For executives trying to make sense of a rapidly changing business environment, superiority in pattern recognition is perhaps the greatest competitive advantage that can be developed.
对于那些想搞清迅速变化的商业环境的经理人而言，卓越的模式识别能力或许是最大的可开发竞争优势。
Facial expression recognition is an active research area in pattern recognition.
人脸表情识别是模式识别领域中一个非常活跃的研究方向。
Neural network has been nicely applied in pattern recognition and hydrocarbon prediction in applied geophysics.
在应用地球物理领域中，人工神经网络在模式识别和油气预测方面得到了较好地应用。
Feature extraction is a basic problem in pattern recognition.
特征提取是模式识别的基本问题。
Syntax analysis plays an important role in pattern recognition.
句法分析是句法模式识别中的重要环节。
Invariant corner features are often used in pattern recognition.
拐点特征是模式识别中经常用到的一类不变量。
Feature extraction is one of the key problems in pattern recognition system.
特征提取是模式识别中的一个关键问题。
The iterative optimization algorithm is an important method in pattern recognition.
迭代最优化算法是模式识别中一种重要方法。
Detection of objects in images is often needed in pattern recognition and machine vision.
在模式识别与机器视觉中，常常需要进行图像中的物体检测。
Target recognition and tracking is a very important research area in pattern recognition.
目标识别和跟踪是模式识别领域的一重要研究内容。
Classification trees are often used in pattern recognition to speed up the classification.
模式识别中分类树方法可用于提高模式分类的速度。
The research direction has been the spotlight of the research in pattern recognition field.
计算机人脸识别技术的研究已经成为国内外模式识别领域研究的热点。
The recognition of scanned image of engineering drawing is very difficult in pattern recognition.
工程图纸扫描识别一直是模式识别中的难点问题。
The method is widely used in pattern recognition, data mining, and system recognition and control.
该方法已经应用在模式识别、数据挖掘、系统辨识与控制等领域。
Very recently, the sparse representation theory in pattern recognition arouses widespread concern.
稀疏表征理论在模式识别中的应用引起广泛的关注。
Thus, we not only reveal the inherent ability of PCNN, but also explore the applications of PCNN in pattern recognition.
这些算法不仅是对PCNN潜质的深度挖掘，同时也是对PCNN在模式识别应用中的有益探索。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
多分类器组合是解决复杂模式识别问题的有效办法。
For geometric invariance of the invariant moment, it has been used in pattern recognition, computer vision and image reconstruction.
不变矩的几何变换不变性特点，使其在模式识别、计算机视觉和图像重构中被广泛使用。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
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。
Cluster analysis is one of the means of multivate analysis and is widely used in pattern recognition, data mining and decision analysis etc.
聚类分析是多元统计分析的方法之一，广泛的应用在模式识别，数据挖掘和决策分析等领域。
We think that the use of proximities for representation, generalization and evaluation constitute the most intriguing issues in pattern recognition.
我们认为有关表示方法、推广及评估方法的应用构成了模式识别中最引人兴趣的问题。
Based on the volume holographic storage, a novel and easy method is proposed to realize rotation and shift invariance in pattern recognition system.
介绍一种在体全息相关识别中实现旋转不变性和位移不变性的一种简便方法。
As new technology of data mining, support vector machines (SVM) have been successfully applied in pattern recognition and regression problem, et al.
支持向量机作为数据挖掘的一项新技术，应用于模式识别和处理回归问题等诸多领域。
Off-line handwritten Chinese characters recognition is a popular research point in pattern recognition field, and it can be widely used in many areas.
脱机手写体汉字识别是当前模式识别领域的一个研究热点，具有广泛的应用前景。
Finally, this method is used to solve the recognition problem of human face images which is one of the most difficult problems in pattern recognition.
最后，我们将此方法用于解决图象识别中非常困难的人像识别问题。
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。
How to get the information and use efficient ways for fusion is an important topic in pattern recognition because there is a lot of information in images.
图像中蕴涵着丰富的信息，如何获取这些信息并采用有效的手段进行融合是模式识别中的一项重要课题。
How to get the information and use efficient ways for fusion is an important topic in pattern recognition because there is a lot of information in images.
图像中蕴涵着丰富的信息，如何获取这些信息并采用有效的手段进行融合是模式识别中的一项重要课题。
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