Hidden Markov Model
Design of a real-time hidden markov model state decoding system
... - Hidden Markov Models are used in different kinds of sequence recognition ...Specially, Hidden Markov Models are suited for speech/speaker recognition ...using Hidden Markov ...
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A Gaussian Mixture Model Hidden Markov Model (GMM HMM) based fiber optic surveillance system for pipeline integrity threat detection
... Models-Hidden Markov Models (GMMs- HMMs) that operates in two modes: 1) The machine+activity identification mode classifies different activities occurring in different locations along the pipeline, and 2) ...
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BRAIN COMPUTER INTERFACE - Application of an Adaptive Bi-stage Classifier based on RBF-HMM
... A Hidden Markov Model is a double stochastic sta- tistical model, it consists of a Markov process with unknown and non-observable parameters, and a ob- served model which ...
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Automatic physical activity pattern recognition and meal intake modelling in type 1 diabetes for their inclusion in artificial pancreas systems
... Similarly, He et al. [2007] utilized an array of three accelerometers worn on chest and both thighs to discern among three stable postures –lie, sit or stand– plus five posture transitions. States were classified by means ...
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An absorbing Markov chain model for production systems with rework and scrapping
... The Markov model adequately describes the production system under uncertainties due to scrapping and reworking. The analysis shows clearly the interaction between design and control decisions, and it ...
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Model selection using information criteria for hidden Markov principal components analysis
... de Markov (HMPCA) fue introducido en [1, 2] con el objetivo de incorporar la dependencia entre observaciones en el análisis tradicional de componentes principales ...de Markov (HMM}) es posible establecer ...
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A Markov-switching model of inflation: looking at the future during uncertain times
... We model inflation strictly as a function of lagged inflation, indicating that only inflationary inertia (and not inflationary expectations) determines the level of the structural or underlying ...the model ...
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Vortex solutions of an Abelian Higgs model with visible and hidden sectors
... We show in figure 9 the energy density, (5.1) as a function of r for several values of the hidden vector field mass. The continuous solid line in the figure corresponds to the case of an ordinary superconductor ...
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Reconocimiento de contexto usando información auditivaContext recognition using auditory information
... The information given by the context can be used to develop applications to support older adults. For example, by providing assistance in their daily activities, by increasing their social interaction and by providing ...
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A Markov random field image segmentation model for lizard spots
... segmentation model for Diploglossus millepunctatus lizards based on MRF is ...The model shows promising performance to automatize segmentation processes in PMR and to reduce processing time and ...
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Uso de las cadenas de Markov para un modelo de negocios
... Abstract: Predicting the sales of a product from an industry is a significant mathematical problem for business, mainly in the production of aloe as raw material, the bosses, poor optimization processes and other factors ...
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PROBLEMAS RESUELTOS DE CADENAS DE MARKOV TEMA: CADENAS DE MARKOV
... Como el estado de la urna después del siguiente lanzamiento de la moneda depende solo del pasado del proceso hasta el estado de la urna después del lanzamiento actual, se trata de una cadena de Markov. Como las ...
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THE ROLE OF PRICING MARKERS IN DETECTING COLLUSION
... Cournot model the decision is made about quantities produced, since Bertrand competition is based on price ...Cournot model, under the same assumption of non-colluding firms, Bertrand equilibrium results in ...
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Costo efectividad de la citologa y la tamizacin con pruebas de ADN VPH para cncer de cuello uterino en Colombia
... Our analysis has several limitations. We combined data from various sources, different designs (cohort, clinical trials, population cancer registries, etc.), and different eligibility criteria for participating women. ...
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CADENAS DE MARKOV parte 2
... Daniel, director de Gestión Humana sabe que los cambios de personal pueden ser modelados matemáticamente como cadenas de Markov. Revisando los registros dela empresa pudo establecer la matriz de transición más ...
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Identification of plasmodium vivax proteins with potential role in invasion using sequence redundancy reduction and profile hidden markov models
... Constructing the protein sequences. Positive and negative sets of proteins were created based on a literature review and search in biological databases (Table 1). In the case of the positive data set, 8 subsets of ...
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Definition and composition of motor Primitives using latent force models and hidden markov models
... the model as DMPs where second order differential equations were used to model ...hybrid model which takes advantage of the flexibility associated to the weakly mechanistic approach jointly with the ...
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Prediction of Federal Funds Target Rate: a dynamic logistic Bayesian Model averaging approach
... the model assigns a high probability of occurrence to the event in which the FOMC decides to increase/decrease the target repo rate, and the final outcome is ...the model assigns a low probability of ...
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Pattern recognition glossary pdf
... Grouping similar objects in a multidimensional space. It is useful for constructing new features which are abstractions of the existing features. Some algorithms, like k-means, simply partition the feature space. Other ...
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EM Training of Hidden Markov Models for Shape Recognition Using Cyclic Strings
... Dynamic Time Warping (DTW) is being increasingly applied for shape match- ing [1]. A DTW-based dissimilarity measure is a natural option for optimally aligning contours, since it is able to align parts as well as points ...
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