Mixture
共 32 篇文章
Mixture 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 32 篇文章，持续更新中。
期刊论文：Hyperspectral Small Target Detection by Combining Kernel PCA
·期刊论文：Hyperspectral Small Target Detection by Combining Kernel PCA with Linear Mixture Model
Driver face tracking using Gaussian mixture model(GMM)
·Driver face tracking using Gaussian mixture model(GMM)
GMM
GMM：高斯混合模型-详细介绍高斯混合模型，需要的朋友可以共享-With regard to Gaussian mixture model of a very good article
基于MATLAB的语音识别系统程序
·基于MATLAB的语音识别系统程序,包括HMM,DTW,Record三个matlab的M文件 文件列表: cdhmm .....\baum.m .....\getparam.m .....\hmm.mat .....\inithmm.m .....\mfcc.m .....\mixture
Audio+Engineering
Sound is simply an airborne version of vibration. The air which carries sound is a mixture<br />
of gases. In gases, the molecules contain so much energy that they break free from<br />
their neighbor
Signal Processing for Telecommunications
This paper presents a Hidden Markov Model (HMM)-based speech<br />
enhancement method, aiming at reducing non-stationary noise from speech<br />
signals. The system is based on the assumption that the
Principles+of+digital+communication
Communication has been one of the deepest needs of the human race throughout recorded<br />
history. It is essential to forming social unions, to educating the young, and to expressing a<br />
myriad
EM算法（英文）A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaus
EM算法（英文）A Gentle Tutorial of the EM Algorithm
and its Application to Parameter
Estimation for Gaussian Mixture and
Hidden Markov Models
Each exploration in this book is a mixture of text and interactive exercises. The exercises are unl
Each exploration in this book is a mixture of text and interactive exercises. The exercises are
unlike anything you鈥檝e seen in other books. Instead of multiple choice, fill-in-the-blank, or
simple Q
a document about "Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models"
a document about "Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models"
EM algorithm for Gausian mixture models
EM algorithm for Gausian mixture models
Detecting Cars Using Gaussian Mixture Models
This example shows how to detect and count cars in a video sequence using foreground detector based on Gaussian mixture models (GMMs)
Probability distribution functions. estimation - (dir) Probability distribution estimation. dsam
Probability distribution functions.
estimation - (dir) Probability distribution estimation.
dsamp - Generates samples from discrete distribution.
erfc2 - Normal cumulative distribution function.
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
gaussian mixture modelling in matlab
gaussian mixture modelling in matlab
EM algorithm based on constrained mixture Gaussion model
EM algorithm based on constrained mixture Gaussion model
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimi
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the give
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in patt
This code is to estimate the parameter of model of Mixture Gauss which is popular model used in pattern classification .
JAVA 写的估计复合高斯模型中的参数
LatentSVM论文
The object detector described below has been initially proposed by
P.F. Felzenszwalb in <a class="reference internal" href="http://www.opencv.org.cn/opencvdoc/2.3.2/html/modules/objdetect/doc/latent_s
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to
Fit a multivariate gaussian mixture by a cross-entropy method. Cross-Entropy is a powerfull tool to achieve stochastic multi-extremum optimization.