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Statistics-ROC-0.04.tar
- A Perl module implementing receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
EMfor_neural_networks
- In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Will Penny from EE, Imperial Co
roc.rar
- matlab 程序用来计算roc曲线面积,matlab procedures used to calculate the area of roc curves
prec_rec
- 画出函数的ROC曲线，precision/recall 曲线-function [prec, tpr, fpr, thresh] = prec_rec(score, target, varargin) PREC_REC- Compute and plot precision/recall and ROC curves.
rocplot
- ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high spe
spss_roc
- 关于用SPSS来求取ROC曲线的文档，文中主要讲述了求ROC曲线的具体过程-About with SPSS to account the ROC curves of documents, this paper mainly tells the ROC curves for the detailed process
roc.m
- ROC曲线，可以实现统计上对ROC的计算-ROC curves, statistical calculation of ROC
EMdemo
- EM算法在神经网络中的应用，可以用来进行视频数据分类。-In this demo, I use the EM algorithm with a Rauch-Tung-Striebel smoother and an M step, which I ve recently derived, to train a two-layer perceptron, so as to classify medical data (kindly provided by Steve Roberts and Wil
DWT___SVD_robust_and_secure_watermarking_scheme.z
- This a methodology of robust and secure watermarking scheme as described in the following paper http://www.ias.ac.in/sadhana/Pdf2012Aug/425.pdf. Besides that the code implements ROC curves and different methods of attacks to justify the robustness of
ROC
- 利用matlab m文件，实现了接收机ROC性能曲线的绘制-Use matlab m files, to achieve the performance of ROC curves plotted receiver
EER
- Plot This curves Receiver Operating Characteristic (ROC) curve Detection Error Trade-off (DET) curve FAR vs FRR
ROC_spectrumsensing
- The receiver performance is quantified by depicting the receiver operating char- acteristics (ROC) curves. This curves serve as a tool to and study the performance of a sensing scheme. ROC graphs are employed to show trade-of vs between detection pro
Roc-curve
- Everything ROC and Precision-Recall curves.
plotroc
- 这是ROC曲线绘制matlab代码，用于数据分类时，对分类准确率评价的一种方法。-This is MATLAB code of ROC curves which is a uation method of classifying accuracy when the data are classified.
PhD_tool
- 图像处理 可用于掌纹掌脉以及人脸识别的完整系统，包括特征提取，匹配识别，绘制roc曲线。(Image processing can be used for palmprint, palm vein and face recognition of the integrity of the system, including feature extraction, matching recognition, drawing ROC curves.)
pdpf2
- 多重相关系数的ROC曲线，说明此算法的检测概率与虚警概率的性能比其他经典频谱感知算法更好(The ROC curves of multiple correlation coefficients show that the performance of detection probability and false alarm probability of this algorithm is better than that of other classical spectrum sensing
Swerling 1
- 对于Swerling 1起伏目标模型的ROC曲线的仿真(Simulation of ROC curves for Swerling 1 fluctuating target model)
ROCcurve
- 计算信号检测时的ROC曲线,计算结果比较准确，完全符合要求。(Computed the ROC curves.)
evalution_copy
- 三个程序实现目标检测结果的评估，包括ROC曲线，AP值,Fmeasure的计算。(Three procedures are used to evaluate the results of target detection, including ROC curves, AP values, and Fmeasure calculations.)