GMM

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GMMGood Mythical Morning
GMMGaussian Mixture Model
GMMGeneralized Method of Moments (economics)
GMMGeneral Membership Meeting
GMMGPRS Mobility Management
GMMGeneral Merchandise Manager (job title)
GMMGlobal Management and Manufacturing (degree; Denmark)
GMMGlobal Marijuana March
GMMGlobal Market Manager (various companies)
GMMGeneral Maintenance Manual
GMMGenetically Modified Microorganisms
GMMGimar Montaz Mautino (French ski equipment company)
GMMGeorge Mason Mortgage (Fairfax, VA)
GMMGive Me Money
GMMGiovanotti Mondani Meccanici (Italian multimedia artistic group)
GMMGood Mobile Messaging
GMMGenetically Modified Mosquito
GMMGlobal Money Market
GMMGeneral Maintenance Mechanic (various organizations)
GMMGraspop Metal Meeting (music festival, Belgium)
GMMGaribaldi-Meucci Museum (New York, NY)
GMMGrand Mesa Music (Grand Junction, CO)
GMMGlobal Multimedia Mobility
GMMGlobal Materials Management (various businesses)
GMMGlobal Movement Management
GMMGospel Music Ministries (Alaska)
GMMGram Molecular Mass (chemistry)
GMMGeometric Math Model
GMMGCDB Measurement Management
GMMGEC-Marconi Materials Technology
GMMGeneral Management Meeting
GMM(USN Rating) Gunner's Mate (Missiles)
GMMGross Money Multiple (finance)
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References in periodicals archive ?
The extracted features from training images were used to construct a Gaussian mixture model (GMM).
Abbreviations: GM, Gaussian Mixture model: LM, Location model: MLM, Modified Location model; EM, Expectation Maximization: p.d.f., probability density function.
Using all these frames together, i.e., n + k, we train a Gaussian Mixture Model on the keypoints features.
That is because the Gaussian mixture model is not adequately capable for classification in cases where the data are extremely approximate and there will be an extreme error rate.
In this experiment, we evaluate our method by cooperating with Gaussian mixture models (GMMs), which is a standard model for image representation, for image recognition.
In this work, we propose a supervised fusion where the classifiers (genuine or impostor) are trained using the match score densities and the parameters of the finite Gaussian mixture model that are used for modelling the genuine and impostor score densities of the training data.
To address the second issue, a clustering is performed using the nearest-neighbor clustering (NNC) method [16] to obtain the number of membership functions and a Gaussian mixture model (GMM) [17] is subsequently applied to determine the parameters associated with membership functions.
Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation.
There are other kinds of methods for fire segmentation from images; among them the Gaussian mixture model (GMM) for sample distribution is an efficient one.
Prior research on background subtraction (BGS) used several parametric BGS techniques, such as running average [2-4], running Gaussian average [5-7], approximate median filter [7, 8], and Gaussian Mixture Model [9-11].
Keywords: Wireless sensor networks, localization algorithms, non-localizable problem, Gaussian mixture model, collaborative and predictive schemes
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