Results 91 to 100 of about 62,966 (184)
Hybrid Parallel Model of Semi-Blind Joint Timing-Offset and Channel Estimation for AF-TWRNs
IEEE AccessTiming offset and channel estimation plays an important role in the performance of amplify-and-forward two-way relay networks. The state-of-the art approach models the system as a Hidden Markov Model (HMM) and performs semi-blind estimation using ...
Ali A. El-Moursy +5 more
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A Hidden Semi-Markov Model based approach for rehabilitation exercise assessment
Journal of Biomedical Informatics, 2018 In this paper, a Hidden Semi-Markov Model (HSMM) based approach is proposed to evaluate and monitor body motion during a rehabilitation training program. The approach extracts clinically relevant motion features from skeleton joint trajectories, acquired by the RGB-D camera, and provides a score for the subject's performance.
Capecci, Marianna +8 more
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Domain adaptation for sequence labeling using hidden Markov models [PDF]
, 2013 Most natural language processing systems based on machine learning are not robust to domain shift. For example, a state-of-the-art syntactic dependency parser trained on Wall Street Journal sentences has an absolute drop in performance of more than ten ...
Bach, Francis +2 more
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Automatic Harmonization Using a Hidden Semi-Markov Model
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013 Hidden Markov Models have been used frequently in the audio domain to identify underlying musical structure. Much less work has been done in the purely symbolic realm. Recently, a substantial amount of expert-labelled symbolic musical data has been injected into the research community.
openaire +1 more source
The Hierarchical Dirichlet Process Hidden Semi-Markov Model
, 2010 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many settings the HDP-HMM's strict Markovian constraints are undesirable, particularly if we wish to learn or encode non-geometric state durations.
Johnson, Matthew James, Willsky, Alan S
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Deep Hidden Semi-Markov Model-Based Speech Synthesis
IEEE AccessThis paper proposes a speech synthesis technique based on a neural sequence-to-sequence (Seq2Seq) model that incorporates the structure of hidden semi-Markov models (HSMMs).
Yoshihiko Nankaku +6 more
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A Novel Method for ECG-Free Heart Sound Segmentation in Patients with Severe Aortic Valve Disease
SensorsSevere aortic valve diseases (AVD) cause changes in heart sounds, making phonocardiogram (PCG) analyses challenging. This study presents a novel method for segmenting heart sounds without relying on an electrocardiogram (ECG), specifically targeting ...
Elza Abdessater +7 more
doaj +1 more source
Nonhomogeneous hidden semi-Markov models for toroidal data
Journal of the Royal Statistical Society Series C: Applied StatisticsAbstract A nonhomogeneous hidden semi-Markov model is proposed to segment bivariate time series of wind and wave directions according to a finite number of latent regimes and, simultaneously, estimate the influence of time-varying covariates on the process’ survival under each regime.
Francesco Lagona, Marco Mingione
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IEEE AccessA method for detecting small leaks in gas pipelines based on semi-supervised learning is proposed. The proposed method models the time-varying behavior of signals collected from a flexible acoustic emission (AE) sensor that is attached to a gas pipe to ...
Byungjae Park +3 more
doaj +1 more source