-
PCA311
说明: PCA人脸是识别在matlab的实现程序,包含数据库。(PCA face is to identify procedures in matlab implementation, including the database.)
- 2010-04-24 09:46:59下载
- 积分:1
-
1
说明: 在matlab上实现的贝叶斯分类器,有缘吗(To achieve the matlab Bayesian classifier)
- 2013-05-21 19:22:06下载
- 积分:1
-
I13MICHANS
模拟计算迈克尔逊干涉仪产生的强度曲线,及其对波长和夹角的依赖性。(Ring pattern of intensity of the Michelson interferometer)
- 2016-05-17 14:46:00下载
- 积分:1
-
pjimage
一个对图像二值化的界面设计,能实现打开及保存等功能,包含M文件及GUI界面。(An image binarization of interface design, to achieve open and save functions, including the M documents and GUI interface.)
- 2010-06-09 19:46:21下载
- 积分:1
-
pcm
该程序可以把模拟信号通过PCM编码变成数字信号(The program can be an analog signal into a digital signal through the PCM coding)
- 2012-05-21 22:26:54下载
- 积分:1
-
cuboids_Apr_Original
这是2005年Dollar发表的文章中,人体行为识别的全部代码。希望有用、(This is a 2005 article published in the Dollar, human behavior recognition of all the code. I hope useful,)
- 2014-10-26 13:46:59下载
- 积分:1
-
snopt-mfiles
SNOPT 大型非线性规划软件windows系统32位 64位均有(SNOPT Nonlinear Program )
- 2020-07-01 00:20:01下载
- 积分:1
-
fzgiztrx
相关分析过程的matlab方法,部分实现了追踪测速迭代松弛算法,一些自适应信号处理的算法,搭建OFDM通信系统的框架,用MATLAB实现动态聚类或迭代自组织数据分析,合成孔径雷达(SAR)目标成像仿真,包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法。( Correlation analysis process matlab method, Partially achieved tracking speed iterative relaxation algorithm, Some adaptive signal processing algorithms, Build a framework OFDM communication system, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Synthetic Aperture Radar (SAR) imaging simulation target, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)
- 2016-04-07 22:10:35下载
- 积分:1
-
jueceshu
决策树的matlab 程序代码 非常好用 适合初学者(Matlab code decision tree is very useful for beginners)
- 2009-06-07 00:40:59下载
- 积分:1
-
automatic-Emotion-predictor-sytem
A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
- 2013-11-26 22:40:05下载
- 积分:1