敏感图像过滤属于图像模式识别问题。
The filtering of erotic images belongs to the image pattern recognition.
该方法也可用于解决其它模式识别问题。
The new method can also be applied to other pattern recognition problems.
雹云识别是一个多参数的模式识别问题。
Hail cloud recognition is a pattern recognition problem of multiparameter.
多分类器联合是解决复杂模式识别问题的有效办法。
A combination of multiple classifiers is a powerful solution to the difficult pattern recognition problem.
多分类器联合是解决复杂模式识别问题的有效办法。
A combination of multiple classifiers is a powerful solution to difficult pattern recognition problem.
多分类器组合是解决复杂模式识别问题的有效办法。
Multiple classifiers ensemble is an effective method to solve complex classification problems in pattern recognition field.
通信信号的分类识别是一种典型的统计模式识别问题。
The classification and identification of communication signal is a typical statistical pattern identification.
矿山开采引发的灾害评估问题可以看作是一个模式识别问题。
The evaluation of mine disaster can be regarded as a problem of pattern identification.
测井解释过程中的油气水层识别实质是一个模式识别问题。
Oil/Water mixed layer logging interpretation method in Sabei development area;
人脸识别实质是稀疏超高维空间、典型的小样本模式识别问题。
Face recognition is essentially a typical small-sample pattern recognition problem in sparse hyper-high dimensional space.
其次，基于BP神经网络，对控制图的模式识别问题进行了研究。
Secondly, pattern recognition for control chart is researched based on the BP neural network.
在属性测度概念的基础上，运用属性聚类网络方法解决模式识别问题。
Based on concepts of attribute measurement, we used attribute clustering network approach to resolve some problems of pattern recognition.
利用图像处理技术完成织物疵点检测是一个纹理特征提取和模式识别问题。
Fabric defect inspection using image processing technology is a problem of extracting of textural features and pattern recognition.
许多实际的模式识别问题如对手写体汉字的识别，都属于大规模的模式识别问题。
Many practical pattern recognition problems, such as recognition of handwritten Chinese characters belong to the pattern recognition problems of large scale.
平面曲线形状识别是最基本的模式识别问题，然而这个问题至今仍然未能很好地解决。
Shape recognition of planar curves is a fundamental problem of pattern recognition. But it has not been well resolved by now.
通信信号调制类型的分类识别是一种典型的模式识别问题，它涉及到很多复杂的因素。
The classification of modulation types of communication signals is a problem of typical pattern recognition. It involves many perplexing factors.
实验结果揭示了所提算法是解决大规模模式识别问题的一个有效且具有良好前景的方法。
Experimental result show that the proposed algorithm is competent and has well prospects to this set of problems.
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。
Support Vector Machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition.
将复杂背景下的小目标检测问题看作是在大量相似模式中寻找某个特殊模式的模式识别问题。
Small target detection in complex background is considered as a problem of finding the special patterns in similar patterns.
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。
Support vector machine (SVM) is an important learning method of statistical learning theory, and is also a powerful tool for pattern recognition problems.
在完成本书的学习后，你将可以编写代码来使用神经网络和深度学习来解决复杂的模式识别问题。
After working through the book you will have written code that USES neural networks and deep learning to solve complex pattern recognition problems.
BAM神经网络具有模型和算法简单的特点，是作为类似模式识别问题研究的一种较好的工具。
BAM neural network has such features as simple model and algorithm, so it can be used as a better tool for the research similar to pattern recognition. Neural network is...
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.
神经网络对于解决模式识别问题来说，可以实现特征空间较复杂的划分，适合于高速并行处理系统来实现。
To solve the pattern recognition problems, the neural network can achieve the involved demarcate of earmark space, and it cut out for high acceleration and parallel systems to achieve.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
针对数字信号调制模式识别问题，提出了运用高阶累积量和二叉树支持向量机(SVM)进行自动识别的算法。
Applying high order cumulants and support vector machines (SVM), an algorithm is proposed for automatic recognition of digital communication signals.
因此，我们从不确定性推理的角度研究模式识别问题，从而揭示各种模式识别方法的统一的本质，就显得非常有意义。
So, we study the pattern recognition problems from the view of uncertainty reasoning and reveal the nature of various pattern recognition methods, which will be significant.
在利用地面传感器获取目标地震信号特征的基础上，借助神经网络理论，解决基于地震动信号的典型目标的模式识别问题。
On the basis of acquiring character of seismic signal of target by ground sensors, in virtue of nerve network, it solves pattern recognition of typical target based on seismic signal.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
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