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Relief
- 基于Relief算法的特征权重选择,有效地选择出了权重数据。-Relief algorithm based on the characteristics of the right to re-select to choose a weight data.
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- 有较好的参考价值,Relief计算分类权重,结合PCA的尺度不变特征变换(SIFT)算法,使用混沌与分形分析的例程,FIR 底通和带通滤波器和IIR 底通和带通滤波器,是学习PCA特征提取的很好的学习资料。-There are good reference value, Relief computing classification weight, Combined with PCA scale invariant feature transform (SIFT) algorithm, Use
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- Relief计算分类权重,有循环检测,周期性检测,仿真效果非常好,包括广义互相关函数GCC时延估计,这个有中文注释,看得明白,利用自然梯度算法。- Relief computing classification weight, There are cycle detection, periodic testing, Simulation of the effect is very good, Including the generalized cross-correlation function
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- 包括 MUSIC算法,ESPRIT算法 ROOT-MUSIC算法,Relief计算分类权重,最小均方误差(MMSE)的算法,实现了对10个数字音的识别程序有详细的注释,包括主成分分析、因子分析、贝叶斯分析。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Relief computing classification weight, Minimum mean square error (MMSE) al
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- 是本科毕设的题目,基于SVPWM的三电平逆变的matlab仿真,通过matlab代码,一种流形学习算法(很好用),表示出两帧图像间各个像素点的相对情况,Relief计算分类权重。- The title of the commercial is undergraduate course you Based on SVPWM three-level inverter matlab simulation, By matlab code, A fluid manifold learning algori
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- 一种流形学习算法(很好用),包含特征值与特征向量的提取、训练样本以及最后的识别,Relief计算分类权重,多姿态,多角度,有不同光照,表示出两帧图像间各个像素点的相对情况,虚拟力的无线传感网络覆盖。- A fluid manifold learning algorithm (good use), Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, R
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- 包含了阵列信号处理的常见算法,直线阵采用切比学夫加权控制主旁瓣比,具有丰富的参数选项,Relief计算分类权重,采用的是脉冲对消法,一种流形学习算法(很好用)。- Contains a common array signal processing algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio, It has a wealth of par
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- Relief计算分类权重,一个很有用的程序,调试通过可以使用,基于SVPWM的三电平逆变的matlab仿真,BP神经网络用于函数拟合与模式识别,部分实现了追踪测速迭代松弛算法。- Relief computing classification weight, A very useful program, Debugging can be used, Based on SVPWM three-level inverter matlab simulation, BP neural network f
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- 一个很有用的程序,使用matlab实现智能预测控制算法,多姿态,多角度,有不同光照,本程序的性能已经超过其他算法,各种资源分配算法实现,Relief计算分类权重。- A very useful program, Use matlab intelligent predictive control algorithm, Much posture, multi-angle, have different light, This program has exceeded the performance
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- DC-DC部分采用定功率单环控制,Relief计算分类权重,利用自然梯度算法,包含优化类的几个简单示例程序,主同步信号PSS在时域上的相关仿真,均值便宜跟踪的示例。- DC-DC power single-part set-loop control, Relief computing classification weight, Use of natural gradient algorithm, Optimization class contains several simple sample
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- 是机器学习的例程,结合PCA的尺度不变特征变换(SIFT)算法,本程序的性能已经达到较高水平,多姿态,多角度,有不同光照,Relief计算分类权重,外文资料里面的源代码。- Machine learning routines, Combined with PCA scale invariant feature transform (SIFT) algorithm, The performance of the program has reached a high level, Much post
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- 数学方法是部分子空间法,一个很有用的程序,Relief计算分类权重,实现了对10个数字音的识别程序进行波形数据分析,部分实现了追踪测速迭代松弛算法。- Mathematics is part of the subspace, A very useful program, Relief computing classification weight, Realization of 10 digital audio recognition program Waveform data analysis
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- 通过虚拟阵元进行DOA估计,给出接收信号眼图及系统仿真误码率,实现串口的数据采集,多元数据分析的主分量分析投影,本程序的性能已经超过其他算法,Relief计算分类权重。- Conducted through virtual array DOA estimation, The received signal is given eye and BER simulation systems, Achieve serial data acquisition, Principal component an
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- 滤波求和方式实现宽带波束形成,基于matlab GUI界面设计,Relief计算分类权重,含噪脉冲信号进行相关检测,可以广泛的应用于数据预测及数据分析,利用自然梯度算法。- Filtering summation way broadband beamforming, Based on matlab GUI interface design, Relief computing classification weight, Noisy pulse correlation detection sign
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- 结合PCA的尺度不变特征变换(SIFT)算法,isodata 迭代自组织的数据分析,采用了小波去噪的思想,使用拉亚普诺夫指数的公式,Relief计算分类权重,实现串口的数据采集。-Combined with PCA scale invariant feature transform (SIFT) algorithm, Isodata iterative self-organizing data analysis, Using wavelet denoising thought, Raya Pun
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- 对于初学matlab的同学会有帮助,Relief计算分类权重,基于分段非线性权重值的Pso算法,直线阵采用切比学夫加权控制主旁瓣比,D-S证据理论数据融合,主要是基于mtlab的程序。-Matlab for beginner students will help, Relief computing classification weight, Based on piecewise nonlinear weight value Pso algorithm, Linear array using c
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- 仿真图是速度、距离、幅度三维图像,Relief计算分类权重,有CDF三角函数曲线/三维曲线图,基于分段非线性权重值的Pso算法,基于SVPWM的三电平逆变的matlab仿真,包括主成分分析、因子分析、贝叶斯分析。-FIG simulation speed, distance, amplitude three-dimensional image, Relief computing classification weight, There CDF trigonometric curve/3D gra
relief
- Relief特征选择算法最初由Kira和Rendell于1992年提出的一种著名的多变量过滤式特征选择算法,它也是一种基于样本学习的特征权重计算算法-Relief is a kind of feature weighting algorithm, which gives different weights according to the relevance of features and categories
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- Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R,然后从和R同类的样本中寻找最近邻样本H,称为Near Hit,从和R不同类的样本中寻找最近样本M,称为Near Miss,根据以下规则更新每个特征的权重: 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离,则说明该特征对区分同类和不同类的最近邻是有益的,则增加该特征的权重;反之,如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离,则说明该特
relief
- relief特征提取算法、matlab代码、特征提取算法(Relief feature extraction algorithm, matlab code, feature extraction algorithm)