模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
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。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
作者交替运用聚类分析与模式识别法，并结合工厂的实际情况，取得了很好的分类效果。
We have achieved excellent effect in part classification according to the actual conditions of factories, alternately using the method of cluster analysis and pattern recognition technique.
针对雷达转发式欺骗干扰中的距离欺骗，提出了一种基于模式分类来识别目标与干扰的方法。
Aiming at the deception in distance of radar's transmitting deceptive jamming, this paper advances a method, based on mode classification, to recognize the object and jamming.
实验结果表明，这种方法可以对金属断口模式进行准确的识别与分类。
A new method of recognition and classification of metal fracture surface models based on wavelet transform is presented in the paper.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
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.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
现已在图像处理、人工智能、计算机识别、模式识别与分类、故障检测等方面得到了广泛应用。
Edge detection has been extensively applied in a lot of fields, such as image processing, artificial intelligence, computer recognition, pattern recognition and classification, fault detection etc.
提出一种H . 264编码中帧间模式选择的算法，利用帧与帧之间的时间相关性并提出通过模式识别中统计分类的方法对帧间宏块模式进行分类。
In this paper, we have proposed an inter-mode selection algorithm for H. 264, which is based on the time-relativity of the neighboring frames and adopts the idea of statistic classification.
提出一种H . 264编码中帧间模式选择的算法，利用帧与帧之间的时间相关性并提出通过模式识别中统计分类的方法对帧间宏块模式进行分类。
In this paper, we have proposed an inter-mode selection algorithm for H. 264, which is based on the time-relativity of the neighboring frames and adopts the idea of statistic classification.
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