搜索结果: 1-15 共查到“工学 N-gram”相关记录17条 . 查询时间(0.156 秒)
HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD – A RECIPE
High Resolution Imagery Gram-Schmidt Pan-Sharpening
2014/4/24
Since its publication in 1998 (Laben and Brower, 2000), the Gram-Schmidt pan-sharpen method has become one of the most popular algorithms to pan-sharpen multispectral (MS) imagery. It outperforms most...
运动补偿是ISAR（Inverse Synthetic Aperture Radar）成像算法中的重要步骤.本文将运动补偿归结为多参数估计问题，基于设计结构化Gram 矩阵的最优化理论提出了一种运动补偿方法.该方法可分为距离对准和相位补偿两部分，其中距离对准算法通过让所有距离像之间的相关性同时逼近最大值的准则实现偏移量的估计，而相位补偿算法则通过分析信号模型推导出最优矩阵从而利用最优化方法提取相位...
Studies on Development of Protein Rich Germinated Green Gram Pickle and its Preservation by using Class One Preservatives
Green Gram Pickle Protein Rich Germinated
2016/6/1
Green gram on germination has high nutritive value in terms of protein, fibre and minerals yet it has low shelf life of two to three days at room temperature, hence to enhance the shelf life of germin...
Study of Antibacterial Activity of Ocimum sanctum Extract Against Gram Positive and Gram Negative Bacteria
Ocimum sanctum Extract Against Antibacterial Activity
2016/5/31
This study was carried out to observe the antibacterial activity of aqueous extract, chloroform extract, alcohol extract and oil obtained from leaves of Ocimum sanctum against the selected bacteria i....
基于Gram-Schmidt过程的判别变量筛选方法
Gram-Schmidt正交变换 判别分析 变量筛选 多重相关性
2011/10/25
利用Gram-Schmidt过程,在自变量集合中选择对判别分类解释性最强的信息,删除对分类无显著解释作用的信息以及重复解释的信息,并把挑选出来的解释变量集合变换成若干直交变量.一方面实现了判别分析模型中的变量筛选,同时也解决了自变量多重共线条件下的有效建模问题.在选入变量的过程中运用F统计量检验变量的判别作用,更容易被统计应用人员所接受.为了说明所提算法的合理性和有效性,以Fisher判别分析建模...
基于Web的无指导译文消歧词模型与N-gram模型及对比研究
计算语言学 无指导译文消歧 词模型
2009/12/29
该文提出了基于Web的无指导译文消歧的词模型及N-gram模型方法，并在尽可能相同的条件下进行了比较。两种方法均利用搜索引擎统计不同搜索片段在Web上的Page Count作为主要消歧信息。词模型定义了汉语词汇与英语词汇之间的双语词汇Web相关度，根据汉语上下文词汇与英语译文之间的相关度进行消歧；N-gram模型首先假设不同语义下的多义词N-gram序列行为模式不同，从而可对多义词不同语义类下词汇...
AN APPROXIMATION ALGORITHM FORWORD-REPLACEMENT USING A BI-GRAM LANGUAGE MODEL
word-replacement statistical machine translation NP-hard Hamiltonian Path Problem
2012/12/3
This paper presents an approximation algorithm for wordreplacement under a bi-gram language model. Words replacement is an key step in the decoding part of statistical machine translation. However, th...
A Novel Optical Direct-Detection I/Q Up-Conversion with I/Q Imbalance Compensation via Gram-Schmidt Orthogonalization Procedure
Novel Optical I/Q Imbalance Compensation Gram-Schmidt Orthogonalization Procedure
2015/7/20
We proposed RF detect-detection vector signal generation using optical I/Q up-conversion. The Gram–Schmidt orthogonalization procedure is employed to compensate I/Q imbalance. After transmission over ...
EFFECTIVENESS OF N-GRAM FAST MATCH FOR QUERY-BY-HUMMING SYSTEMS
N-gram Fast match Query-by-Humming
2013/6/28
To achieve a good balance between matching accuracy and computation efficiency is a key challenge for Query-by-Humming(QBH) system. In this paper, we propose an approach of n-gram based fast match. Ou...
n-Gram/2L索引结构的存储与时间优化算法
算法 索引 倒排表
2009/6/11
对分词检索算法n-Gram/2L的索引结构作了改进，在第二级倒排表中加入对文章标识的索引，提出一种基于Zigzag的分词检索算法n-Gram/2LZ（n-Gram/2L on Zigzag join）。在对数据量较大的文章进行检索和索引时，该算法在保留原有算法特性的基础上进一步减少了索引冗余，降低了索引的存储量，同时对查询算法的优化降低了查询时的系统开销，并且减少索引中记录访问次数，提高了查询效率...
一种基于N-gram模型和机器学习的汉语分词算法
汉语分词 N-gram模型 机器学习
2009/4/3
汉语的自动分词,是计算机中文信息处理领域中一个基础而困难的课题。该文提出了一种将汉语文本句子切分成词的新方法,这种方法以N-gram模型为基础,并结合有效的Viterbi搜索算法来实现汉语句子的切词。由于采用了基于机器学习的自组词算法,无需人工编制领域词典。该文还讨论了评价分词算法的两个定量指标,即查准率和查全率的定义,在此基础上,用封闭语料库和开放语料库对该文提出的汉语分词模型进行了实验测试,表...
基于前后文n-gram模型的古汉语句子切分
n-gram模型 平滑技术 基于前后文的n-gram模型
2009/4/3
提出了基于前后文n-gram模型的古汉语句子切分算法，该算法能够在数据稀疏的情况下，通过收集上下文信息，对切分位置进行比较准确的预测，从而较好地处理小规模训练语料的情况，降低数据稀疏对切分准确率的影响。采用《论语》对所提出的算法进行了句子切分实验，达到了81%的召回率和52%的准确率。
Microbial Adhesion to Processing Lines for Fish Fillets and Cooked Shrimp: Influence of Stainless Steel Surface Finish and Presence of Gram-Negative Bacteria on the Attachment of Listeria monocytogenes
seafood processing hygienic design biofilm
2009/3/16
Microflora adhering to surfaces of processing lines in a shrimp factory and a fish processing plant was identified in situ and adhesion of mixed culture of Listeria monocytogenes and Gram-negative bac...
Effects of Food Additives on Susceptibility of Gram Negative Bacteria Derived from Dry-Fermented Sausage
food additive antimicrobial compounds gram-negative bacteria
2010/3/5
This study examined the effects of food additives on gram-negative bacteria. The food additives used included synthetic antioxidants (butylated hydroxyanisole, BHA, and butylated hydroxytoluene, BHT),...
有理函数逼近法方程组病态条件数为构建电源分配网络时域宏模型带来了数值问题。该文提出利用修正Gram-Schmidt正交化处理对超定方程组系数矩阵进行正交三角分解，结合Bernoulli多项式求根方法及稳定、无源性准则可以精确构建无源时域宏模型。计算实例精确构建了自DC至1GHz频带内的宽带无源时域宏模型，从而验证了该方法的有效性。