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large data
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  大数据量
    However, high dimension and large data amount of hyperspectral images bring trouble to target detection. What’s more, traditional segmentation and detection algorithms for single images are inefficient for hyperspectral images.
    然而高光谱图象大数据量、高数据维给目标检测应用带来了极大的困难,传统的基于单幅图象的分割、检测算法已经不适应于高光谱图象的小目标检测。
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  “large data”译为未确定词的双语例句
    However, these advantages are at the expense of high dimension and large data amount, besides, the high relativity of hyperspectral image bands makes much Information redundancy.
    但是,高光谱图像的这些优点是以其较高的数据维数和较大的数据量为代价的,且高光谱图像波段间相关性较高,造成了信息的冗余。
短句来源
    The algorithm is used to identify modal parameters of a space intelligent truss with closely spaced frequencies for constructing a mathematical model for vibration control. Theoretical analysis and simulations demonstrate that the algorithm can synthesize an identical model to that found by the Eigensystem Realization Algorthm (ERA),but at the computational speed increased by 5~10 times for large data set sizes. The improved algorithm is a better Multi input & Multi output identification method.
    本文还将其用于具有密集模态的空间智能桁架的模态参数识别中,以建立受控数学模型,对改进算法运算量的理论分析与应用实例表明,该算法的运算速度可提高5~10 倍,是一种较好的多输入/多输出模态参数识别算法
短句来源
    We figure out the problem of large data and energy leak in FFT.
    针对信号谱分析计算中数据量过大 ,能量泄漏等问题提出了解决方案。
短句来源
    On the basis of a large data bank consisting of more than 2000 experimental results published for bubble columns, a state of the art correlation for the prediction of gas holdup was proposed.
    在 2 0 0 0多组公开发表的鼓泡塔实验数据组成的数据库基础上 ,提出了一个预测鼓泡塔内气含率的关联式 ,介绍了一种新的神经网络回归方法。
短句来源
    It is a good solution to solve the problem of large data processing to design and develop a series of soft- ware with the support of grid computing environment,which is a development direction of this field.
    结合网格计算的网络计算及资源共享的优势,设计并开发适合遥感影像处理的网格计算环境及软件,是解决当前遥感影像海量数据处理的有效途径之一,同时也是遥感图像处理软件的一个发展趋势之一。
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  large data
For the multiring and hypercube, a method of conflictless realization of an arbitrary permutation of "large" data items that can be divided into many "smaller" data blocks was considered, and its high efficiency was demonstrated.
      
A general method of conflictless arbitrary permutation of "large" data elements that can be divided into a multitude of "smaller" data blocks was considered for switches structured as the Cayley graphs.
      
The system unified the operation of various sets of equipment (radiation monitoring, radiometric, wave, materials science, and magnetic) and allowed the transfer of large data arrays from detectors located on the outer surface of the station.
      
To date, a large data set on the mitochondrial DNA (mtDNA) sequence variation in human populations has been accumulated.
      
The high-speed compression of large data streams in ultrasonic diagnostics
      
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On the basis of subspace classifier the concept of subspace is developed and a new concept called dual subspace and corresponding algorithm of classification are presented in this paper. This classifier not only preserves the good performance of high accuracy of subspace classifier but also have faster speed than that one. It is more suitable for large data set classification in remote sensing.

本文在子空间分类器的基础上,对子空间的概念进行了扩展,提出了对偶子空间的概念和相应的分类算法。这种分类器不仅保持了子空间分类器分类准确度高的特点,而且分类速度有很大提高,因而更适用于大规模的遥感图像分类。

As multisource images have very large data range, how to complete quickly point transformation is difficult in image processing system. By introducing concept of re_mapping table, color look_up_table and two_level color look_up_table, this paper puts forward an arithmetic called FVAMSIPT. By this algorithm, the image point transformation of multisource image data can be timely completed.

多源图象数据由于其取值范围较大,如何快速进行点变换一直是专业图象系统的难点.通过引入重映射表、彩色查找表和二级查找表的概念,提出了一种多源图象点变换的快速可视化算法(FVAMSIPT).利用本算法,可以实时地完成多源图象的各种点变换处理

An improved Eigensystem Realization Algorithm,which can increase computational efficiency greatly and is called Fast ERA(FERA), is proposed in the paper. In the approach,a symmetric positive semidefinite matrix is formed recursively and the singular value decomposition is replaced by eigenvalue decomposition.Furthermore,the test data are preprocessed by correlation filtering to improve the accuracy of modal parameter identification.The algorithm is...

An improved Eigensystem Realization Algorithm,which can increase computational efficiency greatly and is called Fast ERA(FERA), is proposed in the paper. In the approach,a symmetric positive semidefinite matrix is formed recursively and the singular value decomposition is replaced by eigenvalue decomposition.Furthermore,the test data are preprocessed by correlation filtering to improve the accuracy of modal parameter identification.The algorithm is used to identify modal parameters of a space intelligent truss with closely spaced frequencies for constructing a mathematical model for vibration control.Theoretical analysis and simulations demonstrate that the algorithm can synthesize an identical model to that found by the Eigensystem Realization Algorthm (ERA),but at the computational speed increased by 5~10 times for large data set sizes.The improved algorithm is a better Multi input & Multi output identification method.

针对多输入/多输出特征系统实现算法( E R A),提出了一种改进算法,这种算法通过以递推形式形成一个对称半正定阵,采用特征值分解代替奇异值分解,并采用相关滤波的方法对测量数据进行预处理以提高识别精度。本文还将其用于具有密集模态的空间智能桁架的模态参数识别中,以建立受控数学模型,对改进算法运算量的理论分析与应用实例表明,该算法的运算速度可提高5~10 倍,是一种较好的多输入/多输出模态参数识别算法

 
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