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PatternClassification_chapter2
- duda pattern classification 第二章部分习题解答,duda chapter answers some of Exercises
duda-hart-stork-chapter2
- Pattern Classification duda hart stork chapter2
Classification_of_Age_Groups
- An age group classification system for gray-scale facial images is proposed in this paper. Four age groups, including babies, young adults, middle-aged adults, and old adults, are used in the classification system.
12121
- 一种多进制频移键控信号的调制分类及解调方法结束后，返 回到BCP继续呼叫处理的终结点。 -An MFSK signal modulation and demodulation method of classification after the call to return to the BCP continues to deal with the end point.
AerialImageClassificationMethodBasedonFractalTheor
- 提出一种基于分形理论和BP 神经网络的航空遥感图像有监督分类方法。该方法尝试将航空图像 的光谱信息和纹理特征相结合。它首先将彩色航空图像由RGB 格式转化为HSI 格式,然后,根据亮度计算分 数维、多重分形广义维数谱q-D( q) 和“空隙”等基于分形的纹理特征,同时加入归一化的色度和饱和度作为光 谱特征,采用BP 神经网络作为分类器。通过对彩色航空图像的分类实验,结果证实该方法行之有效。-Based on fractal theory and BP neural network
classification
- 在具有模式的完整统计知识条件下，按照贝叶斯决策理论进行设计的一种最优分类器。分类器是对每一个输入模式赋予一个类别名称的软件或硬件装置，而贝叶斯分类器是各种分类器中分类错误概率最小或者在预先给定代价的情况下平均风险最小的分类器。-In a model under the condition of complete statistical knowledge, in accordance with the Bayesian decision theory to design an optimal c
Texture_Classification_With_Linear_Regression_Mode
- 基于小波分析，使用线性回归模型来进行纹理的识别和分类，是08年IEEE TRANSACTION的经典文献。-Based on wavelet analysis, the use of linear regression model for texture identification and classification, 2008 IEEE TRANSACTION are classic literature.
Moving_Target_Classification_and_Tracking_from_Rea
- 这是一篇有关运动目标分类的英文文献。这篇文献以离散度作为分类特征，利用时间一致性，提高了分类性能。内容也不是很深奥，相信对初学者有较大的帮助。-This is an article on the classification of moving targets in English literature. This dispersion in the literature as the classification features, use of time consistency, impro
Tracking_and_Object_Classification_for_Automated_S
- O.Javed and M.Shah. 《Tracking and object classification for automated surveillance》. 这篇英文文献是有关运动目标检测跟踪及其分类的文章。该文利用“人体运动的周期性”，把运动目标分为人、人群、机动车。具有较强的参考价值。-O. Javed and M. Shah. " Tracking and object classification for automated surveillance" .
Tracking_and_classifying_moving_objects_from_video
- Q. Zhou, J.K. Aggarwal. Tracking and Classifying Moving Objects from Video. 这篇文章另辟蹊径，利用“紧凑度值的变化、运动方向的变化”，区分人、人群、机动车。达到良好的分类效果。是运动目标分类领域的好文章。-Q. Zhou, JK Aggarwal. Tracking and Classifying Moving Objects from Video. This article open a new path, by us
Object_Classification_and_Tracking_in_Video_Survei
- Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. 这篇文章是有关多运动目标分类的文章。使用常用的长宽比作为分类特征，结合角点特征。提高了人车的分类效果。-Zang, Q. and Klette, R. Object Classification and Tracking in Video Surveillance. This article is about the many obj
Gaussian_Mixture_Models_and_Probabilistic_Decisio
- very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document -very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classificatio
Advancedmethodsfortwo-classpatternrecognition
- 指纹程序的分类，老外写的，IEEE上的很有价值！希望有所帮助！-Procedures for the classification of fingerprints, written by a foreigner, IEEE valuable on! Want to help!
bp
- 利用bp神经网络对遥感图像进行分类，输入样本值后，根据样本值对遥感图像不同的地物进行分类，分类后计算每种地物所占面积-The use of bp neural network classification of remote sensing images, enter a sample value, based on the sample value of the different features of remote sensing image classification, classif
AnApproachToTheNeuralNetworkBasedDataMining
- 针对数据挖掘中的分类问题，本文提出了一种利用神经网络抽取分类规则都方法。为了易于抽取规则，采用遗传算法对神经网络的结构进行了进化。实际运行结果表明了该方法的有效性。-Classification is an inportant problem in data mining.This paper presents an approach to discover classification rules by using neural networks.Genetic algorithms is u
High_Accuracy_Classification_of_EEG_Signal
- 里面有了巧妙的方法提高了脑电信号分类准确性，有做EEG分类的可以看看。-There has been a clever way to improve the classification accuracy of EEG, and EEG classification can be done to see.
icassp99
- 利用时-频方法实现调制信号的识别，并给出正确识别率-CLASSIFICATION OF MODULATION MODES USING TIME-FREQUENCY METHODS
Classification
- this is implementation of classification problem with fuzzy.
fourierdescrptoralg
- fourier descr iptor for image processing computer vision to describe shape for classification-fourier descr iptor for image processing computer vision to describe shape for classification
Text-Classification-Using-Naive-Bayes
- This file details bayesian classification theorem in artificial intelligence