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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...
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.
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...
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 tree-based kernel selection approach to efficient Gaussian mixture model–universal background model based speaker identification
Speaker recognition Speaker identification Tree-based kernel selection GMM–UBM
2013/6/28
We propose a tree-based kernel selection (TBKS) algorithm as a computationally efficient approach to the Gaussian mixture model–universal background model (GMM–UBM) based speaker identification. All G...