1980年代中期，在美国宇航局艾姆斯研究中心，卡内尔瓦和同事们在一台计算机上设计出非常稳定的实用版本，对他的稀疏分布记忆结构进行了细调。
At the NASA Ames Research Center, Kanerva and colleagues fine-tuned his scheme for a sparse distributed memory in the mid-1980s by designing a very robust practical version in a computer.
本文引入了一个含稀疏相关结构的二维风险模型，并基于此模型定义了三类不同的破产概率。
In this paper, we propose a two-dimensional risk model with thinning dependent structure and three different types of ruin probabilities are defined.
该均衡器具有稀疏矩阵结构，因此计算量小。
The equalizer has a sparse matrix structure and thus a low computational complexity.
方向性小波理论为图像处理提供了一种新的稀疏表示方法，能够更有效地捕捉图像中的几何结构。
The directional wavelet theory provides a novel sparse representation method for image processing, and it can capture geometrical image structures more efficiently.
最后，利用稀疏光流进行三维物体运动参数和结构参数的估计。
Finally, we estimate 3-d motion and structure parameters of the body by sparse optical flow.
我们修改基于特征的增量编码模型，根据稀疏编码原理，将其扩展成层次结构，并利用高斯金字塔解决尺度问题。
We expand it into two-layer structure based on sparse coding theory, and use Gaus-sian pyramid to solve scale problems.
稀疏的织物结构几乎对灰尘没有阻挡作用，在维护方面要比紧密织物结构复杂得多。
Open constructions, which offer little resistance to soil penetration, may require more maintenance than tight constructions, which shed dirt.
头发稀疏也可能是由于饮食结构不良或暴饮暴食引发的营养不良而导致的。
Thinning hair can also be due to a nutritional deficiency caused by poor diet or even a crash diet.
本文首次将多分辨率稀疏化技术引入有耗三维导体结构频变电感参数的提取过程中。
The multi resolution sparsification technique is first introduced into the extraction of frequency dependent inductance for the lossy three dimensional conductor structures.
由于数据点过于稀疏，这些直接观测获得的信息还远不能满足人们认识潮汐场精细结构的要求。
However, the limited data points gained from this directly observation were obviously far from the requirement of further research on the fine structure of tidal fields.
通过研究稀疏数据的应用场景，分析稀疏数据的存储结构特点，给出稀疏数据库常见的数据模型。
Then we investigate sparse data scenarios such except OLAP, analyze the storage structure characteristics of sparse data and give three common data models in the sparse database.
同时利用拉普拉斯密度模型作为特征系数的稀疏惩罚函数，保证了图像结构的稀疏性。
At the same time, this algorithm utilized the Laplace density model as the feature coefficients sparse punitive function to ensure an image's sparse structure.
该算法采用人们熟悉的树型数据结构，可以较为合理地表示稀疏校验矩阵中行与列中非零元素的跳转关系。
This algorithm used the data of tree structure, and could more reasonably the skipping relations of the non-zero elements in the rows and lines of the sparse check matrix.
数值结果表明，尽管采用的非结构网格非常稀疏，但通过采用真实曲线物面边界和高阶的基函数仍可得到高精度的数值解。
Numerical results indicate that highly accurate solutions can be obtained using high-order DG and real solid boundary conditions even on very coarse grids.
数值结果表明，尽管采用的非结构网格非常稀疏，但通过采用真实曲线物面边界和高阶的基函数仍可得到高精度的数值解。
Numerical results indicate that highly accurate solutions can be obtained using high-order DG and real solid boundary conditions even on very coarse grids.
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