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wjlxptztq
- 硕士学位论文，基于无线传感器网络的水下目标是吧，连续谱特征提取-Master' s degree thesis, based on wireless sensor networks for underwater target is right, a continuous spectrum feature extraction
wjtzlxptztq
- 硕士学位论文基于无线传感器网络目标识别，调制连续谱特征提取-Master' s degree thesis on wireless sensor networks target recognition, feature extraction continuous spectrum modulation
wjtzxptztq
- 基于无线传感器网络的水下目标识别，调制线谱特征提取-Underwater wireless sensor network based object recognition, feature extraction line spectrum modulation
KPCA
- KPCA主要在图像去噪声方面有应用。此外还可以进行特征提取，降维使用.-KPCA major noise in the image to have the application. You can also feature extraction using dimension reduction.
mi
- 通用机器学习及数据挖掘的特征提取及贝叶斯网络程序-通用机器学习及数据挖掘的特征提取及贝叶斯网络程序.-Common machine learning and data mining feature extraction and Bayesian network program- common machine learning and data mining of feature extraction and Bayesian network program.
gaboutnnde
- 一个基于输入的图形进行特征提取一种基于gabor小波变换代码。-Graphics based on the input of a feature extraction based on gabor wavelet transform code.
rastamat
- 语音信号特征提取技术,PLP，MFCC,FFT等MATLAB程序。-plp mfcc
Apple-feature-extraction
- 苹果特征提取，按照灰度化，直方图均衡化，中值滤波，边缘检测，特征提取的顺序来 特征提取中，取得“比例系数”时，选择一张横径图片，序号与之前选择图像的相同-Apple feature extraction, according to grayscale, histogram equalization, median filtering, edge detection, feature extraction feature extraction in order to obtain "
flowercloud
- 基于云模型的花片特征提取算法，该算法通过云模型的逆向正态云发生器，由样本点信息，求解出三类花四个特征参数各自的数字特征：期望、熵、超熵。-Based on Cloud Model Motif feature extraction algorithm, which cloud model of reverse normal cloud generator, the sample point information, solving the three spent four the number o
svmcwtest1
- 对瞬时特征提取过程进行了描述，具有一定的参考价值-The instantaneous feature extraction process is described, with some reference value
palmprint-PCA
- 本程序是本人根据人脸识别PCA改进的，用于掌纹识别，是学习PCA特征提取的很好的学习资料。-I based this program is to improve the face recognition PCA for palmprint identification, PCA feature extraction is to learn a good learning materials.
SVMRFE
- 用于特征排序 特征提取前的预处理 对于m*n列的数据进行特征排序 模式识别中的特征提取或者模式分类中的预处理 -Sort feature for feature extraction pre-treatment before the column for the m* n order to characterize the data in the application of pattern recognition
F-Matrix
- 根据计算机视觉的基本理论，通过摄像机自标定的方法得到基本矩阵F，再利用特征提取的方法将物体上的关键点映射到三维空间，并转换到欧式坐标系下，从而得到物体运动过程中的六自由度分量。-According to the basic theory of computer vision, through the camera self-calibration method to be the fundamental matrix F, re-use feature extraction methods on
KPCA00
- kpca原始程序和小波去噪部分，用于数据降维和特征提取比较实用-kpca part of the original program and wavelet denoising for data dimensionality reduction and feature extraction more practical
Fault7_KPCA0
- KPCA程序，可用于数据降维，特征提取，用起来比较简单-KPCA procedure can be used for data dimensionality reduction, feature extraction, using relatively simple
KL2
- 利用K-L变换进行特征提取 通过类平均向量来实现类别投影 -By K-L transform feature extraction Through the kind of average vector to achieve category projection
F5steganographic-1.0
- 针对F5隐写的检测，包括共生矩阵，不连续性的特征提取，DCT变换，灰度值提取，运用支持向量机SVM -For F5 steganography detection, including the co-occurrence matrix, feature extraction discontinuity, DCT transform, gray value extraction, using support vector machine SVM
jingdiangonglvpufenxi
- 关于微弱信号特征提取方法中，经典功率谱的分析方法-About the weak signal feature extraction method, the classic power spectrum method of analysis
tezhentiqu
- 论文使用一种经典的特征提取方法—主成分分析法（PCA）进行特征提取，其基本思想是降维。降维后的数据除了计算工作量减少之外不会减少原始数据所包含的有效信息量。-This paper use a classical method for feature extraction—Principal Component Analysis(PCA)with the basic idea of dimensionality reduction(it still contains all valid infor
SOM
- SOM神经网络，可以进行特征提取和模式分类，特别是特征维数较多的情况-SOM neural network, feature extraction and pattern can be classified, more especially characteristic dimension of the case