A method of speaker recognition based on sub-band processing and multi-classifier combination is presented.
提出了一种基于子带处理多分类器融合的说话人识别方法。
As a common method, Multi-classifier combination falls across challenges no matter that in series or in parallel, or even be mixture of both.
组合分类方法是行人检测中常用的方法，但是无论是串联还是并联的方法，甚至串联和并联相结合的方法，都在行人检测中遇到了挑战。
This paper analyzes the factors affecting the accuracy of classifier, and designs three methods combining multi-classifier based on their performance on test corpus.
本文分析了影响分类器精度的因素，并提出了三种基于在测试例集上分类表现效果的多分类器融合方法。
After comprehending and analyzing the various classifiers and integration of multi-classifiers, a new method of multi-classifier ensemble is presented in this paper.
本文在理解和分析各种分类器以及分类器集成方法的基础上提出了一种新的多分类器集成的方法。
The objective of multi-classifier combination is to make use of each classifier"s good qualities in recognition performance and gains higher recognition rate than each classifier."
多分类器组合的目的是希望能够充分发挥每个分类器在各自分类性能上的长处，以获得比任何单独分类器都要高的识别率。
In order to improve the aviation structure's damage identification accuracy and rate, a multi-agent decision fusion based on the mutual information classifier selection is proposed in this paper.
为了提高航空结构的损伤识别精度和速度，提出了一种基于互信息分类器选择的多主体决策融合方法。
A new type of multi stage cone spiral classifier was developed.
研制了一种新型多段圆锥螺旋分级机。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
By experiments, the method can be used as classifier when the multi-parameters are dynamic correlation, and it has special use in the field of information fusion.
通过若干应用例子测试表明，该方法适用于具有多元动态相关特征问题的分类，在信息融合领域中有独到的用处。
An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.
提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。
In order to improve network performance, the adaptive alert parameters was applied to optimize the network, and Multi-SFAM compounded classifier was used to overcome the classification defect.
为了改善网络性能，采用自适应警戒参数的方法对网络进行优化；采用多SFAM分类器集成复合的方法克服分类缺陷。
In chapter 3, the method of multi classifier combination based on different pattern features is studied.
第三章，研究了基于不同模式特征的多分类器联合方法问题。
Then we review multi-class classifiers commonly adopted and propose a multi-class classifier based on analytical center of version space.
同时在分析现有多类分类机器不足的基础上，提出了一种基于可行域解析中心的多类分类器。
This paper proposes an image multi-orthogonal projection method for face recognition based on least class distance classifier.
论文提出了基于图像多路正交投影和最小距离分类器的人脸识别方法。
A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.
提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。
A new method of designing the classifier for intrusion detection is proposed based on neural networks, which is the alternative covering algorithm of multi-layer neural networks.
文章提出了一种应用人工神经网络进行入侵检测分类器设计的新方法，即采用多层前向网络的交叉覆盖算法进行入侵检测分类器的设计。
The test shows that multi-scale Lempel-Ziv complexity can be used as an image classification method or as a feature of image classifier.
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 results show that the aircraft spare parts multi-class classifier is efficient and feasible.
结果表明，基于最小二乘支持向量机的飞机备件多元分类方法是有效、可行的。
A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
The twin screw extruder fault diagnosis by multi-fault classifier based on SVM is mainly discussed and the retest proves that this SVM really has preferable ability of classification.
诊断实例表明，基于支持向量机的多故障分类器对设备故障具有很好的分类效果。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
并利用训练后得到的网络作为分类器设计并实现了一种多级策略的汉字识别系统。
ICF can classify unknown samples as the traditional classifier. It also has some functions such as multi-experts decision, pre-classifying and learning.
智能分类器不但可以对未知样本进行分类识别，还具有多专家决策、预分类、学习等功能。
Multi-layer classifier Topic search engine Computer education resources Naive Bayes;
多层分类器； 垂直搜索引擎；计算机教育资源；朴素贝叶斯；
Multi-level weighted fuzzy classifier is proposed.
④多级加权模糊分类器的提出。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
The concept of attribute similarity is presented to solve the weight problem of multi-dimension object classification, and cloud classifier based on attributes similarity is presented also.
提出了属性相似度概念解决高维对象分类的权重问题，并结合云理论建立了基于属性相似度的云分类器。
Via abstracting this pre-information, the blindness of choosing the classifier can be reduced and existing method of multi-classification can be advanced to improve their accuracy of classification.
第四，利用闭凸包收缩原理和特征空间分离度量方法对决策树多类分类算法进行了改进。
Training the multi-fault classifier only needs a small quantity of fault data samples in time domain, and does not need signal preprocessing for extracting signal features.
应用结果表明，不必进行信号预处理以提取特征量，只需要用少量的时域故障数据样本建立故障分类器。
Thirdly, Learning Classifier system is applied to multi-robot system.
第三，研究了学习分类器系统在多机器人学习中的应用。
Thirdly, Learning Classifier system is applied to multi-robot system.
第三，研究了学习分类器系统在多机器人学习中的应用。
应用推荐