Gaussian mixture models as automated particle classifiers for fast neutron detectors
نویسندگان
چکیده
منابع مشابه
Gaussian Mixture Model Classifiers
1.1 Classification Model Before presenting in more details the Gaussian Mixture Model (GMM) classification process, it is worthwhile to consider what “classification” actually means. According to [3], a “classification model” is made of three main parts : • a transducer : in the case of music this would typically be the A/D conversion chain of the sound. • a feature extractor : it extracts sign...
متن کاملDiscriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-Welch algorithm used in speech recognition. We also compare the accuracy and degree of sparsity of the new discriminative GMM classifier with those of generative GMM classifiers, and of kernel classifiers, such as suppo...
متن کاملDetectors for Energy-Resolved Fast Neutron Imaging
Two detectors for energy-resolved fast-neutron imaging in pulsed broad-energy neutron beams are presented. The first one is a neutron-counting detector based on a solid neutron converter coupled to a gaseous electron multiplier (GEM). The second is an integrating imaging technique, based on a scintillator for neutron conversion and an optical imaging system with fast framing capability.
متن کاملFuzzy Gaussian Mixture Models
In this paper, in order to improve both the performance and the efficiency of the conventional Gaussian Mixture Models (GMMs), generalized GMMs are firstly introduced by integrating the conventional GMMs and the active curve axis GMMs for fitting non-linear datasets, and then two types of Fuzzy Gaussian Mixture Models (FGMMs) with a faster convergence process are proposed based on the generaliz...
متن کاملParsimonious Gaussian mixture models
Parsimonious Gaussian mixture models are developed using a latent Gaussian model which is closely related to the factor analysis model. These models provide a unified modeling framework which includes the mixtures of probabilistic principal component analyzers and mixtures of factor of analyzers models as special cases. In particular, a class of eight parsimonious Gaussian mixture models which ...
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: Statistical Analysis and Data Mining: The ASA Data Science Journal
سال: 2019
ISSN: 1932-1864,1932-1872
DOI: 10.1002/sam.11432