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数值算法中另一个经典算法gmres算法,用来求解大型矩阵方程问题。-Another classic algorithm gmres algorithm used to solve the problem of large matrix equations.
Date : Size : 1kb User : 李晓鹏

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gmres算法的一个特殊形式,用来求解大型稀疏矩阵方程-gmres algorithm a special form used to solve large sparse matrix equation
Date : Size : 1kb User : 李晓鹏

这是一款用matlab编写的GMM算法,有样例,实现用EM算法寻找GMM参数-This is a matlab prepared using GMM algorithm, there is a sample, look for implementation using EM algorithm for GMM parameter
Date : Size : 39kb User : Ruby

GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data.
Date : Size : 1010kb User : ning

这是一个GMM模型的语音识别代码 非常详细 而且实用。-This is a GMM model for speech recognition is very detailed and useful code.
Date : Size : 35kb User : zhangge

基于泛化自回归的源模型,以及在这个模型基础上的EM算法实现-Generalization based on the source from the regression model, as well as in the model based on EM algorithm
Date : Size : 34kb User : hannah

Demo1: Demonstration of the use of Gaussian Mixture Regression (GMR) and inverse kinematics to reproduce a task by considering constraints both in joint space and in task space. An arm of 2 links moving in 2D space is considered. Several demonstrations of a skill are provided, by starting from different initial positions. The skill consists of moving each joint sequentially and then writing the alphabet letter N at a specific position in the 2D space.- Demo1: Demonstration of the use of Gaussian Mixture Regression (GMR) and inverse kinematics to reproduce a task by considering constraints both in joint space and in task space. An arm of 2 links moving in 2D space is considered. Several demonstrations of a skill are provided, by starting from different initial positions. The skill consists of moving each joint sequentially and then writing the alphabet letter N at a specific position in the 2D space.
Date : Size : 120kb User :

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.
Date : Size : 18kb User : student vala
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