查询词典 similarity

A face recognition classier learned by real AdaBoost is used for measuring similarity between two faces, and a similarity measure for the query face and one face cluster if further proposed for retrieval.

其次采用连续AdaBoost算法学习得到的人脸识别分类器度量人脸之间的相似度，并进一步提出查询人脸与人脸聚类之间的相似度用于检索。

The mechanism of the construction of the meaning systems of body terms is disinterred detailed as what described below: the similarity and the contiguity act as the cornerstone, the cognitive salience on the potential similarity and the contiguity perform as the promoter, and metaphor and metonymy behave as the two paths by mapping between domains in metaphor or transferring in one domain in metonymy separately via several methods, and finally the new meanings, thereby get constructed.

人体词语语义建构的机制是：以相似性和邻近性为本，以认知主体对潜在的相似性和邻近性进行认知突显为助推器，以隐喻和转喻两种认知模式为途经，通过几种形式的跨域投射或域内转移而实现人体词语新的词义建构。

The shortcoming of determining failure distribution in intuition is pointed out, and an idea of quantitating similarity between theoretic curve and testing curve to determine the failure distribution of samples is presented, which is based on analyzing the traditional leaf-figure method. Furthermore, the correlation coefficient method is considered to quantitate similarity between two curves.

在分析传统树叶图方法的基础上，指明了直观判断失效分布的弊端，提出了用量化理论曲线和试验曲线间相似度的方法来确定样本失效分布的思想，进而考虑用相关系数方法来量化曲线间的相似度。

Our framework also subsumes a version of Tversky's set-theoretic model of similarity, which is conventionally thought of as the primary alternative to Shepard's continuous metric space model of similarity and generalization.

我们的架构也容纳了Tversky的相似性之集合论模型的观点，它在惯例上被视为Shepard对於相似性和普遍化之连续刻度空间模型的优先选择。

Our framework also subsumes a version of Tversky's set-theoretic model of similarity, which is conventionally thought of as the primary alternative to Shepard's continuous metric space model of similarity and generalization.

我们的架构也容纳了Tversky的相似性之集合论模型的观点，它在惯例上被视为Shepard对于相似性和普遍化之连续刻度空间模型的优先选择。

Cluster and similarity analysis of these cottons showed that the differences in genetic relationship and similarity among the brown cottons,green cottons and brown-green cottons are not remarkable.

结果表明，棕色棉之间、绿色棉之间及棕绿彩棉之间的遗传距离和相似性差异不显著，它反映了棕、绿彩棉之间的遗传基础比较狭窄，遗传多样性水平相当。

Sequences were aligned by BLAST method. Results showed that 309bp fragments shared high similarity with orfl38 in Ogu CMS radish and Brassica cybrids of Ogu CMS radish, which 172 nucleotide sequences and 58 amino acids were same among them. And 689bp fragments shared high similarity (100%) with Pol orf224 in B.napus, which 677 nucleotide sequences and 225 amino acids were same among them.

同源性分析结果表明，利用orf138引物所获得的309bP大白菜mtDNA特异片段均与萝卜Ogu CMS、甘蓝型油菜Ogu CMS萝卜体细胞杂种所具有的Ogu orf138高度同源，二者有172个核苷酸完全相同，有58个氨基酸完全相同；orf224引物所获得的689bP大白菜mtDNA特异片段与甘蓝型油菜的Pol orf224高度同源，二者有677个核苷酸完全相同，有225个氨基酸完全相同，同源性均达到100%。

Using the on-line sequence similarity searching tool Fasta3 on internet web,many neuropeptides from crustacean CHH family of high similarity with thesededuced amino acid sequences from cDNA of eyestalks from these four kinds animalswere found.

在所有的相似序列中，分别由中国对虾、中华绒螯蟹、鹰爪虾和蓝对虾的特异性cDNA片段推定的氨基酸序列与蜕皮抑制激素的相似度最高，这一结果提示分别由中国对虾、中华绒螯蟹、鹰爪虾和蓝对虾的眼柄特异性cDNA片段推定的氨基酸序列可能是这四种甲壳动物的MIH片段。

To resolve this defect for the word polarity analysis,we confine the value of word similarity between in this paper,and enhance the word similarity computation on the basis of Liu s paper by employing sememe s depth information,the antonym and definition .

基于文本情感色彩分析的需要，把词语相似度的取值范围规定为[-1，+1]，在刘群论文的基础上，进一步考虑了义原的深度信息，并利用《知网》义原间的反义、对义关系和义原的定义信息来计算词语的相似度。

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制，能将词形相似且词义相近的词汇所属的句子分到同一群，经过人工验证，得到了66.1%的平均正确率；基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库，透过知网取得词汇的概念，将具相同或相似概念的特徵词汇所属的句子分成同一群，补足词形分群演算法的不足，得到72.3%的平均正确率；基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度，进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题，得到81%的平均正确率，达到更好的分群效果。

As she looked at Warrington's manly face, and dark, melancholy eyes, she had settled in her mind that he must have been the victim of an unhappy attachment.

每逢看到沃林顿那刚毅的脸，那乌黑、忧郁的眼睛，她便会相信，他一定作过不幸的爱情的受害者。

Maybe they'll disappear into a pothole.

也许他们将在壶穴里消失