIDDEN MARKOV MODELS FOR EMOTIONAL SPEECH by A. V. Tkachenia

“…An on-line unsupervised algorithm for estimating the hidden Markov models (HMM) parame-ters is presented. The problem of hidden Markov models adaptation to emotional speech is solved. …”
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A SLAM system based on Hidden Markov Models by Oscar Fuentes, Jesus Savage, Luis Contreras

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Supply Sequence Modelling Using Hidden Markov Models by Anna Borucka, Edward Kozłowski, Rafał Parczewski, Katarzyna Antosz, Leszek Gil, Daniel Pieniak

Subjects: “…hidden Markov models…”
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Recognition of Printed Text Based on Hidden Markov Model by Ghaydaa Al-Talib, Armanesa Hasson

“…Numerous approaches were tried in recognition of text but recognition of Arabic text based on Hidden Markov model seems to be the most promising one because of its ability to discriminate cursive scripts. …”
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MULTIPLE SEQUENCE ALIGNMENT MENGGUNAKAN HIDDEN MARKOV MODEL by , Afiahayati , Sri Mulyana

“…<br /> Salah satu metode yang saat ini banyak dikaji untuk menghasilkan Multiple Sequence Alignment adalah<br /> Hidden Markov Model. Hidden Markov Model cocok digunakan dalam Multiple Sequence Alignment karena<br /> Multiple Sequence Alignment dapat dipandang sebagai masalah pengenalan pola. …”

Hybrid GrabCut Hidden Markov Model for segmentation by Saeed, Soobia, Abdullah, Afnizanfaizal, Jhanjhi, N. Z., Naqvi, Mehmood, Masud, Mehedi, AlZain, Mohammed A.

“…This research proposed the new framework of the hybrid k-Nearest Neighbors (k-NN) model that is a combination of hybridization of Graph Cut and Support Vector Machine (GCSVM) and Hidden Markov Model of k-Mean Clustering Algorithm (HMMkC). …”
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Line spectrum extraction method based on hidden Markov model by Kai Ma, Guangcheng Luo, Jian Cheng, Yusheng Cheng, Haitao Li

“…Abstract To solve the difficult problem of line spectrum detection with a low signal‐to‐noise ratio, a line spectrum extraction algorithm based on a hidden Markov model (HMM) is proposed. The forward–backward algorithm was used to track single and multiple spectral lines in a lofargram, and a new algorithm for the state transition probability matrix was proposed to handle the large amount of HMM calculation and the uncertainty difficulty in processing real signals. …”
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Evaluation of vicinity-based hidden Markov models for genotype imputation by Su Wang, Miran Kim, Xiaoqian Jiang, Arif Ozgun Harmanci

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Activity-Integrated Hidden Markov Model to Predict Calving Time by Kosuke Sumi, Swe Zar Maw, Thi Thi Zin, Pyke Tin, Ikuo Kobayashi, Yoichiro Horii

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