-
huffman
图像压缩matlab的霍夫曼编码huffman
- 2010-12-09 13:31:26下载
- 积分：1
-
Scalebox
数据预处理工具箱,可以对数据进行归一化与反归一化的处理。(Toolbox data preprocessing, data can be normalized and anti-normalization process.)
- 2015-03-24 22:04:20下载
- 积分：1
-
Untitled
实现正弦波生成的matlab程序，基于矩阵公式推导，可以延伸变化(Sine wave generated by the realization of matlab program, based on the matrix formula is derived, the changes can be extended)
- 2009-01-03 18:59:43下载
- 积分：1
-
blast_err_rx1
用MATLAB编写的MIMO系统中BLAST系统的接收程序，存在错误传播时的情况(MATLAB prepared using MIMO system receiver BLAST system procedures, there is an error in the spread of the circumstances)
- 2008-01-23 19:30:32下载
- 积分：1
-
74hanmingma
7，4汉明码的编码和译码程序，用MATLAB语言实现的(7,4 hamming code encoding and decoding process, using the MATLAB language)
- 2009-05-22 22:12:45下载
- 积分：1
-
GoldenSection
黄金分割法的MatLab源码！！！黄金分割法的MatLab源码！！！(Golden section method of MatLab source code! ! ! Golden section method of MatLab source code! ! !)
- 2010-01-30 15:26:25下载
- 积分：1
-
gkclust
it is a code for GKFCM clustering
- 2011-12-04 23:38:02下载
- 积分：1
-
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
-
ackleyfcnTest.m
Implements the traditional benchmark formulation used in optimization literature
- 2011-01-25 04:12:25下载
- 积分：1
-
svm-matlab
支持向量机(SVM)用于分类的算法实现
function [D, a_star] = SVM(train_features, train_targets, params, region)(Support Vector Machine (SVM) algorithm for classification in function [D, a_star] = SVM (train_features, train_targets, params, region))
- 2014-01-14 10:36:36下载
- 积分：1
|
联系客服（QQ：3324461878）
