搜索资源列表
ANNEX_D声学模型.DOC
- MPEG音频编码标准ISO11172-3之心里声学模型，步骤很详细，共40页，英文。 内含伪代码-MPEG audio coding standard ISO11172-3, heart acoustic model, the steps in detail, a total of 40 English. Pseudo code intron
gmmtrainer
- 这个源码提供了如何利用高斯混合模型去做影像辨识的参数的训练-the source how to use a Gaussian mixture model to do the imaging parameters of literacy training
gmmclassifier
- 这个源码提供了如何利用高斯混合模型去做影像辨识的模型分类-the source how to use a Gaussian mixture model to do imaging Identification Classification Model
H.263++校验模型tmn3.2 tmn3.2
- H.263++校验模型tmn3.2 tmn3.2 学习H.263++校验模型tmn3.2的好材料-H.263 tmn3.2 tmn3.2 learning model calibration model H.263 tmn3 .2 good material
aacencoder
- aacencoder,相对于原有的AAC编码器，使用MDCT+MDST代替了MDCT+FFT,心理声学模型略有改动(上载者未提供密码，请发邮件向提供者要)-aacencoder, compared to the original AAC encoder, the use of MDCT 291800Z instead of MDCT FFT, psychoacoustic model with slight changes (available did not provide password,
jm86
- 此源码为视频编码的参考模型，jm86，适合大家参考-this video source coding for the reference model, jm86 suitable for your reference
training_gmm
- 训练高斯混合模型的程序，尽管此类代码较多，但本程序经过笔者改写优化后，很大程度上避免了普通方法中局部最优的问题。-Gaussian mixture model training procedures, although the code more, but the procedure after the author rewrite optimization, largely avoiding the ordinary method of optimal local issues.
gmm_creation_mle
- 采用期望最大算法最优化初始高斯混合模型的程序，笔者借用ubm自适应方法，很好的解决了模型不收敛的问题。-expectations largest algorithm using optimization initial Gaussian mixture model procedures, the author borrowed ubm adaptive method, a good model is not the solution convergence problem.
gmm_prob
- 计算高斯混合模型先验概率和后验概率的程序，采用大矩阵运算，大大提高了运行速度。-Gaussian mixture model calculated a priori probability and the probability of post-mortem procedures, using a large matrix computation, greatly improved speed.
DirectxOfMfc
- 一个用MFC和DIRECTX作的3D软件源码，你可以用他作自己的3D模型-a DIRECTX using MFC and 3D software for the source code, you can use him for their own 3D model
Semisimp
- 读入mesh模型，并对其编辑和简化，并可以保存不同层次的模型-read into the mesh model, and its editors and simplified, and can be maintained at different levels of the model
stihrs-0.2.0-sources
- 人脸识别系统，采用了隐式马尔可夫模型算法，请多指教！-face recognition system that uses a hidden Markov model algorithm, please enlighten!
绘制立体模型
- 绘制立体模型，，立体几何图形在多媒体教学中经常会用到，这个代码可以绘制立体模型，绝对的源码，编译后即可运行
opengl手模型
- 用opengl编写的3d手模型，实现了18个自由度的自由旋转。基于java的
viterbi
- viterbi算法，用于HMM（隐马尔科夫模型）中。-viterbi
Gaussian_mixture_model
- 高斯混合模型[Gaussian mixture model,简称GMM]是单一高斯机率密度函数的延伸,由於GMM 能够平滑地近似任意形状的密度分布,因此近年来常被用在语音与语者辨识,得到不错的效果。 -Gaussian mixture model [Gaussian mixture model, referred to as GMM] are single-Gaussian probability density function of the extension.GMM can approxi
gmm
- 利用混合高斯模型训练视频，获得背景图像，并将背景保存。-training video with GMM model ,then get the background,and store the picture in your computer.
HMM
- HMM隐马尔科夫模型实现的源代码，c++环境下-HMM Hidden Markov Model to the source code, c++ environment
GMM
- 混合高斯模型做的视频跟踪系统，具有良好的跟踪效果-Gaussian mixture model to do a video tracking system, has a good tracking results
GMM3
- 基于混合高斯模型的运动目标检测，能实时检测出完整运动前景，是本人对原来的高斯模型的改进-Gaussian mixture model based motion detection, real-time full motion detection prospects are my original Gaussian model improvements