搜索结果: 1-11 共查到“计算机科学技术 h-index”相关记录11条 . 查询时间(0.269 秒)
Does it Matter Which Citation Tool is Used to Compare the h-index of a Group of Highly Cited Researchers?
h-index Scopus Google Scholar Web of Science Nobel Prize Physics Chemistry Economic Sciences
2015/7/10
h-index retrieved by citation indexes (Scopus, Google scholar, and Web of Science) is used to measure the scientific performance and the research impact studies based on the number of publications and...
MANAGING THE GLOBAL DATASET IN BLOCK-INDEX BASED ON ESSG
SDOG ESSG Global Scale Raster Data
2014/4/21
Earth observation system, which can realize global coverage in three dimensions, has provided massive data from earth observations
at global scale for Earth System Science (ESS) and global change re...
Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias
central bias conspicuity dissimilarity spatial distance visual saliency
2013/7/24
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional ...
Visual Conspicuity Index: Spatial Dissimilarity, Distance, and Central Bias
central bias conspicuity dissimilarity spatial distance visual saliency.
2013/7/24
We propose an image conspicuity index that combines three factors: spatial dissimilarity, spatial distance andcentral bias. The dissimilarity between image patches is evaluatedin a reduced dimensional...
基于重叠分块的FM-index性能研究与分析
FM-index算法 重叠分块 压缩查询
2009/8/12
FM-index压缩查询方法结合压缩技术和索引技术，其最大优势是能够在不解开压缩文件的情况下对源文件进行查询。该文通过理论分析和详细的测试数据研究重叠分块对FM-index压缩查询性能的改善。对改进后的FM-index和压缩软件Winrar在压缩时间和文件占用空间上进行分析和比较，进一步证明了重叠分块对FM-index压缩查询性能的改善。
M*(k)-index构造算法的改进
XML数据 索引结构 M*(k)-index结构
2009/8/6
一些基于图结构的索引技术通过缩小查询范围提高对XML数据的查询速度，但存在分隔不相关节点的问题。该文改进M*(k)-index的构造算法，用单一的M**(k)-index结构取代原算法的序列结构，以避免存储序列成员中的节点与边及序列成员之间的链接，提高其存储性能和查询效率。实验结果表明，改进后的结构具有良好性能。
FM-index分块并行算法及其实现
压缩 自索引 FM-index算法
2009/5/14
在查询海量数据时，有压缩和索引两种方法来提高速度，。该文结合这两种方法提出了压缩查询的方法。FM-index是一种自索引的全文查询算法，。这种算法存在内存占用过大的问题，并且对于复杂的查询效率也不理想，。该文于是提出了分块FM-index算法，,并在分块的基础上采用MPI对该分块算法进行了并行化，。成功地解决了内存占用过多的问题，并达到了较好的并行效率。
针对指纹图像具有局部平行性和渐变性以及邻域的脊线方向相关性高的特点，提出了一种基于加权平均梯度的指纹方向场算法。改进了传统的Poincare Index指纹奇异点检测算法。实验证明，在采用加权平均梯度算法获取的方向场上利用改进的Poincare Index算法可实现对低质量指纹图像的奇异点的准确提取。
F-Index:一种加速Twig查询处理的扁平结构索引
2007/11/1
Zhou JF, Meng XF, Jiang Y, Xie M. F-Index: A flattened structural index for speeding up twig query processing. Journal of
Software, 2007,18(6):1429-1442.DOI:
10.1360/jos181429 http://www.jos.org....
IndexToolkit: an open source toolbox to index protein databases for high-throughput proteomics
open source protein databases high-throughput proteomics
2010/12/15
A software package, IndexToolkit, aimed at overcoming the disadvantage of FASTA-format databases for frequent searching,is developed to utilize an indexing strategy to substantially accelerate sequenc...
Predicting Australian Stock Market Index Using Neural Networks Exploiting Dynamical Swings and Intermarket Influences
stock market prediction financial time series neural networks feature selection correlation variance reduction overtraining
2014/3/12
This paper presents a computational approach for predicting the Australian stock market index – AORD using multi-layer feed-forward neural networks from the time series data of AORD and various interr...