Statistical Representation of Distribution System Loads Using Gaussian Mixture Model
نویسندگان
چکیده
منابع مشابه
Image Segmentation using Gaussian Mixture Model
Abstract: Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we used Gaussian mixture model to the pixels of an image. The parameters of the model were estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image was made by Bayes rule. In fact,...
متن کاملIMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL
Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the model have estimated by EM-algorithm. In addition pixel labeling corresponded to each pixel of true image is made by Bayes rule. In fact, ...
متن کاملSpeaker Recognition System using Gaussian Mixture Model
In this paper,features for text-independent speaker recognition has been evaluated. Speaker identification from a set of templates and analyzing speaker recognition rate by extracting several key features like Mel Frequency Cepstral Coefficients [MFCC] from the speech signals of those persons by using the process of feature extraction using MATLAB2013 .These features are effectively captured us...
متن کاملCharacterization of Congestion Based on Speed Distribution: Statistical Approach Using Gaussian Mixture Model
Traffic congestion has been one of major problems in modern cities and thus numerous measures have been taken to mitigate it. An appropriate selection of congestion mitigation strategies comes from the sound understanding of the congestion characteristics. Many researchers, thus, have tried to identify the effective ways for measuring level of congestion or roadway performance. As a result of t...
متن کاملA Gaussian Mixture Model Based Speech Recognition System Using Matlab
This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB®. The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a paramet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Power Systems
سال: 2010
ISSN: 0885-8950,1558-0679
DOI: 10.1109/tpwrs.2009.2030271