搜索资源列表
SMFH-master
- 用于交叉模式哈希的监督矩阵因式分解，监督学习算法中的矩阵因式分解算法，文件附带MATLAB源程序(Supervised Matrix Factorization for Cross-Modality Hashing)
homework2_2
- 实现批处理感知器算法的程序，用于分类训练集，同时记下收敛时的步数(Program to realize batch perceptron algorithm for classification of training set, and steps to write down the convergence)
shiyan2
- 模式识别相关实验 Fisher线性判别准则(Pattern recognition)
GLCM
- 模式识别，纹理分析，灰度共生矩阵，统计图像的灰度共生矩阵进行纹理分析(Pattern recognition, texture analysis, gray level co-occurrence matrix, Texture analysis based on gray level co-occurrence matrix of statistical image)
新建文件夹
- ICA(独立成分分解),可实现采集信号中源信号的分离，便于提取特征量，实现模式识别。同时由于可以将源信号分离开来，可实现信号的降噪，去掉基波、三次谐波、五次谐波等(ICA (independent component decomposition) can realize the separation of the source signals in the acquisition signal, and facilitate the extraction of the feature quant
999283
- 模式识别matlab工具包,包含常见的模式识别方法的源程序()
matlab脚本文件
- 输入两组变量即可进行系统优化迭代，选择最佳变量(The system optimization iterations can be carried out by the input of two groups of variables, and the optimal variables are selected)
实验1
- 最小错误率贝叶斯决策方法的MATLAB程序(Bayesian decision making method with minimum error rate)
LVSVM
- 该支持向量机程序可直接在matlab调用，程序的调用可用来事项matlab模式识别相关(The call of the program can be used for matlab pattern recognition related to matters.)
RBF
- RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(RBF network can approximate any nonlinear function, regularity can handle within the system to parse, has good generalization ability and
prtools3.1.7
- MATLAB中的模式识别相关工具箱与算法(Toolbox and algorithm for pattern recognition in MATLAB)
FIRSHER线性判别MATLAB实现
- firsher线性判别实现()
lapsvmp_v02
- lapsvm 方法，进行半监督学习，模式识别与数据挖掘，数据分类(lapsvm method,semi-supervised learning,label unlabel)
source code
- 模式识别与智能计算——Matlab技术实现 书本章节源代码(Pattern recognition and intelligent computing source code)
tncuca503
- 模式识别matlab工具包,包含常见的模式识别方法的源程序()
fuzzymath
- 模糊数学m文件合集，包含模糊聚类分析，模糊模式识别，模糊综合评判。(Fuzzy mathematics m file aggregation, including fuzzy clustering analysis, fuzzy pattern recognition, fuzzy comprehensive evaluation.)
H
- 自己编写的kmeans算法程序，是应用于模式识别的一种方法(The kmeans algorithm written by myself is a method applied to pattern recognition.)
motion detection
- 这是一个动态检测的MATLAB文件，可以对视频中的动态图像分离出来。(This is a dynamic detection of MATLAB files, which can separate dynamic images from videos.)
SVM
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(SVM (Support Vector Machine) refers to support vector machines, which is a common method of discrimination. In the field of machine learning, it is a supervised l
Rejection_Sampling_Tutorial
- 拒绝采样算法的matlab程序，可用于参数估计和模式识别(matlab codes for rejection sampling algorithm, which can be used for parameter estimation and pattern recognition.)