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Home > chinese-english > "信息损失" in English

English translation for "信息损失"

information loss
loss of information


Related Translations:
损失:  1.(失去) lose 短语和例子损失金钱 lose one's money; 你是不是因此受到损失呢? did you lose by it? 军队损失惨重。 the army lost heavily. 损失三架飞机。 three planes were lost.2.(失去的东西) loss; wastage 短语和例子赔偿某人损失 recoup sb. for hi
Example Sentences:
1.Due to the difference degree of information lost in haze and dense fog , different methods are adopted
由于轻雾天气和大雾天气下图像信息损失程度的不同,对它们分别采用不同的手段进行处理。
2.At the same time , i discover the relations between the m . west method and gonden et al method in the discussing of the information losing
并且在讨论抽样过程中模型参数的信息损失问题时,发现了m . west和gondenetal方法之间内在的联系。
3.After analyzing and study two transitions of map to spatial data and spatial data to map , the author thinks the spatial data capturing is a loss map information process , and for map production firstly symbolize from spatial data , then reinforce the map information . the map production model ( mpm ) is the summary of all kinds of map production . the integration model is the best model in mpm and it infers that " spatial data first , map second " is the production process
提出了“静态数字制图”和“动态数字制图”的概念,论述它们各自特点和研究方法,并提出地图制图和空间数据生产都属于“静态数字制图” ;通过研究地图和空间数据的相互转换过程,发现空间数据生产是地图信息损失的过程,根据空间数据来进行地图生产必须先实现地图符号化,然后再进行地图信息的补充处理;本文提出的“地图生产模型”是现有各种数字化生产模式的基础,从理论上论证了一体化生产模式是最优模式,推导出“先空间数据生产,后地图出版”的一体化生产流程,并归纳总结了当前数字化生产的4种基本生产模式和9种应用情况。
4.Second , based on the theory of synthetic discriminant function , several sub - reference images were synthesized to form the reference image base to realize rotation distortion - invariant recognition , which also solved the ill - problem of synthesizing a single reference image with the whole training distorted images and made the pose estimation easier . third , the phase - encoding and amplitude modulation distortion - invariant jtc for multi - target recognition were described
其次,论文采用综合识别函数方法构成子参考图像,建立参考图像库的方法解决了目标旋转畸变不变的识别问题,克服了由大量训练图像合成单幅参考图像时,高频信息损失严重的病态问题,并可实现对真实目标旋转姿态的估计。
5.2 ) by analyzing the information and conditional information description mechanism of system states , the problem of stochastic model reduction is investigated based on state aggregation . the information loss and conditional information loss between the full - and reduced - order models are measured by entropy , while the independence and conditional independence within me components of aggregated state are measured by kullback - leibler information distance . several model reduction methods for stable and unstable linear systems are derived by employing two criteria to get aggregation matrices : the minimal information loss and the maximal independence
2 )分析了随机系统状态空间模型中的信息和条件信息描述机制,以shannon熵为手段描述线性系统模型降阶过程中的信息和条件信息损失,以kullback - leibler信息作为衡量降阶模型状态向量各分量之间统计独立性的测度,针对稳定和不稳定系统研究基于状态集聚的模型降阶问题:分别运用最小信息损失准则和最大独立性原则,得出几种状态集聚的信息论方法,并讨论降阶模型的性质、阶次的确定、系统噪声分布特性等问题。
6.Aiming at the problem of a lot of information loss during the period of image segmentation , the paper proposed a fuzzy clustering segmentation method based on d - s evidence theory , and adopted d - s evidence theory to integrate the pixels " gray information with the spacial correlation information , and gained a satisfactory result
针对二维直方图在模糊化过程中仍存在大量信息损失的问题,引入了d ? s证据理论来融合图像像素灰度信息和空间相关信息,提出了一种基于d ? s证据理论的模糊聚类图像分割方法,取得了不错的分割效果。
7.It can save the information near lips , which may be deleted by the method based on two points . ( 2 ) based on the analysis of current methods , a new multi - pose facial feature location algorithm is developed , which is based on the analysis of multi - feature and integral projection , the combination of an iterative search with a confidence function and template matching . the algorithm not only improves the location accuracy , but also speeds up a great deal . ( 3 ) based on the analysis of the advantages and disadvantages of current feature extraction methods , an adaptive facial feature selection criterion is developed , which is based on facial local feature protrusion consisting of several aspects , such as face image resolution and image quality
其后研究了人脸特征提取,一、讨论了适合于多姿态人脸识别的基于三点仿射变换的人脸图像归一化方法,以克服基于两点仿射变换会引起较大图像信息损失的缺陷;二、在分析现有器官定位算法的基础上,提出了新多姿态人脸器官特征定位技术,将多特征和直方图分析、基于置信度函数的迭代搜索和模板匹配相结合,既提高了器官定位精度,又提高了定位速度。
Similar Words:
"信息速率" English translation, "信息宿" English translation, "信息随需应变" English translation, "信息损耗" English translation, "信息损坏" English translation, "信息索引" English translation, "信息锁定方式" English translation, "信息所有权" English translation, "信息台" English translation, "信息台,信息咨询处" English translation