Results 31 to 40 of about 511,753 (356)
A Novel Method for Decoding Any High-Order Hidden Markov Model
Discrete Dynamics in Nature and Society, 2014 This paper proposes a novel method for decoding any high-order hidden Markov model. First, the high-order hidden Markov model is transformed into an equivalent first-order hidden Markov model by Hadar’s transformation. Next, the optimal state sequence of
Fei Ye, Yifei Wang
doaj +1 more source
Using multiple visual tandem streams in audio-visual speech recognition [PDF]
, 2011 The method which is called the "tandem approach" in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a hidden Markov model.
Erdogan, Hakan +3 more
core +3 more sources
Online Learning in Discrete Hidden Markov Models [PDF]
, 2006 We present and analyse three online algorithms for learning in discrete Hidden Markov Models (HMMs) and compare them with the Baldi-Chauvin Algorithm. Using the Kullback-Leibler divergence as a measure of generalisation error we draw learning curves in ...
Alamino, Roberto C., Caticha, Nestor
core +2 more sources
Real-Time Assembly Support System with Hidden Markov Model and Hybrid Extensions
Mathematics, 2022 This paper presents a context-aware adaptive assembly assistance system meant to support factory workers by embedding predictive capabilities. The research is focused on the predictor which suggests the next assembly step.
Arpad Gellert +4 more
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fHMM: Hidden Markov Models for Financial Time Series in R
Journal of Statistical SoftwareHidden Markov models constitute a versatile class of statistical models for time series that are driven by hidden states. In financial applications, the hidden states can often be linked to market regimes such as bearish and bullish markets or ...
Lennart Oelschläger +2 more
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Recognition of Warping Face Image and Morphing Face Image of Two Warping Image Using Hidden Markov Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, using algorithm models of Hidden Markov models, it has been concluded that the possibility of recognizing the warp face and the morph face the image real departments face on recognizing object.
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Scanpath modeling and classification with hidden Markov models
Behavior Research Methods, 2017 How people look at visual information reveals fundamental information about them; their interests and their states of mind. Previous studies showed that scanpath, i.e., the sequence of eye movements made by an observer exploring a visual stimulus, can be
A. Coutrot, J. Hsiao, Antoni B. Chan
semanticscholar +1 more source
Hidden Markov models for stochastic thermodynamics
New Journal of Physics, 2015 The formalism of state estimation and hidden Markov models can simplify and clarify the discussion of stochastic thermodynamics in the presence of feedback and measurement errors.
John Bechhoefer
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Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Analysis of animal accelerometer data using hidden Markov models [PDF]
, 2016 Use of accelerometers is now widespread within animal biologging as they provide a means of measuring an animal's activity in a meaningful and quantitative way where direct observation is not possible.
Vianey Leos‐Barajas +6 more
semanticscholar +1 more source