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What is Gaussian Mixture Model

Encyclopedia of Information Science and Technology, Second Edition
A traditional parameter-based clustering model. All samples are assumed to belong to one of several Gaussian distributions, the ensemble can be described by the sum of several Gaussian distribution.
Published in Chapter:
Recent Progress in Image and Video Segmentation for CBVIR
Yu-Jin Zhang (Tsinghua University, Beijing, China)
DOI: 10.4018/978-1-60566-026-4.ch515
Abstract
A simple search from EI Compendex by using the term “image segmentation” only in title field could produce around 5000 records (Zhang, 2006). However, as no general theory for image segmentation for different application domains, particular algorithms have been developed. The domain of Content-Based Image Retrieval (CBIR) is such a typical example, where many specific techniques have been proposed. An introduction focused on research works before 2004 can be found in Zhang (2005). This paper is an up-to-date and extended version from CBIR to CBVIR (Content-Based Visual Information Retrieval) by including CBVR (Content- Based Video Retrieval), which focused on the progress in last 3 years, and especially on video segmentation.
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PCG-Based Biometrics
It can be looked at as a probabilistic model to label unknown parameters that have similar sets of data within an overall data sets.
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