实验结果表明，原点无关最近特征分类器在识别率、稳定性等方面均优于同阶的最近特征分类器。
Experimental results show that OINF classifiers are of higher recognition rate and more stable than NF classifiers.
盒维数的简单统计结果可以作为PQ神经网络分类器的输入特征量。
After simple statistics, the dimension can act as the input vector of ANN for PQ classification.
内容涉及声图像的预处理、纹理和形状特征的提取，以及分类器的设计等。
The contents in the paper include acoustic image preprocessing, feature extraction of texture and shape, and classifier design.
用这些特征构成句子向量表示，并用机器学习的方法对其进行训练得到器，从而把自动文摘转换为分类问题。
There are eight features used to form the feature vector for each sentence, and the summarizer is gained by machine learning algorithms, so automatic summarization is changed into classification task.
用BP人工神经网络分类器进行识别，结果表明矩特征的识别率较高，说明该方法具有良好的应用效果。
The recognition with BP artificial neural net grader shows that the recognition rate of moment features is rather high, this indicates that this method has better applicable effect.
该文详细讨论了基于HRRP的雷达自动目标识别的关键技术及研究现状，包括雷达hrrp的特性、预处理方法、特征提取方法及分类器设计方法等。
In this paper, we review the present research status and some key techniques in this field, including the property of HRRP, preprocessing methods, feature extraction and classifier design.
利用这些在任何语言的文本上都极易获得的特征，我们采用最大熵分类器构建了一个基准系统。
They are easily obtainable for almost any language. We build a baseline ne recognizer based on these features.
将其作为分类器的输入特征量，提出了一种基于极化合成的目标分类算法，并对实测极化SAR数据进行了分类实验。
Algorithm of target classification based on polarization synthesis is proposed, when it is acted as input value of classifier. Then, polarimetric SAR data is applied to classification experiment.
提出了一种基于特征空间划分的多分辨率分类器求解策略。
We propose a multi-resolution classification strategy based on the partition of feature space.
几何特征的加入使得小样本训练的粗分类器的应用成为现实，提高了眼睛检测的精度。
Then with the characteristics of symmetry of the eyes some of the geometric characteristics are adopted for correction .
特征量被预处理后，输入到集成bP神经网络分类器中分类。
Finally, the features are preprocessed, then classified by integrating BP neural networks.
把某一图像的某种特征进行度量并交给分类器，是模式识别的重要环节。
Measure some feature of one image and take it to classifier, this is an important step of pattern recognition.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
在机械故障诊断中，特征选择和分类器的参数优化都可以提高诊断精度。
Feature selection and parameters optimization of the fault classifier can enhance the fault diagnosis accuracy.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
本文对系统中的车牌定位和字符分割、特征提取、BP神经网络分类器等模块进行了较详细的研究。
In this paper, the system of license plate location and character segmentation, feature extraction, BP neural network classifier etc modules have had a more detailed research.
该文利用特征加权技术来增强朴素贝叶斯分类器。
In this paper, we investigate enhancement of naive Bayes classifier using feature weighting technique.
本文基于粗糙集理论探索特征加权技术对朴素贝叶斯分类器的改进。
In this paper, we investigate enhancement to naive Bayes classifier using feature weighting technique based on rough set theory.
然后根据裂缝的线性特征，设计分类器，得到包含裂缝及非裂缝的线性目标图。
At last, according to the line character we designed the classifier to obtain the object image including linear distress and nonlinear ones.
目标识别技术属于模式识别理论的研究范围，其关键在于特征提取和分类器的设计。
The target identification technology belongs to the research scope of the pattern recognition, its key lies in the characteristic withdraw and the sorter design.
用该方法提取纹理图像的特征，并使用加权欧式距离分类器来完成匹配工作。
We employ this method to extract the features of such texture image and use weighted Euclidean distance classifier to fulfill the matching and identification task.
完成了复杂背景图像中单个细胞的检出，形态特征的提取，BP分类器的设计。
The detection of single cell, extracting of morphological features in complex background image and design of BP sorter are finished.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
该结果说明：不同尺度下复杂性的差异可以作为图像分类的新方法或者作为现有分类器的特征。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
重点探索了以不同特征作为输入的组合多分类器方法。
This article has summarized current methods of combining multiple classifiers, and investigated on embodying different features as input vectors.
利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
Pattern classification of flaw is carried out with BP neural network and the feature selected.
文章对被动声纳目标识别的特征提取、特征选择和分类器设计方面进行了回顾。
The techniques of feature extraction, feature selection and design of classifier for passive sonar target recognition are reviewed.
首先基于差分图像和肤色信息检测出人脸，其次使用改进的奇异值分解方法提取面部特征，最后运用最小距离分类器进行识别。
First based on the difference image and the skin color the face is detected and localized, then features are extracted by using improved SVD, last the features is classified by minimal distance.
本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
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