The brain is a pattern-recognition machine, after all, and when focused properly, it can quickly deepen a person's grasp of a principle, new studies suggest.
新的研究建议，大脑是一个模式识别机器，所以当注意力适当的集中时，它能立刻加深一个人对本质把握，更好的是，能自动建立感知感知；
Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.
物体的形状识别是模式识别的重要方向，广泛应用于图像分析、机器视觉和目标识别等领域。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Her current research interests include biometrics, pattern recognition, machine learning and image processing.
研究方向：生物特征识别，模式识别，机器学习和图像处理等。
A novel method of pattern recognition and fault diagnosis in electrical machine based on the wavelet-neural network is proposed according to the frequency spectrum characteristics of vibration signal.
针对电机振动信号的频谱特点，提出基于小波神经网络技术的电机故障模式识别与诊断的新方法。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我已经感兴趣的领域(包括人工智能，机器学习，自然语言处理，和模式识别)大量的使用到数学。
In this paper, the problem of statistic pattern recognition converted into the problem of the best hypothesis test of risk which can be used to judge whether the machine is in normal operation or not.
本文将统计图形识别问题转化为风险的最佳假设检验问题，并用之于对机器运行是否正常的判断。
LSAW pipe; Image processing; Pattern recognition; Machine vision; Ellipse.
直缝焊管；图像处理；图形识别；机器视觉；椭圆。
Image and video processing, computer vision, machine learning, and pattern recognition.
图像和视频处理，计算机视觉，机器学习，和模式识别。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
As an effect tool of pattern recognition and data processing, rough set theory (RST) and support vector machine (SVM) have become the focus of research in machine learning.
粗糙集理论(rst)与支持向量机(SVM)作为模式识别，数据处理的有效工具，已成为机器学习的研究热点。
Realizing the automatic pattern recognition by computer is a key breakthrough of intelligence machine developing.
用计算机实现模式的自动识别，是开发智能机器的一个最关键的突破口。
The edge detection of numeric picture has a very important function in the image segmentation, pattern recognition, and machine vision and so on.
数字图像的边缘检测在图像分割、模式识别、机器视觉等中有很重要的作用。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
支持向量机是统计学习理论的一个重要学习方法，也是解决模式识别问题的一个有力工具。
This method can also be applied to fuzzy pattern recognition on fruits, machine parts etc.
该方法同样适用于果品、机械工件等对象的模糊模式识别。
Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.
物体的形状识别是模式识别的重要方向之一，广泛应用于图像分析、机器视觉和目标识别等领域。
For me, I've noticed that a few domains I've always been interested in (including artificial intelligence, machine learning, natural language processing, and pattern recognition) use a lot of math.
对我来说，我已经注意到一些我感兴趣的领域(包括人工智能，机器学习，自然语言处理和模式识别)大量用到数学。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
由于模式识别、机器学习等问题的复杂性比较高，数据分布通常呈现多模态分布。
Offline machine printed character recognition, an important branch of pattern recognition, is one of the vitalest parts of intelligent interface.
脱机印刷体文字识别技术是模式识别研究领域的一个重要分支，是计算机智能接口的重要组成部分。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
One great book, which is also on the web, is Pattern recognition and machine learning by c.
一本伟大的书，也在网络上，是模式识别与机器学习c。主教。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
支持向量机是统计学习理论的一个重要的学习方法，也是解抉模式识别问题的一个有力的工具。
Rough Set, as one of the Granular computing's three main models, have attracted much attention since its 'born and has a broad application on machine learning, pattern recognition and other fields.
粗糙集理论作为粒度计算的三大模型之一，自产生起就备受关注，并已广泛应用与机器学习、模式识别等领域。
Currently, Manifold learning gradually becomes a hotspot in the field of machine learning and pattern recognition.
月前，流形学习渐渐成为机器学习及模式识别领域中的一个研究热点。
Feature selection is an important issue in the fields of machine learning and pattern recognition. The effectiveness of feature directly affects the design and performance of the classifier.
特征选择问题是机器学习和模式识别中的一个重要问题，特征的优劣直接影响分类器的设计和性能。
At present, manifold learning has become a hot issue in the field of pattern recognition, machine learning and data mining.
目前，流形学习已成为模式识别、机器学习和数据挖掘领域的研究热点问题。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
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