搜索资源列表
zhubuhuiguifenxi
- 逐步回归分析的fortran程序,(I为变换次数,矩阵为R(I),Q为剩余平方和,SD为剩余标准差,F为显著性检验值,R为复相关系数,B为回归系数)-Stepwise regression analysis fortran program, (I was converted number matrix R (I), Q is the residual sum of squares, SD for the residual standard deviation, F is significant
saliency-detection-based-PQFT
- 显著性检测,PQFT算法matlab实现-Silency detection, PQFT algorithm matlab implementation
CmCode-master
- 根据图像的全局对比度进行视觉的显著性区域检测,该算法较经典算法更快更准确。-According significant global contrast of the image area is detected visually, the algorithm faster and more accurate than the classical algorithm.
gbvs
- 经典的图像显著性检测代码,主要为gsbv-Classical image saliency detection code, on the gsbv.
R
- VaR 模型的准确性检验方法很多,其中Kupiec 提出的失败频率检验法是比较直观、比较有效的模型准确性检验方法。 对于给定显著性水平,怎么求其接受区间,可按以下操作。 似然比满足自由度为1的卡方分布 查表,对于alpha 0.05,其自信区间为[ 0.00098,5.024 ]。
CmCode-master
- 论文名字Global Contrast Based Salient Region Detection 含有HC RC两种方法(Global Contrast Based Salient Region Detection)
EE5731R-GBVS-master
- 基于图的显著性检测方法(graph based image saliency)