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Description: K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code
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Size: 3072 |
Author: lilei |
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Description: 一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
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Size: 1024 |
Author: 祁利民 |
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Description: 图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bayes classifier, a linear function of classification, non-linear function of classification, neural network classification) to identify any number of handwritten digits 0-9 and digital images, including the design of training samples library, you can choose a variety of classifier to identify the 10 Arabic numerals identify the 0-9, including temporary handwritten figures also include the number of pictures
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Size: 541696 |
Author: yao |
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Description: ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option).
It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier
-ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option).
It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier
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Size: 4096 |
Author: saadat |
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Description: C语言K近邻分类器KNN,有5个简单的例子供学习-knn classifier in C,5 simple examples are included
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Size: 31744 |
Author: 陈思敏 |
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Description: Training of the basic linear classifier where seperation hyperplane
is perpedicular to one dimension.-TRAINING THRESHOLD CLASSIFIER
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Size: 1024 |
Author: qqxiaoya |
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Description: bayes分类器，脱机手写识别，含实验数据-bayes classifier, off-line handwriting recognition, with the experimental data
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Size: 497664 |
Author: 风铃 |
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Description: fuzzy classifier induction motor failures
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Size: 106496 |
Author: Paweł |
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Description: 包含模式识别里很多函数的实现，分类器，KNN算法等，对学习者很有帮助-Include pattern recognition where a lot of function implementation, classifier, KNN algorithm, useful for learners
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Size: 651264 |
Author: zoukui |
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Description: Bayes分类器算法设计的matlab码 注释详细
大家一起学习啊-Bayes classifier algorithm design of the matlab code comment in detail with everyone to learn ah
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Size: 2048 |
Author: zm |
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Description: pnn分类器算法，用MATLAB源码，可以进行分类。-pnn classifier algorithm, using MATLAB source code can be classified.
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Size: 1024 |
Author: wasd |
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Description: k nearest neigbours classifier
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Size: 1024 |
Author: ruba |
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Description: Bayesian Classifier - matlab procedures Bayesian Classifier - matlab-way Bayesian Classifier - matlab program
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Size: 1048576 |
Author: salih turab |
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Description: A Sample for a Baysian Classifier
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Size: 135168 |
Author: shojaei |
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Description: Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.-Abstract—This paper proposes a new technique for face detection
and lip feature extraction. A real-time field-programmable
gate array (FPGA) implementation of the two proposed techniques
is also presented. Face detection is based on a naive Bayes classifier
that classifies an edge-extracted representation of an image. Using
edge representation significantly reduces the model’s size to only
5184 B, which is 2417 times smaller than a comparable statistical
modeling technique, while achieving an 86.6 correct detection
rate under various lighting conditions. Lip feature extraction uses
the contrast around the lip contour to extract the height and width
of the mouth, metrics that are useful for speech filtering. The
proposed FPGA system occupies only 15 050 logic cells, or about
six times less than a current comparable FPGA face detection
system.
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Size: 28409856 |
Author: ramanaidu |
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Description: In this paper, we show how support vector machine (SVM) can be
employed as a powerful tool for $k$-nearest neighbor (kNN)
classifier. A novel multi-class dimensionality reduction approach,
Discriminant Analysis via Support Vectors (SVDA), is introduced by
using the SVM. The kernel mapping idea is used to derive the
non-linear version, Kernel Discriminant via Support Vectors (SVKD).
In SVDA, only support vectors are involved to obtain the
transformation matrix. Thus, the computational complexity can be
greatly reduced for kernel based feature extraction. Experiments
carried out on several standard databases show a clear improvement
on LDA-based recognition
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Size: 2048 |
Author: sofi |
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Description: This a very good paper on the implementation of modulation classifier for SDR-This is a very good paper on the implementation of modulation classifier for SDR
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Size: 525312 |
Author: canbruce luwang |
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Description: Naive Bayesian Classifier
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Size: 35840 |
Author: bigblue.bubble1 |
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Description: A Fuzzy classifier using matlab, c++ and delphi. the source code has merged codes developed by these programming languages to do classification.
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Size: 25600 |
Author: amir |
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Description: 利用matlab实现的基于EM算法的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
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Size: 11264 |
Author: satanwings |
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