搜索资源列表
Classification-MatLab-Toolbox
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值-pattern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
PPCAALDAVCCcoC
- PCA+LDA的图像识别算法Vissual C封装类，可用于模式识别等 -PCA+LDA image recognition-algorithm Vissual C wrapper class can be used for pattern recognition
hLDAAandPCCAe
- 站长！这是使用LDA与PCA模式识别方法对人脸特征进行提提取计算的Matlab程序源码框架，比较好！ 可直接使用。 -Webmaster! This is the use of LDA and PCA pattern recognition method of facial feature to mention take calculated Matlab program source framework and better! Can be used directly.
Pprtools317a
- 模式识别 MATLAB 的工具箱,比较实用,包括SVM,IICA,PCA,NN等等模式识别算法.，已通过测试。 -MATLAB toolbox of pattern recognition, more practical, including SVM, IICA, PCA, NN pattern recognition algorithms. Has been tested.
Classification-MatLab-Toolbox
- matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
faimun
- 利用matlab写成的窄带噪声发生，结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别。- Using matlab written narrowband noise occurs, Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition.
PCA_ris
- 基于PCA法的Iris数据分类，最小距离法，模式识别-Iris PCA based data classification method, the minimum distance method, pattern recognition
penghun_v70
- 完整的基于HMM的语音识别系统，BP神经网络用于函数拟合与模式识别，借鉴了主成分分析算法（PCA）。- Complete HMM-based speech recognition system, BP neural network function fitting and pattern recognition, It draws on principal component analysis algorithm (PCA).
be451
- 对于初学matlab的同学会有帮助，模式识别中的bayes判别分析算法，是学习PCA特征提取的很好的学习资料。- Matlab for beginner students will help, Pattern Recognition bayes discriminant analysis algorithm, Is a good learning materials to learn PCA feature extraction.
rzcrgnition
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
04825210PCA1
- 对碰撞信号特征进行降维和聚类分析，提高分类精度(Reducing dimension and clustering analysis of collision signal features to improve classification accuracy)