查询词典 hidden line algorithm

The experimental result conducted on large-scale corpus indicates that the performance of this algorithm is remarkably higher than other usual lexical tagging algorithms such as hidden markov model. Meanwhile, by introducing the concept of confidence interval, implement an lexical tagger that combines SVM and HMM algorithms, reaching both high performance and efficiency.

针对句法分析的前期任务：词性标注的特点，提出创新的排歧算法，使得其精度和效率都得到非常显著的提高，为实现高精度和高效率的句法分析系统提供良好的基础。

The new learning algorithm and theory are based on alternating Updating principle between hidden viable structure of field organization transformation and the parameter of field action transformation.

提出了基于场组织变换结构表示的估计与场反应变换参数估计交替结合的学习理论和算法。

After analyzing Tian and Alattar algorithm, a novel lossless information hiding method based on integer linear transform was proposed. The near character of pixels could be analyzed. After the less distorted revisable vector was transformed by integer linear transform, hidden information was embedded by pair-check modulation.

在分析Tian和Alattar隐藏算法的基础上，提出了一种基于改进整数线性变换的无损隐秘传输方法，通过分析可修改矢量区域象素的邻近相关性，选取出对图像质量影响较小的可修改矢量，进行整数线性变换后再嵌入信息。

This paper presents a N-R method of acquiring multi-level reasoning production rules automatically based on NN, so as to resolve the bottle neckproblem in building a knowledge - based system-knowledge acquisition. This methodadopts a characteristic NN structure model and corresponding learning algorithm, so thatN -R method can fix the number of hidden nodes dynamically and form new conceptswhich are not defined in the sample set in the course of learning. Having been trained, NNis transforme...

本文为解决知识系统构造过程中的瓶颈问题──知识获取，提出了一种基于神经网络NN的自动获取多级推理产生式规则的N－R方法，该方法采用了特有的NN结构模型和相应的学习算法，使得NN在学习过程中动态确定隐层节点数的同时，也产生了样例集中没有定义的新概念，学习后的NN能用本文提出的转换算法转换成推理网络，最终方便地得到产生式规则集

To study the customer behavior by carrying out Customer Relationship Management in enterprises, we use some relative technology and method of decision tree of data mining to propose a kind of UPTree algorithm of data Mining, which is used to mine a great deal of information hidden in customer behavior.

为了解决在企业中实施客户关系管理，CRM系统中客户行为的定量研究问题，利用决策树的数据挖掘相关技术和方法，提出了UPTree数据挖掘算法，并采用UPTree算法对隐藏在大量客户行为中的信息进行挖掘，从而获取了CRM系统中潜在的客户行为规则，并给出这些行为规则的IF-THEN的描述形式，为企业的科学决策提供依据。

Then we introduced transition probability kernel for the hidden state process and the confederated process. In the deep research, we found that some similar parameters of state transition probability, observation symbol probability and initial state probability were involved in the transition probability kernel of the confederated process. So we can complete the training of traditional HMM parameters by training the transition probability kernel of the confederated process. To our surprised, we got the consistency of transition probability kernel of the confederated process. Meanwhile, we proved the rationality and reliability of the parameters estimation equations under the classical B-W algorithm.

然后对联合过程的转移概率核展开研究，我们根据过程的取值空间的不同，引入了隐状态空间和联合过程空间上的转移概率核，研究中发现在联合空间上的转移概率核包含了在一般的隐马氏模型的参数估计中的所有类似的三组参数(转移概率，观测概率和初始概率)，因此对传统的隐马氏模型的参数训练我们可以通过联合过程的转移概率核的训练来完成，更令我们惊奇的是联合过程的转移概率核还具有一致性；同时对于Baum提出的经典的B-W算法给出的关于模型的参数重估计公式，证明了它的合理性和可靠性，即模型经过重估计后的参数能够满足给定的单观测序列在模型下发生的概率是单调递增的。

Presented and implemented a rapid local hidden face remove algorithm used of milling machining simulation.

提出并实现了一种用于数控铣削加工仿真的快速局部消隐算法。

Furthermore, the algorithm exhibits robuster in the situation that the object is partially occluded, rotated and shape distorted. A vision-based human motion recognition method is introduced in this paper. A modified shape context method named area-based shape context is used to describe the shape. Then continuous hidden markov models are built to model the human motions, and Bayesian criterion is used to classify them.

本文的行为识别算法是建立在对人体行为观测的基础上的，用一种改进的基于人体区域的形状上下文技术表示人体轮廓形状，通过对训练样本集进行学习，利用最佳状态数估计法建立连续隐马尔可夫模型之后，利用贝叶斯判别准则，实现了对人体行为如走、跑、双脚合拢跳跃、单脚跳跃和侧向跳跃五种行为的识别。

We proposed a new method by improving it in a novel way, which can generate pixel of a line row by row according to the first and second row of a line and inherit the advantages of Bresenham algorithm without division and decimal fraction.

该算法在保持Bresenham算法不使用取整和小数运算的优点下，还提高了直线生成效率，一次计算可以生成一个像素行。

The process of the algorithm include: image enhancement, using self-adapting threshold value reduce redundance, using Hough transformation extract first feature line, according to the vertical projection of the horizontal gradient perform characters line, using the improving Hough transformation with angle constraints acquire the intersection of the two feature lines, according the characters of geometry position to judge the fault.

算法流程包括图像增强，自适应阈值变换滤除无关特征，应用Hough变换提取主特征线条，依据线型特征图像水平梯度沿垂直方向的积分投影定位主特征线，基于极角约束Hough变换推出两条主特征线交点，最后根据安全链和支架的几何形态特征判读故障。

Chimborazo and Cotopaxi, took me by the hand.

越过琴博腊索山和科托帕克西山。

This car is in a good condition.

这辆车的状况很好。