1.create_class_gmm — Create a Gaussian Mixture Model for classification 创建一个高斯混合模型分类器create_class_gmm( : : NumDim, NumClasses, NumCenters, CovarType, Preprocessing, NumComponents, RandSeed : GMMHandle)*NumDim 数据维数,如2D图像数据为2*NumClasses 分类器分类种数...
D. G. Calo, "Gaussian mixture model classification: A projection pur- suit approach," Comput. Statist. Data Anal., vol. 52, pp. 471-482, 2007.Daniela G. Calo. Gaussian mixture model classification: A projection pursuit approach. Computational Statistics & Data Analysis 52 (2007) 471 - ...
In this short communication we describe the results obtained from the application of the Gaussian mixture model, a popular unsupervised learning algorithm, to some modified data sets gained after the global optimizations of three different AgCu nanoalloy
The invention discloses a GMM (Gaussian mixture models) classification method on the basis of an online splitting and merging EM (expectation maximization) algorithm. The method is on the basis of the online splitting and merging EM algorithm and is an improvement on algorithms of Ueda and Dems...
de Melo, A.C.O., de Moraes, R.M., dos Santos Machado, L. (2003). Gaussian Mixture Models for Supervised Classification of Remote Sensing Multispectral Images. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture ...
This paper introduces and evaluates the use of Gaussian mixture models (GMMs) for multiple limb motion classification using continuous myoelectric signals. The focus of this work is to optimize the configuration of this classification scheme. To that end, a complete experimental evaluation of this sys...
GMM classification === Demonstration of Gaussian mixture models for classification. See :ref:`gmm` for more information on the estimator. Plots predicted labels on both training and held out test data using a variety of GMM classifiers on the iris dataset. Compares GMMs with spherical...
In this study, DCE-MRI data from a rat prostate tumor model were analysed with a Gaussian mixture model (GMM)-based classification to identify perfused, hypoxic and necrotic areas for a total of ten tumor slices from six rats, of which one slice was used as training data for GMM ...
Gaussian mixture models In Section 3.4 of this book, we discussed GMM as a fuzzy clustering tool. In the field of computer vision, GMM is widely applied as a means of soft classification, which is conceptually similar to fuzzy clustering. For example, when implementing the Bags of Visual Word...
Subspace Gaussian mixture models (SGMMs) provide a compact representation of the Gaussian parameters in an acoustic model, but may still suffer from over-f... M Forero,M Desco 被引量: 70发表: 2006年 Bayesian regression and classification using mixtures of Gaussian processes For a large data-set...