The coreset variational Bayes (CVB) algorithm for mixture analysis

Variational Bayes for Hierarchical Mixture Models

In recent years, sparse classification problems have emerged in many fields of study. Finite mixture models have been developed to facilitate Bayesian inference where parameter sparsity is substantial. Classification with finite mixture models is based on the posterior expectation of latent indicator variables. These quantities are typically estimated using the expectation-maximization (EM) alg...

Video Segmentation via Variational Bayes Mixture Models

Video modeling is of interest for many applications, including video indexing, video data compression, object detection, unusual-event detection and object recognition. Many approaches employ local (pixelbased) models. In Stauffer and Grimson’s work on background modeling [14], the intensity or color of each pixel is modeled as a mixture of Gaussians, where each mixing component represents one ...

A variational Bayes discrete mixture test for rare variant association.

Recently, many statistical methods have been proposed to test for associations between rare genetic variants and complex traits. Most of these methods test for association by aggregating genetic variations within a predefined region, such as a gene. Although there is evidence that "aggregate" tests are more powerful than the single marker test, these tests generally ignore neutral variants and ...

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation