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。
Its applications in pattern recognition and shape error evaluation are discussed.
最后探讨了它在模式识别和形状误差处理中的应用。
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。
Now it is applied in Pattern Recognition, regression estimate and probability estimate.
目前，主要应用在模式识别、回归估计、概率密度函数估计等方面。
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。
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。
Finally this paper point out application of relative entropy coefficient in pattern recognition.
最后指出了关联熵系数在模式识别中的应用。
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。
Presently it has been widely used in pattern recognition, function approximation and data mine etc.
目前，已被广泛应用于模式识别、函数逼近、数据挖掘等领域。
So that signals to be analyzed in pattern recognition and processing in the late take easy to some.
从而使待分析信号在后期易于识别及分析处理。
At last it introduces common classifier in pattern recognition, which includes Back-Propagation Network.
最后对模式识别中常见的分类方法做了的介绍。
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。
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。
In pattern recognition, regression estimates, the estimated probability density function, and other aspects of application.
在模式识别、回归估计、概率密度函数估计等方面都有应用。
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。
In general cases, the former can be approximated well to the latter, and it leads a new way in pattern recognition under the projective transformation.
在多数情况下，透射变换可以用仿射变换很好地近似，这为透射变换的目标识别指出了一条新的途径。
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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