查询词典 recognition

Just as then in the question of astronomy, now in the question of history, the whole difference of view rested on the recognition or non-recognition of an absolute unit as a measure of visible phenomena.

现在的历史学问题正如当年的天文学问题一样，各种观点上的不同就在于承认或不承认一种绝对的单位作为看得见的现象的尺度。

In view of the the difficulty of mixture gas's characteristic absorption spectrum line overlapped, a novel seriatim mixture gas recognition method based on Support Vector Machine two classes classification and recognition model was presented.

针对混合气体种类光谱识别中组分气体特征谱线重叠严重的问题，将支持向量机用于混合气体种类光谱识别中，提出了一种基于支持向量机二值分类识别模型的逐一混合气体种类识别方法。

To extract shaft orbit\'s features invariant to rotation, scaling and translation, the unique strengths of Haar orthogonal matrix type are found, the horizontal and vertical coordinates of shaft orbit are fast proceeded by Haar transform, respectively, and the slopes with different resolutions are obtained at different positions by using the corresponding transform coefficients, and then the multi-resolution angles between the adjacent slope straight line are extracted skillfully and used for the hierarchical recognition, the recognition process accords with the principle of human\'s recognizing things by using hierarchy analysis approach.

为提取轴心轨迹平移、旋转、尺度不变性特征，本文挖掘出Haar正交矩阵在图形识别中的独特优点，引入Haar正交矩阵分别对轴心轨迹的横、纵坐标进行快速变换，并利用变换后的对应系数得到轴心轨迹不同位置不同分辨率下的斜率，继而推求出相邻斜率直线之间的多分辨率夹角，所获夹角用于轴心轨迹的分层识别，其识别过程符合人类识别事物层次分析的规律。

In the process of smart structure's uncoupled properties recognition, the new recognition method which is combined by initial-value search method and nonlinear Alternating iterative Method has been established.

在智能结构的非耦合物性识别中，建立了由初值搜索法与非线性交错迭代法；相组合的新的物性识别统一性解法。

The paper proposes a kind of recognition method, which combines track density recognition algorithm with level feature recognition algorithm, and it is very effective for offline irregular number.

本文提出的一种识别方法，将笔道密度识别算法和层次特征识别算法相结合，对不规则数码脱机识别起到了十分有效的作用。

First , a syllable-based Taiwanese speech recognition system was implemented. And the effect on the recognition performance of the syllable with entering tone was carefully exiamined. Based on the linguistics knowledge, the syllable with entering tone in database was re-labeled according to the tone sandhi of Taiwanese in order to improve the recognition rate. In addition, Kullback Leibler distance between the acoustic model before and after re-labeling was examined to verify the linguistics knowledge.

在论文中首先针对台语语音特性入声调的部份深入研究，我们由confusion matrix去分析入声调对辨识系统的影响性，且根据语言学上的知识修改文字拼音资料库，使得训练出来的声学模型更为可靠，进而提升辨识率；并利用Kullback Leibler distance去观察声学模型在修改前与修改后之间的差异。

The pattern recognition method mainly counts pattern-recognition method, sentence structure pattern- recognition method, fuzzy set to discern the pattern-recognitions of the method, artificial neural network, etc.

图像识别的方法主要有统计模式识别方法、句法模式识别方法、模糊集合识别方法、人工神经网络的模式识别等。

It shows that combined pretreatments and recognition techniques can improve the ability of recognition, and the combination of neural network and artificial intelligence under the principle of efficiency and practicality will be two major development tendencies of pattern recognition.

从中可看出：多种预处理与识别技术有机结合能提高系统识别能力，在有效、实用的原则下将神经网络与人工智能技术相结合将成为模式识别研究的两个重要发展趋势。

The omni-vision system for RoboCup middle-size league soccer robot-NuBot and its method for object recognition are introduced firstly in the paper,and then a simple front vision system is used to improve the accuracy of recognition of the ball in front,and meantime an easy and effective calibration method for front vision system is presented,and finally the realization mechanism for the two vision systems working together is introduced,in which the processing speed of robot's object recognition can be accel...

为了快速正确地进行机器人的目标识别，首先介绍了RoboCup中型组足球机器人NuBot使用的全向视觉系统及其目标识别方法；然后通过引入一套简单的前向视觉系统来弥补全向视觉的不足，以提高机器人对其前方目标球的感知识别精度，同时给出了一种简单有效的前向视觉系统标定方法；最后介绍两套视觉系统共同工作的实现机制，以提高机器人的目标识别处理速度。

According to the study result of the recognizers based on Hidden Markova Model and on distance classification respectively,in this paper we introduce two handwriting recognition systems based on neural network ensemble,the comparison neural network recognition system and the permutation neural network recognition system.

国家自然科学基金项目（40776044）；上海市自然科学基金（08ZR1404600）马婉婕，硕士，主研领域：人工智能，图像处理在研究基于隐马尔可夫模型的识别器和基于距离分类器的识别器的识别结果基础上，提出两种基于集成神经网络的手写识别系统：比较神经网络识别系统和全排列神经网络识别系统。

It is also known as one of the most poisonous naturally occurring substances.

它也被称为一个最自然发生的有毒物质。

The greatest stress is found at the location on the cross section where V is the largest.

最大应力出现在横截面上V为最大的地方。