搜索资源列表
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position
pca
- pca算法原理介绍和仿真代码，主要用于数据的聚类，代码时用于图像上的聚类过程，聚类效果很好，就是有点慢-pca algorithm introduces the principle and simulation code, mainly for clustering data, a clustering process images on-time code, clustering works well, is a bit slow
lm
- 各种对图像的分类和聚类的方法，kmeas、knn、pca等，还有几种数据处理中的窗函数-Variety of image classification and clustering methods, kmeas, knn, pca, etc., there are several data processing window function
pca_exercise
- 这是一份介绍PCA在图像处理里面的例子，里面代码都有详细介绍，很有价值-This is a descr iption of the image processing inside PCA example, which codes are detailed, great value
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
question-one
- K-means进行文字图像分类，基础方法一-exploit K-means to classify the graphs
question-two
- K-means进行文字图像分类，中心谱聚类方法-spectral_clustering is used to classify the photos
log
- 提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
ensemble_2.0
- 集成分类器，用于软判决。 常用于图像隐写和隐写分析。-Integrated classifier for soft decision.
K-meansbased-on-image-segmentation
- 基于K-means聚类算法的图像分割 代码及实验测试结果-K-means clustering algorithm based on image segmentation code and some experimental results
OIF
- 使用最佳指数法对高光谱图像进行波段选择的程序。分享一下-The procedure for band selection of hyperspectral images using the best exponential method. share
K-means
- k-means简单实现，实现了k近邻的实现，以图像的形式显示出来，简单实用-k-means simple to achieve achieve a k neighbors realized and presented in the form of an image, simple and practical
nmf
- 非负矩阵分解，处理合成孔径雷达图像，数据处理(The multichannel or wide-angle imaging performance of synthetic aperture radar (SAR) can be improved by applying the compressed sensing (CS) theory to each channel or sub-aperture image formation independently.)
eccv10_tutorial_part2
- 稀疏编码图像分类, 稀疏表示创始人写的PPT,内容精彩,分析清晰,易于理解(sparse coding image classification, PPT written by the original author of sparse representation, the PPT content is easy to realize with clear illustration and analysis.)
xuanqufengzhi
- 一种天文图像的目标点快速检测算法的源程序。(A Fast Algorithm for Target Detection of Astronomical Images)
BinaryNet-master
- 二值化程序代码，对数据进行很好地优化，实用于图像处理，图像去噪(Two value of the program code, the data is well optimized)
leastSquare
- 最小二乘算法，用于数据处理，图像处理，深度学习等等(Application of weighted least square method to machine vision system)
实验6_NMF-ICA
- 实现非负矩阵分解算法和独立成分分析，得到遥感遥感图像解混结果(The non negative matrix factorization algorithm and independent component analysis are implemented to get the unmixing results of remote sensing images)
kmeans
- 对数据和图像进行聚类分析，k-means聚类方法多应用于模式识别，人工智能，机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
STTF
- 本系统采用VC开发 可实现点云数据的处理,图像缩放,生成曲面()