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Face-eye-detection-Eye_tracking
一个程序，可以进行人脸识别和人眼跟踪，基于Matlab编写。(A program which can detect face and track eys, based on Matlab)
- 2010-11-07 01:10:34下载
- 积分：1
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vulnerability
可用来计算复杂网络的易损性，进而分析网络特性(used to calculate the vulnerability of networks)
- 2014-09-30 08:37:53下载
- 积分：1
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Read-and-Write-Excel-File
在matlab环境下对EXCEL文件进行读写操作，适合初学者学习借鉴。(In the matlab environment EXCEL file read and write operations, suitable for beginners to learn.)
- 2013-12-23 20:11:08下载
- 积分：1
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DFCM
(Decentralized Fused Covariance Type Kalman Filter)
- 2010-08-18 08:10:33下载
- 积分：1
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Wind_Turbine_Blockset_in_Matlab_Simulink
Beschreibung zur wind turbine Tool Box
- 2010-08-31 20:15:31下载
- 积分：1
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Kalman_matlab_example
卡尔曼滤波程序，并附有具体的实例，对初学者希望有用(Kalman filtering process, together with specific examples, hope helpful for beginners)
- 2010-05-06 12:54:20下载
- 积分：1
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slamSimulation
slam simulation for robot cartoggraphy and mapping with out external sensors
- 2014-01-12 00:38:08下载
- 积分：1
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AF2
该程序是对简单AF和应用去噪映射的协作通信系统的仿真比较，其中可改变UA-BS信道情况得到不同的结论。
系统中UB-UA间的信道系数为0.5(The program is a simple AF and application of de-noising mapping collaboration comparison and simulation, communication systems, which may change the UA-BS channel conditions get different conclusions. UB-UA system, the channel coefficient between 0.5)
- 2009-12-16 13:10:03下载
- 积分：1
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dianyun
可以直接運行TestMyCrust.m，是讀取恐龍點雲的sample，load其它mat文件，可以查看其他samples。(Can be run directly TestMyCrust.m, is to read the dinosaur point cloud sample, load other mat file, you can view other samples.)
- 2015-04-22 12:07:11下载
- 积分：1
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半监督分类算法
半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
