搜索资源列表
mae
- 生产者和消费者的问题,主要解决进程的同步和异步的问题-producers and consumers that the main problem solving process synchronous and asynchronous problems
objective_evaluation
- 图像评价的几个标准,包括峰值信噪比,均方误差,平均绝对误差,图像保真度,信噪比的MATLAB代码,采用基本编程方法,适合初学者加深图像客观评价标准的理解。-Image evaluation of several criteria, including PSNR, MSE, mean absolute error, image fidelity, signal to noise ratio of the MATLAB code, using the basic programming for be
evaluation
- 各种图像融合性能评价参数,包括D,MSE,PSNR,SF,RMSE,NCD,REL,MI,MAE,DREL,EOG,CREF等-Image fusion performance evaluation of various parameters
usercf
- 利用Python计算基于用户的协同过滤算法,计算Mae值(Using Python to calculate the user based collaborative filtering algorithm and calculate the Mae value)