资源列表
KISVM
- KISVM是一种定位关键实例(例如,在图像检索)的多类学习算法。有两种版本,即Bag KISVM和Instance KISVM。-KISVM is a package for locating the key instances (e.g., ROIs in image retrieval) in multi-instance learning. There are two versions, i.e., Bag KISVM and Instance KISVM.
VC6.0-MATLAB-COM-
- VC6.0通过matcom调用m文件的文章-VC6.0 m file by calling the article matcom
VietMF_MATLAB-An_Introduction_with_Applications.r
- VietMF MATLAB An Introduction with Applications
GUI
- 快速入门MATLAB下的GUI用户界面设计，最适宜新手使用-Under the Quick Start MATLAB GUI user interface design, the most appropriate use for novice
BAMIC
- BAMIC是一种multi-instance聚类的算法。-BAMIC is a package for multi-instance clustering. This package includes the MATLAB implementation of BAMIC, which is designed to deal with unsupervised multi-label learning problems. It is particularly useful when real-wo
edison_matlab_interface.tar
- edsion是一个很著名的区域分隔VC程序，这是它对应的matlab实现代码-edsion is a very famous area separated VC program, which is its corresponding implementation code matlab
RescaleNew
- 这个包包括了一个多类代价敏感学习方法Rescalenew。这是一个通用的方法,如instance-weighting, sampling, threshold-moving等。-This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weigh
sand
- sand法求2幅图片的光流，在brox法基础上的改进，包括文章和代码-Method 2 sand picture of optical flow, based on the law in brox improvements, including articles and code
CSNN
- 这个包包含6个代价敏感神经网络训练算法。-This package contains 6 algorithms for training cost-sensitive neural networks. They are over-sampling, under-sampling, threshold-moving, SMOTE and two ensemble methods, i.e. hard-ensemble and soft-ensemble.
algorithms
- 关于c++的全英文相关算法介绍，想详细，很旺对大家有用-C++ on the correlation algorithm described in English, to detail, very busy for all of us
several-ofdm-simulations
- 几个OFDM在MATLAB实现的好程序，有详细的中文注释，方便大家理解-MATLAB implementation of OFDM in a few good programs, there are more Chinese comments, to enable easy understanding
least-squares
- 最小二乘法曲线拟合，可以实现利用最小二乘法拟合曲线，并显示图形，操作简单。-Least squares curve fitting, can be achieved using least squares curve fitting and display graphics, easy to operate.