-
Character-Recognition(Lib-SVM)
支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)
- 2011-05-22 08:57:15下载
- 积分：1
-
measure_coef
It is to find the coefficient of similarity
- 2011-12-18 12:28:45下载
- 积分：1
-
rkt
rkt filtering, image processing
- 2010-08-01 23:31:25下载
- 积分：1
-
Cluster
clustering data at matlab
- 2009-12-14 17:00:54下载
- 积分：1
-
target
基于红外图像的弱小目标检测与跟踪，matlab源代码，非常适用于初学者(Based on infrared image dim target detection and tracking, matlab source code, very suitable for beginners)
- 2021-03-31 10:09:09下载
- 积分：1
-
lyas1
说明： 计算lyapunov指数谱，并能计算最大lyapunov指数(calculating lyapunov exponent spectrum and the max value of lyapunov exponent)
- 2011-03-29 11:31:21下载
- 积分：1
-
dc_pgm
dc pulse generator program
- 2012-01-28 03:36:01下载
- 积分：1
-
eggs-image-processing
my package is all about image processing of counting eggs using bwareaopen to remove noise and filtering of the image, also include how many eggs are there.
- 2014-02-04 05:38:05下载
- 积分：1
-
gngauss
MATLAB高斯噪声生成函数（用于通信）(MATLAB function to generate Gaussian noise (for communication))
- 2020-10-05 09:07:39下载
- 积分：1
-
xiaoARmodel1
用matlab 语言实现功率谱估计算法,程序中有详细的说明(using Matlab language power spectrum estimation algorithm, the process is described in detail in)
- 2006-06-26 17:00:59下载
- 积分：1
