搜索结果
找到约 28 项符合
MIXTURE 的查询结果
按分类筛选
数值算法/人工智能 EM algorithm for Gausian mixture models
EM algorithm for Gausian mixture models
行业发展研究 a document about "Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models"
a document about "Baseball Playfield Segmentation Using Adaptive Gaussian Mixture Models"
VC书籍 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 exercises, lessons are interactive explorations of key C++ features.
行业发展研究 very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Class
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document
编辑器/阅读器 The BYY annealing learning algorithm for Gaussian mixture with automated model selection
The BYY annealing learning algorithm for Gaussian mixture with automated model selection
其他 Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions
Implements mixture of binary (logistic) PCAs where pixels are modeled using Bernoulli distributions instead of Gaussian. The images do not need to be aligned.
源码 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)
多媒体处理 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.
人工智能/神经网络 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 given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the re ...
人工智能/神经网络 The software implements particle filtering and Rao Blackwellised particle filtering for conditionall
The software implements particle filtering and Rao Blackwellised particle filtering for conditionally Gaussian Models. The RB algorithm can be interpreted as an efficient stochastic mixture of Kalman filters. The software also includes efficient state-of-the-art resampling routines. These are generi ...