搜索资源列表
RA
- 显著性检测模型 直接运行main_RA,窗口输出的图像分别为L,a,b以及Lab综合图像的显著性图。保存的为Lab综合图像的显著性图。-Segmenting Salient Objects Images and VideosECCV2010
11SQT3
- 对多元线性回归进行因子筛选,最后给出一定显著水平下的回归系数-Multivariate linear regression factor screening, and finally gives a certain level of regression coefficient
FT
- 用matlab实现的FT算法,用于显著性检测。可能对您做显著性检测对比算法有帮助-Using MATLAB to achieve the FT algorithm for saliency detection. May be useful for you to do more contrast detection algorithm
PSO-image-segment
- 混沌粒子群算法用于图像分割,程序已调试好,并用多种图像提供使用。分割效果显著。-Chaotic particle swarm optimization algorithm for image segmentation, the program has been debugged, and use a variety of images available. Segmentation effect is remarkable.
cholesky
- cholesky分解是用于将一个对称正定的矩阵分解为一个上三角与一个下三角矩阵乘积的形式,可运用于回归系数求解,线性方程组求解中 逐步回归是在回归分析的建模过程中用于变量筛选的有效方法,这里同时进行了向前和向后回归,效果更加显著(Cholesky decomposition is used to decompose a symmetric positive definite matrix into an upper triangle and a lower triangular matrix
regstats2
- 可计算线性回归趋势,显著性以及各种统计量,详情请参照代码内的介绍(Computable linear regression, trends, significance, as well as various statistics, please refer to the code for details)
anova
- 单因素方差分析程序设计,进行显著性分析。(A single factor analysis of variance procedure was designed to perform a significant analysis.)
stepwise
- 逐步回归的基本思想是将变量逐个引入模型,每引入一个解释变量后都要进行F检验,并对已经选入的解释变量逐个进行t检验,当原来引入的解释变量由于后面解释变量的引入变得不再显著时,则将其删除。以确保每次引入新的变量之前回归方程中只包含显著性变量。这是一个反复的过程,直到既没有显著的解释变量选入回归方程,也没有不显著的解释变量从回归方程中剔除为止。以保证最后所得到的解释变量集是最优的。(In statistics, stepwise regression is a method of fitting re
Mann-kendall趋势分析的Matlab程序
- m-k突变检验及趋势检验,可以很好的解释气候等变化的显著性趋势和突变点(Mk mutation test and trend test, can well explain the climate change trend and the significance of mutations)
duoyuanjianyan
- 验证检验回归系数的显著性,循环检验,得出最后结果(Verify the significance of the regression coefficient, test the cycle, and get the final result)
context aware saliency detection 2
- 上下文感知显著性检测 ,供参考学习。(context aware saliency detection 2)
overfitting
- 用于验证可行性的过拟合数据集。验证该显著性预测算法的可行性。(the scr ipt for overfitting the dataset to verify the utility.)
ground_truth_mask
- saliency 图像显著性检测最常用的数据集,有stimulus和pixel-wise groundtruth,共15k张(Saliency image saliency detection of the most commonly used data sets, there are stimulus and pixel-wise groundtruth, a total of 15K)
方差分析
- 方差分析又称“变异数分析”,是R.A.Fisher发明的,用于两个及两个以上样本均数差别的显著性检验(ANOVA, also called variance analysis, was invented by R.A.Fisher, which was used to test the significance of the mean difference between two and more than two samples)
随机动力系统
- 并行计算能够显著地提高计算速度,但是额外地规约,数据传输速度会使运行效率降低。(Parallel computing can significantly improve the computing speed, but the additional protocol, the speed of data transmission will reduce the operation efficiency.)
Copy_4_of_top88_2
- 通过带有三角函数的高斯积分的求解,提出了一系列描述载荷不确定性的均值函数,给出了柔顺度期望和方差的精确解析公式,并且用数值算例验证了该方法的快速准确性。利用所导出的解析公式,求解以柔顺度期望为目标的稳健性拓扑优化问题,获得了典型设计实例的构型设计。设计结果表明考虑载荷大小和方向的不确定性对于结构拓扑优化的结果有较为显著的影响,也验证了解析公式的正确性和拓扑优化模型的有效性。(By solving the Gauss integral with trigonometric functions, a
SalientRegionDetector
- 通过将图像的RGB空间向LAB空间转换并进行优化,最终可以实现图像的显著性检测(By converting the RGB space of the image to LAB space and optimizing it, finally the saliency detection of the image can be achieved.)
24541189
- 用VB实现的数据的统计描述 包括分布的矩---均值,平均差,标准差,方差和中位数的搜索,均值与方差的显著性检验等()
fig6 image contour detection
- AC算法,显著性实现,目标检测算法,图像处理,抠图(The AC algorithm was realized, the target detection algorithm, image processing, image matting)
346011
- 用VB实现的数据的统计描述 包括分布的矩---均值,平均差,标准差,方差和中位数的搜索,均值与方差的显著性检验等()