Description: 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 Platform: |
Size: 630772 |
Author:zsq |
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Description: DNA分类,包含三中模式识别经典算法的实现:K紧邻,BP神经网络,概率神经网络。-DNA classification, which includes three classic pattern recognition algorithm to achieve : K borders, BP neural networks, probabilistic neural network. Platform: |
Size: 192512 |
Author:郭瑞杰 |
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Description: BP神经网络(主要用于函数拟合与模式分类)Matlab的示例程序-BP neural network (the main function for the fitting and pattern classification) Matlab sample program Platform: |
Size: 2048 |
Author:胡维刚 |
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Description: RBF模拟神经网络(主要用于函数拟合与模式分类)Matlab的示例程序-RBF simulated neural network (the main function for the fitting and pattern classification) Matlab sample program Platform: |
Size: 1024 |
Author:胡维刚 |
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Description: 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 Platform: |
Size: 630784 |
Author:zsq |
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Description: 一个模式分类的工具箱,matlab语言实现,对模式识别相关方向的人很有用-pattern classification of a toolbox, Matlab language, pattern recognition related to the direction of useful Platform: |
Size: 353280 |
Author:liu yang |
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Description: 是我的模式识别的作业,可以成功的分类iris数据,大家可以-is my pattern recognition operations, the classification can be successful iris data, we will look at Platform: |
Size: 1024 |
Author:kenty |
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Description: 模式识别作业——用平均样本法,平均距离法,最近邻法和K近邻法进行分类-pattern recognition operations-- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification Platform: |
Size: 2048 |
Author:hiamy0313 |
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Description: bp网络训练源代码,可用于参数识别,模式分类,如损伤识别,故障诊断等-bp network training, the source code can be used for parameter identification, pattern classification, such as damage detection, fault diagnosis, etc. Platform: |
Size: 2048 |
Author:zgsun |
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Description: 用matlab语言写的ID3(Quinlan s ID3 classification tree algorithm)算法,用于模式分类-Matlab language used to write the ID3 (Quinlan s ID3 classification tree algorithm) algorithm for pattern classification Platform: |
Size: 1024 |
Author:罗升阳 |
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Description: 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still containing the essential
features and serving as a prototype for many applications.
Topics discussed include nearest neighbor, kernel, and histogram
methods, Vapnik–Chervonenkis theory, and neural networks. The
presentation and the large (thogh nonexhaustive) list of references
is geared to provide a useful overview of this field for both
specialists and nonspecialists.-Summary of pattern recognition learning. The paper for English 303 references. Very readable value. Abstract-Classical and recent results in statistical patternrecognition and learning theory are reviewed in a two-classpattern classification setting. This basic model best illustratesintuition and analysis techniques while still containing the essentialfeatures and serving as a prototype for many applications.Topics discussed include nearest neighbor, kernel, and histogrammethods, Vapnik-Chervonenkis theory, and neural networks. Thepresentation and the large (thogh nonexhaustive) list of referencesis geared to provide a useful overview of this field for bothspecialists and nonspecialists. Platform: |
Size: 821248 |
Author:蒋大为 |
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Description: 模式识别ppt。R. O. Duda的那本Pattern Classification 模式识别红宝书配套ppt-Pattern Recognition ppt. RO Duda was the Little Red Book Pattern Classification Pattern Recognition matching ppt Platform: |
Size: 6167552 |
Author:fancyiyang |
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Description: 利用Sub-pattern PCA在Yale人脸库上进行人脸识别的matlab源代码,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-pattern PCA use in the Yale face database for face recognition on the matlab source code, sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the establishment of sub-image set, in each sub-image Set the use of PCA to extract the features, the establishment of sub-space. Treatment to identify images, by the same block, the respective sub-image to the corresponding sub-space projection, feature extraction. Finally, according to the principle of nearest neighbor classification. Platform: |
Size: 2048 |
Author:章格 |
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Description: Duda《模式分类》第二版第1、3、5章部分课后习题和上机题的解答和程序代码-Duda pattern classification, the second edition of the first chapter 1,3,5 some after-school exercises and answers questions on the machine and program code Platform: |
Size: 71680 |
Author:yuhua |
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Description: Classification MatLab Toolbox一个很好的图像处理界面,它能够使用很多算法进行模式识别分类-Classification MatLab Toolbox a good image processing interface, it can use many algorithms for pattern recognition classification Platform: |
Size: 630784 |
Author:秦风 |
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Description: duda第二版 模式分类书的课后练习的全matlab仿真文件-duda s pattern classification second edition of the book exercises full matlab simulation file Platform: |
Size: 948224 |
Author:hsf |
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