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MULTIPLE REFLECTION EFFECTS IN NONLINEAR MIXTURE MODEL FOR HYPERSPECTRAL IMAGE ANALYSIS
Hyperspectral images Linear mixture model (LMM) Generalized bilinear model (GBM) Modified generalized bilinear model (MGBM)
2016/11/23
Hyperspectral spectrometers can record electromagnetic energy with hundreds or thousands of spectral channels. With such high spectral resolution, the spectral information has better capability for ma...
Gaussian Mixture Model of Texture for Extracting Residential Area from High-resolution Remotely Sensed Imagery
Extraction of Residential Area Gaussian Mixture Model Texture High-Resolution Remotely Sensed Imagery
2015/10/12
Using high-resolution remotely sensed imagery to timely detect distribution and expansion of residential area is one of most
important jobs of national 1:5 spatial database updating. In view of comp...
Learning Lexicons From Speech Using a Pronunciation Mixture Model
pronunciation learning stochastic lexicon
2015/3/9
Learning Lexicons From Speech Using a Pronunciation Mixture Model.
Gaussian Mixture Model Weight Supervector Decomposition and Adaptation,
Supervector Decomposition and Adaptation
2015/3/9
This report proposes a novel approach for Gaussian Mixture Model (GMM) weights decomposition
and adaptation. This modeling suggests a new low-dimensional utterance representation method, which
uses ...
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation Gaussian mixture model weight dialect recognition language recognition
2014/11/27
Non-Negative Factor Analysis for Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition.
Learning Lexicons from Speech using a Pronunciation Mixture Model
Baseform generation dictionary training with acoustics via EM pronunciation learning stochastic lexicon
2014/11/27
Learning Lexicons from Speech using a Pronunciation Mixture Model.
Capacity survey of Nagarjuna Sagar reservoir, India using Linear Mixture Model (LMM) approach
Reservoir water-spread area capacity estimation sub-pixel approach.
2014/11/19
Satellite data has long been in use to estimate the water-spread area at different water levels of
a reservoir. Traditional approaches such as maximum likelihood classification and band
threshold ...
Non-Negative Factor Analysis of Gaussian Mixture Model Weight Adaptation for Language and Dialect Recognition
Non-negative factor analysis model adaptation
2015/3/9
—Recent studies show that Gaussian mixture model
(GMM) weights carry less, yet complimentary, information to
GMM means for language and dialect recognition. However,
state-of-the-art language recog...
A non-parametric mixture model for topic modeling over time
non-parametric mixture model topic modeling over time
2012/9/17
A single, stationary topic model such as la-tent Dirichlet allocation is inappropriate for modeling corpora that span long time peri-ods, as the popularity of topics is likely to change over time. A n...
OPTICAL-TO-SAR IMAGE REGISTRATION BASED ON GAUSSIAN MIXTURE MODEL
Remote Sensing Image Registration SAR Optical Gaussian Mixture Model EM Algorithm Line Support Region
2014/4/25
Image registration is a fundamental in remote sensing applications such as inter-calibration and image fusion. Compared to other multi sensor image registration problems such as optical-to-IR, the reg...
Application of a Novel Method for Machine Performance Degradation Assessment Based on Gaussian Mixture Model and Logistic Regression
performance degradation assessment Gaussian mixture model logistic regression
2011/8/4
The currently prevalent machine performance degradation assessment techniques involve estimating a machine's current condition based upon the recognition of indications of failure features, which enta...
A nested mixture model for protein identification using mass spectrometry
A nested mixture model mass spectrometry
2010/11/17
Mass spectrometry provides a high-throughput way to identify proteins in biological samples. In a typical experiment, proteins in a sample are first broken into their constituent peptides. The result...
About the Justification of Experience Rating: Bonus Malus System and a new Poisson Mixture Model
Risk Management Pricing Portfolio Management Bonus Malus System
2010/10/21
The claim experience of the past is a very important information to calculate the fair price of an insurance contract. In a lot of European countries for instance the prices for motor car insurance d...
Splitting and Merging Components of a Nonconjugate Dirichlet Process Mixture Model
Bayesian model Markov chain Monte Carlo split-merge moves nonconjugate prior
2009/9/22
The inferential problem of associating data to mixture components is dif-
ficult when components are nearby or overlapping. We introduce a new split-merge
Markov chain Monte Carlo technique that eff...
Convergence properties of a general algorithm for calculating variational Bayesian estimates for a normal mixture model
Mixture model Variational Bayes Local convergence Laplace approximation
2009/9/21
In this paper we propose a generalised iterative algorithm for calcu-
lating variational Bayesian estimates for a normal mixture model and investigate
its convergence properties. It is shown theoret...