Gaussian Mixture
Binomial Gaussian mixture filter
... a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for the state ...other Gaussian mixture ...
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Research on Initialization on EM Algorithm Based on Gaussian Mixture Model
... Assessment of this performance of an algorithm generally relates to its efficien- cy, ease of operation and operation results. We are concerned about the effi- ciency of the iteration, and one of the factors that affect ...
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Speech to Text Converter Using Gaussian Mixture Model(GMM)
... time wherein humans began to communicate with one other. Over the time it was realized that it is an effective medium of commutation. Later on, it acquired various forms and thus different languages came into existence. ...
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Bayesian Portfolio Selection in a Markov Switching Gaussian Mixture Model
... Furthermore, Gaussian mixture can mimic many complicated ...the mixture is similar to a positively skewed ...the mixture is close to a nor- mal distribution with occasional extreme ...the ...
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On Semi Supervised Learning of Gaussian Mixture Models for Phonetic Classification
... within Gaussian Mixture Models because GMM is the basic model inside a HMM, therefore 1) the up- date equations derived for the parameters of GMM can be conveniently extended to HMM for speech ...
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Enhanced Expectation–Maximization Clustering through Gaussian Mixture Models
... Abstract: Clustering is the most important task in data mining. For the intelligent clustering is also the part of the machine learning. Various existing systems are introduced for better clustering. In the past decade ...
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Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models
... Bayesian Learning of Gaussian Mixture Densities for Hidden Markov Models B a y e s i a n L e a r n i n g of G a u s s i a n M i x t u r e D e n s i t i e s for H i d d e n M a r k o v M o d e l s J e[.] ...
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Training Gaussian Mixture Models at Scale via Coresets
... that Gaussian mixture models (GMMs) admit small coresets: A weighted subset of the data which guarantees that models fitting the coreset will also provide a good fit for the original data ...
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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... The proposed system is a system to identify claimed speakers from several speech samples. Speaker recognition process is delicate to sound because it can strike the voice signal feature extraction activity. In this ...
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EMOTION DETECTION IN SPEECH USING GAUSSIAN MIXTURE MODEL
... by Gaussian mixture models ...Also Gaussian modeling is among the best methods to distinguish emotional classes by the following phonetic parameters: pitch, pitch range, average pitch, all measured ...
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Predicting Precipitation Events Using Gaussian Mixture Model
... Predicting precipitation events, as a part of weather prediction, is often done by numerical weather prediction. Numerical weather prediction predicts future weather conditions with the help of partial differential ...
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Fuzzy Weighted Gaussian Mixture Model for Feature Reduction
... Weighted Gaussian Mixture Model (FWGMM) based on the Gaussian Mixture ...– Gaussian Mixture Model (FW-GMM) for finding the component, which helps to discriminate the relevance of ...
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Adaptive Background Subtraction using Fuzzy based Gaussian Mixture Model
... on Gaussian Mixture Model (GMM) has been made and its drawback of uncertain and noisy data are studied and an approach is proposed for overcoming this ...
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Application of -means and Gaussian mixture model for classification of seismic activities in Istanbul
... namely Gaussian mixture model, k-means and two algo- rithms of discriminant functions including QDF, in order to distinguish microearthquakes from quarry blasts in the vicin- ity of ...
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AUTOMATIC IMAGE EQUALIZATION AND CONTRAST ENHANCEMENT USING GAUSSIAN MIXTURE MODELING
... the Gaussian mixture model to model the image gray-level distribution, and the intersection points of the Gaussian components in the model are used to partition the dy- namic range of the image into ...
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Automatic image equalization and contrast enhancement using Gaussian mixture modeling
... The Gaussian mixture model (GMM) can model any data distribution in terms of a linear mixture of different Gaussian distributions with different ...the Gaussian components has a ...
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Medical Image Segmentation of Cardiac Quiescent by using Gaussian Mixture Model
... The projected work intense only in finding the outflow of blood from the Mitral Valve (MV) and is generally called as Mitral Regurgitation (MR). Through the echocardiographic video, the outflow is traced and segmented. ...
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An Improved Moving Object Detection Algorithm Based on Gaussian Mixture Models
... on Gaussian mixture model basically set the fixed number of Gaussian distributions for each ...of Gaussian is not always enough to estimate the background model, and which is very difficult to ...
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Application of Mean-Square Approximation for Piecewise Linear Optimal Compander Design for Gaussian Source and Gaussian Mixture Model
... Abstract. This paper proposes a novel piecewise linear optimal compander design method based on the mean- square approximation of the first derivative of the optimal compressor function. Designing of the piecewise linear ...
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Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders
... (5) We choose our VAE to use a Gaussian mixture prior for the latent variable z. We further choose the number of mix- ture components to be equal to the number of classes k in the training data. The means ...
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