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classification using
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  分类算法
     This thesis improves tumor classification using gene expression data method in two aspects: classification algorithm and feature selection.
     针对基于基因表达数据的肿瘤分类,本文从分类算法和特征基因选择两个方面进行了改进。
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     This thesis improves classification using gene expression data method in two aspects: feature selection and SVMs classification algorithm.
     针对基于基因表达数据的分类,本文从特征基因选择和支持向量机分类算法两个方面进行了改进。
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     The Research on Classification Using Statistic and Its Application to Forecast Latent Customers
     基于统计的分类算法及其在潜在客户识别中的应用研究
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     News video classification using multimodal classifiers and text-biased combination strategies
     “文本为主”的多模态特征融合的新闻视频分类算法
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     Packet Classification Using Parallel Regional Partition
     并行区域分割包分类算法
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  “classification using”译为未确定词的双语例句
     Gene Pattern Extraction Based on PICA and Classification Using Boosting
     基因模式的PICA获取及基于Boosting的模式分类
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     The results of classification using learning sample were as follows:sensitivity was 82.76% and specificity was 74 26%;
     以学习集的分类结果为 :灵敏度为 82 76 % ,特异度为 74 2 6 % ;
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     Research and Application of the Decision Tree Classification Using MODIS Data
     基于MODIS数据的决策树分类方法研究与应用
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     Optimized BP neural network classifier based on genetic algorithm for land cover classification using remotely-sensed data
     基于遗传算法优化的BP神经网络遥感数据土地覆盖分类
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     Through analyzing the influence of the learning samples’ location in the spectral space on the accuracy of multi spectral remote sensing image classification using BP neural network, a method for learning samples selection based on x 2 distribution was presented and used in TM image classification.
     通过分析多光谱遥感图像学习样本在光谱空间不同位置对BP神经网络分类器分类精度的影响,提出基于x2 分布的学习样本选取方法,并应用于TM 图像分类.
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     ·classification.
     ①对地震层析成像方法进行分类.
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     Using the B. E.
     运用B.E.
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     Using H.P.
     采用 H.P.
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     Classification of muffler using in industry
     工业用消声器的分类
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     On Classification of
     ω_(2,2g/(3+2))~2的分类
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  classification using
Single-trial EEG classification using in-phase average for brain-computer interface
      
A technique has been suggested for processing spectra of acoustic emission (AE) signals based on a signal classification using shapes of normalized spectral density curves.
      
Coronary plaque classification using intravascular ultrasound
      
The experiments show that data classification using this method is simpler in the structure, and can improve the efficiency of classification.
      
Accurate wet-type centrifugal classification using an almost rigidly rotating flow - classification principle and performance of
      
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In this paper,a recognition scheme based on preliminary classification using black

本文提出采用笔划密度对汉字集进行预分类并取其X—Y 轴上轮廓投影主频分量之幅值谱进行识别的方案。本方案具有下列优点:(1)笔划密度预分类法与其它方法相比,其程序少,算法简便。(2)当字形位置作适当变化时,主频分量幅值谱具有不变之特征。(3)信息量大为压缩。本文提供了304个汉字集在Wang-2200系列MVP 型计算机上模拟试验的结果。

The main objective of the investigation is an evaluation of the method and effect of regional environmental synthetic analysis based on LANDSAT CCT data digital processing technique. Some distinct data handling methods for corresponding special natural environmental characteristics were undertaken in order to obtain expectant interpreting effects on environmental background. Here three types of data enhancement techniques, linear density slicing,, uniform distribution and local stretch were adopted. Colour composites...

The main objective of the investigation is an evaluation of the method and effect of regional environmental synthetic analysis based on LANDSAT CCT data digital processing technique. Some distinct data handling methods for corresponding special natural environmental characteristics were undertaken in order to obtain expectant interpreting effects on environmental background. Here three types of data enhancement techniques, linear density slicing,, uniform distribution and local stretch were adopted. Colour composites generated from these enhancement processings provided clearer resolution, better definition of boundaries and more information. Besides, automated classifications using computer imagery processing program from STC/IIS 101 system were tested, and finally computer land cover classifying picture participated with visual interpretation was drawn. The three types of enhancement colour composites mentioned above, which was output respectively on the colour screen of monitor, displayed different effects on the interpretation.However, colour composites of uniform distribution and local stretch have special value in explaining environmental background. For example, the objectivees on the land surface, such as arid cultivated land, irrigated land, residential area of village or city, drainage system including pond, reservoir and river etc., and the sand spit in the mouth of the HAI RIVER, diffusion of industrial smoke and so on can be clearly recognized on the colour composite imagery of uniform distribution stretch. And the fine structure of the water surface is particularly clear on the colour composite imagery of the local enhancement. More information on the ocean surface along the coast of BO-HAI BAY, water surface of BEI-DA-GANG reservoir and circumstances of salt pool at the eastern coast of TANG-KU city are visible too. Therefore they are useful stretch techniques, which improves the brightness contrast of the original imagery and obtains more valuable information than the original imegery for the interpreter.Afterword, three types of cluster, minimum distance and maximum likelihood algorithm classifications were undertaken at this region. The best result that was verified by comparing with visual interpreting of the main types of land cover on streching imagery belongs to unsupervised cluster classifying technique.There are only eight classes displayed by different colours on the colour imagery of cluster classification. Finally, the result of land cover interpreting map was produced by combining visual explanation with the computer colour output of cluster classification. Land cover interpreting picture containing about sixteen types of three classes was drawn on colour imagery of computer automatic cluster classification

陆地卫星数字数据经计算机图象增强和分类处理,可获得多种增强影象和土地复盖分类图等。本文探讨了对上述各种计算机彩色图象的分析方法及其在环境背景研究中的作用和效果。

This paper introduces and justifies the evaluation of classification using the normal distribution model which is the most fundamental one in the probability distribution functions. Then it puts forward the design method of classifying map content using the principle of normal distribution. In a concrete example, the author adopted two control areas in the course of design and dealt with the non-equal intervals the way for the equal intervals to make it more widely applicable. Finally taking the...

This paper introduces and justifies the evaluation of classification using the normal distribution model which is the most fundamental one in the probability distribution functions. Then it puts forward the design method of classifying map content using the principle of normal distribution. In a concrete example, the author adopted two control areas in the course of design and dealt with the non-equal intervals the way for the equal intervals to make it more widely applicable. Finally taking the χ~2 distribution function as an example, the author further suggested a designing method of classification using other distribution functions to meet the needs of some special classification needs.

本文在介绍应用概率分布函数中最基本的正态分布来评价地图内容分级方案合理性的基础上,提出了用正态布原理设计地图内容分级的方法。结合具体实例,在设计过程中采用了两个控制域的方法,並对不等分级间隔采用假设等分级间隔处理,使之更适合普遍应用。最后,以x~2分布函数为例,进一步提出了应用其它分布函数设计分级方案的方法,使之符合某些特殊的分级要求。

 
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