资源列表
test
- 核密度估计 C程序 自己编写 适合初学者-Kernel Density Estimation write your own C program
UCImat
- UCI数据集可以进行数据分类，数据格式为matlab可以直接使用的.mat格式-UCI data sets for data classification, data format for the matlab can be used directly. Mat format
N-Gram-LM
- 该程序基于Bi-Gram模型算法思想对一训练文本中的词汇建立语言模型，而后对测试文本中的语句进行预测出现概率-The program is based on Bi-Gram model algorithm ideas on a training text vocabulary build language model, and then the text of the statement of the test to predict the probability of occurrence
flann-1.7.1-src
- flann 快速近邻搜索 win64已编译好-flann for win64 compiled
lbp
- 计算机视觉领域中的lbp特征提取的matlab代码-the matlab code of the lbp feature extraction in the computer vision domain
zbsvm
- 自己编写的一个关于MISNT手写数字识别的源程序，是一种对原SVM的改进算法，效果不错。-I have written about MISNT handwritten numeral recognition of the source, is an improvement on the original SVM algorithm, the effect is good.
ferns_demo-1.1
- Random Ferns算法实现,通过将时间负荷转移到训练上,使得识别速度与精度都比SIFT高,具有很高的实时性.-Random Ferns algorithm, through the load transfer to the train on time, so that the recognition speed and accuracy than SIFT high, with high real-time.
facepp-csharp-test
- 使用face++的sdk实现的c#版本人脸系别的测试代码-Use face++ the sdk c# version implemented system faces another test code
ViBe
- ViBe是一种像素级视频背景建模或前景检测的算法，效果优于所熟知的几种算法，对硬件内存占用也少，很简单。-ViBe is a pixel-level video background modeling or prospects detection algorithm is better than several well-known algorithms, hardware memory footprint small, very simple.
Digital-recognition
- 基于SVM的数字识别，使用MATLAB编写，基于支持向量机的分类机制-SVM-based digital identification, the use of MATLAB, based on support vector machine classification mechanism
Classify
- Matlab识别图像中的矩形、圆形、椭圆形等源码。-Matlab identify images in rectangular, circular, oval, etc. source.
Sift_Model
- 使用python实现SIFT算法，完成在图片集中的检索工作-Using python to achieve SIFT algorithm, complete the picture focused retrieval