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inkblot-2.9-source
- 用一个重正化函数F z F bz /a 作为支气管结构第z 个层次 的半径则参数b 表征了对半径变化有贡献的标度区间的测度而a 表 示某个特征标度的权重-with an emphasis of function F is F bz z / bronchial structure as a first level of z radius parameter b is characterized by changes in the
precision_
- 对比分类器的测试数据和输出结果，给出Precsion，Recall和F-Measure-contrast classification of the test data and output the results, given Precsion. Recall and F-Measure
inkblot-2.9-source
- 用一个重正化函数F z F bz /a 作为支气管结构第z 个层次 的半径则参数b 表征了对半径变化有贡献的标度区间的测度而a 表 示某个特征标度的权重-with an emphasis of function F is F bz z/bronchial structure as a first level of z radius parameter b is characterized by changes in the ra
precision_
- 对比分类器的测试数据和输出结果，给出Precsion，Recall和F-Measure-contrast classification of the test data and output the results, given Precsion. Recall and F-Measure
F_MEASURE
- 这是一个很好的学习工程，对于初学都是一个难得的好资料，完整！-This is a good learning project for the beginner is a rare good information, complete!
SSP
- I implement Dijkstra s Single Source Shortest Path, say SSP, algorithm for directed graphs using a simple data structure, say simple scheme, Fibonacci heaps, say F-heap scheme, and Pairing heaps, say P-heap scheme, and m
Featureextractionforcomputervisionbasedfiredetecti
- 火灾视觉特征的提取是视觉火灾探测中的关键问题. 我们主要研究色彩、纹理以及轮廓脉动 等特征的提取,并提出一种度量轮廓脉动信息的距离模型,该模型在规格化的傅立叶描述子空间能 够准确地度量这种时空闪烁特征. 实验结果表明,该方法具有比较好的鲁棒性,有助于提高视觉火 灾探测的准确率、降低误报漏报率.-Based on investigating color , text ure and temporal feat ures for
blurMetric
- The idea is from "The Blur Effect: Perception and Estimation with a New No-Reference Perceptual Blur Metric" Crété-Roffet F., Dolmiere T., Ladret P., Nicolas M. - GRENOBLE - 2007 In SPIE proceedings - SPIE Elect
AI_Blood
- 本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器， 并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of train
Gaussian
- The numerical integration methods described so far are based on a rather simple choice of evaluation points for the function f(x). They are particularly suited for regularly tabulated data, such as one might measure in
f-conter
- 使用c8051f020为核心，用于高精度条件下，对频率进行测量的源代码-Use c8051f020 as the core for high-precision conditions, the frequency of the source code to measure
Constrained-Engineering-Optimization
- 将离散约束优化问题转化为非负整数约束规划问题，开发求解该问题的离散差分进化算法。该算法采用基于混沌映射 的种群初始化、双版本变异和带随机扰动项的取整运算等新策略。针对非线性约束条件，给出惩罚基数的计算方法和连续映 射基函数的表达式，在此基础上设计处理非线性约束的自适应惩罚因子。提出一种刻画种群多样性的新测度——种群二次平 均基因距离及基于新测度的依概率混沌移民算子。将自适应罚函数法、依概率混沌移民操作与离散差分进化算法有机融
a
- Problem A: Pouring Water-I guess that everybody can play this game: There are two buckets(水桶). Bucket 1 has the capacity X and bucket 2 has Y liters(升). Then you are asked to measure Z liters of water in one of the two b
51-cap
- 基于AT89C51单片机和555芯片构成的多谐振荡电路设计一电容测量电路，这种测量方法主要是通过一块555芯片来测量电容大小。让555芯片工作在直接反馈无稳态的状态下，555芯片输出一定频率的方波，其频率的大小跟被测量的电容之间的关系是：f=0.772/(R*Cx) ，固定R的大小，其公式就可以写为：f=k/Cx，只要能够测量出555芯片输出的频率，就可以计算出测量的电容。计算频率的方法可以利用单片机的计数器T0和中断INT0配合使用来
Measure-for-Human
- 人体运动参数检测是生成人体运动计算机仿真演示和控制拟人机器人运动的主要手段。近年来针对这 种检测方法国内外研究人员展开了广泛的研究。本文介绍了基于模型的人体运动参数检测方法的研究现状, 为人 体仿生学和拟人机器人等领域的科学研究提供依据-Mea sur e for huma n mo tio n par ameter s is a main method to g ener ate computer simulatio n o
f-Pulse
- 基于C51单片机测量脉冲宽度C语言程序参考好程序-Good procedures C51 microcontroller-based reference to measure the pulse width C language program
PR-F_Measure
- 这个程序措施边缘检测方法(精明和Sobel)使用1级法术(BSD图像和地面真理)公开。比较是使用两个参数(PR和F-Measure完成-This Program Measures Edge Detection methods ( Canny and Sobel) using Publicly avilable ( BSD images and Ground Truth). Comparison is done using two par
Evaluate
- F-measure calculation
PE_doc_29919
- Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are biased and should not be used without clear understanding of the biases, and corresponding identification of chance or base