-
matlabImageprocessingsourcecode
matlab 图像处理源代码，比较全，有多个matlab程序(matlab image processing source code, compare the whole, there are several matlab programs)
- 2010-07-22 15:06:59下载
- 积分：1
-
Matlab_receiver
matlab 软件接收机 完成跟踪和捕获 以及定位解算功能 包括运行需要的中频数据(matlab SOFTWARE RECEIVER)
- 2009-07-14 20:16:15下载
- 积分：1
-
50842660C
源码，便于初学。含105个文件，包括求JACOBI矩阵等(Source for learning. Containing 105 documents, including the matrix, such as seeking JACOBI)
- 2009-07-15 07:18:17下载
- 积分：1
-
sdv
平稳性检测，关于matlab的平稳性检测源代码，时间序列多个代码(Stability testing, stability testing on matlab source code, time series, more than one code)
- 2013-07-31 08:36:25下载
- 积分：1
-
Vision_Tarea7
deteccion de esquinas en tiempo real
- 2012-05-10 08:50:53下载
- 积分：1
-
Newmark_B-VS-HPD_L-VS-Wilson
结构随机振动中关于Newmark 与精细积分法的对比，在精度一致的情况下效率的提高( a small program about Newmark and NPDL)
- 2020-10-21 20:27:23下载
- 积分：1
-
colorspace
color space converter
- 2011-08-20 00:58:45下载
- 积分：1
-
create_kfolds_balanced_train_test
Divide/Create data into K-Folds training and testing data which are balanced basing on the labels. It is for k-fold cross validation.
- 2013-12-25 16:38:08下载
- 积分：1
-
fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重：
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分：1
-
EbookProvider.co.cc_TheArtOfC
Book describing the way of programming in c and c++
- 2011-01-26 06:05:55下载
- 积分：1
