各种搜索算法的复杂性是以时间、空间和解路径的长度来衡量的。
The complexities of various search algorithms are considered in terms of time, space, and cost of solution path.
为了在保持原始图像信息的情况下，提高图像的空间分辨率，改善图像的峰值信噪比，在前期的研究中提出了小波双三次插值搜索算法。
In order to improve the resolution and PSNR of the obtained image without damaging its original information, the Wavelet Bicubic Interpolation Search Algorithm was proposed in the previous work.
通过将启发式策略中的定向策略与层次空间推理策略相结合，模拟树的生长，提出了一种有效路径的定向层次空间推理搜索算法。
Combining the orientation of searching the route and the strategy of spatial hierarchical reasoning, an orientated tree algorithm of efficient paths is proposed by simulating the trees growing.
路径搜索的算法有很多，不同的搜索算法有其不同的搜索策略、时间效率、空间消耗与应用场合。
There are many pathfinding algorithms, which have different search strategies, time efficiency and space efficiency. So they have different application situations.
分别为基于线性预测的准菱形搜索算法(LPPDS)和基于空间预测的多参考帧选择算法。
They are line prediction based pseudo-diamond search (LPPDS) algorithm and spatial prediction based multi-frame selection algorithm.
本文提出了两个新的图上关键字搜索算法，使用了现代信息检索技术中的向量空间模型和随机游走模型来解决以上缺陷，使得查询结果更具语义信息。
In this paper, two novel algorithms are introduced, which employ the vector space model and random walk model to address the drawbacks above and make the results more semantical.
在分析和阐述了离散概率密度演化理论和多维线性空间极值问题的基础上，给出了适合于该方案的非正则ldpc码的搜索算法和搜索结果。
By analyzing the discretized density evolution theory and the differential evolution algorithm, a method is proposed to search optimal irregular LDPC code for joint optimization of the system.
基于重启型随机游走的图上关键字搜索算法，在重启型随机游走模型的基础上加入了向量空间模型。
The first algorithm is based on random walk with restart model, which modifies the model to support vector space model.
在此基础上，提出了采用虚拟矩阵匹配搜索二叉树以确定领域式规划空间中邻接关系的方法，并描述了启发式方法和概率方法相结合的路径搜索算法。
And then associating with the virtual array elements, this article improves the algorithm and an improved space-time virtual DOA array method has been made.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
该算法将图像模糊集作为特征空间，尝试了在模糊域中采用3层前向神经网络搜索算法进行精确寻优的方法。
Image fuzzy sets are taken as feature space, and the exact positions are optimized by using 3 layers forward neural network algorithm.
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