| 1. | In this sense they do not incur information loss
从这种意义上讲，它们不会导致信息丢失。 |
| 2. | Websphere mq reduces the risk of information loss and the need to reconcile communicating it systems
Websphere mq降低了信息丢失的风险和调和通信it系统的需要。 |
| 3. | This is the only scenario in which not merging diagram or . sdm files might result in information loss
只有在这种情况下，不合并关系图或. sdm文件也可能会导致信息丢失。 |
| 4. | This diminishes the si ? of ann with little information loss , which may result in improving the generalization in the ? ? of insufficient training samples
为小样本情况下的神经网络泛化能力的提高提供了有效的保证。 |
| 5. | On 21 july 2004 stephen hawking presented a new argument that black holes do eventually emit information about what they swallow , reversing his previous position on information loss
在2004年7月21日，史蒂芬?霍金提出一项新的论点，黑洞最终不发射有关它们所吞下去的信息，重返它信息丢失的先前位置。 |
| 6. | To detect transient signals under complex background , a novel method of aliasing - free exponential bilinear time - frequency distribution is presented in this paper , which can avoid the frequency aliasing and information loss existing in the traditional bilinear distributions , reduce the cross - terms effectively and possess high time - frequency resolution
摘要针对复杂背景条件下瞬时信号的探测，提出一种新的无混叠双线性时间频率分布方法，该方法能够避免常用的双线性时频分布中的频率混叠与信息丢失，有效减小交叉项干扰，而且具有较高的时频分辨率。 |
| 7. | 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。 |
| 8. | 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。 |
| 9. | The contributions of this dissertation is listed below . aiming at existing defects of traditional beeline detection by hough transformation ( ht ) arithmetic , such as large storage space consuming , imprecise beeline detection effect and information loss of image feature pixels etc , we suggest two new beeline detection methods . ( 1 ) based on infinite symmetry exponential filter and its recursion arithmetic , new beeline detection methods can get exact direction of image edge pixels in advance , so it reduces highly the calculation quantity of the conventional ht , and improves the speed and the precision of beeline detection greatly
本论文的主要研究成果列举如下：针对传统直线检测霍夫变换( houghtransform ， ht )所存在的参数空间存储量大，直线检测不精确以及图像特征点信息丢失等缺点，提出两种新的直线段检测算法： ( 1 )提出一种基于无限对称指数滤波的ht直线段检测算法，在进行边缘检测的同时，提前精确定位边缘点的方向，减少了ht的运算量，提高了运算速度和检测精度，而且整体算法便于硬件的并行执行，使得实时处理成为可能。 |
