We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constellations of parts. A probabilistic representation is used for al

This documents explains in details with examples of the use Expectation Maximisation algorithm for maximum likelihood estimation in Gaussian mixtures.

本文为对最大期望算法的一个介绍，从解析几何角度分析了算法的特性和几何意义，对从事机器学习的人有较大参考价值。-An excellent introduction for Expectation Maximum algorithm. In this paper, a geometric view of the EM algorithm is given, which might be

aply maximum likelihood expectation maximization