种特征

词组短语

specific character

与种特征相关的网络例句 [注：此内容来源于网络，仅供参考]

Allometry is used to study and measure the relative growth of one part of an organism, in comparison with the other parts of the organism.

植物个体的异速生长是指生物体某一特征的相对生长速率不等于第二种特征的相对生长速率的特性，该特性是由物种的遗传性决定的一种固定特征，植物往往朝着最佳的异速生长曲线进化。

By reducing its dimensions through matrix conversion using the algorithm, the fault feature of condensator in the marine propulsion plant was extracted.

详细介绍了一种特征提取方法—主成分分析方法，运用该方法，经过矩阵变换、降低维数以提取故障信息的主要特征，实现了对船舶动力装置冷凝器的故障特征提取，为船舶动力装置冷凝器故障诊断及故障预报问题提供了一种有效可行的数据预处理方式

Danwei personality is consisting of three elements:dependence,guardedness and relationship,Danwei personality is a tradition personality.

在单位制度和单位文化的影响下形成的单位人格的主要特征是依赖性、关系性和保守性，这三种特征各自又可以再仔细区分出以下九种特征：权威性、集体性、被动性；抑制性、封闭性、公平性；知足性、宿命性、体面性；单位人格是一种准传统人格。本文还提出了制度性懒惰和习得性低能的概念来批评单位人格。

This article proposes essential color of color feature and gradation paragenesis matrix of the texture characteristic,as well as the correlation feedback technology carried on together the retrieval.This article uses the correlation feedback technology to adjust the feature coefficient of color and texture and weight value of the block of this two feature.

提出了将颜色特征中的分块主色法，纹理特征中的分块灰度共生矩阵以及相关反馈技术相结合来共同进行检索，并采用相关反馈技术通过更新权值的方法来调整图像颜色、纹理特征系数以及对应于这两种特征的图像各分块的权值。

The principal component method and the minor component method are recommended to reduce the computation of MNE and MPE respectively. Whether rank reduction conducted or not, STAP is always performed in a particular space which may be spanned or expressed by different sets of basis.

我们在第5章讨论了DFP结构上两种特征子空间降维方法，即最小功率特征对消和最小范数特征对消，这两种方法将权矢量约束在噪声子空间内，从而能够对消与噪声子空间正交的杂波分量。

The computational complexity has been reduced about 5 times over against the original one. Moreover, the interpolation and quantization processing of CW is more reasonable; 2. A secondary power normalization algorithm is proposed in this dissertation. This normalization algorithm ensures that the energy sum of SEW and REW is 1. So, the energy ratio of SEW and REW can be achieved only by using SEW energy. This ratio is applied in REW quantization and CW composition; 3. For more efficient quantization for Slowly Evolving Waveform magnitude, Rapidly Evolving Waveform magnitude and power parameters, firstly, by applying the Equivalent Rectangular Bandwidth theory, classifiable multi-codebooks method, analysis-by-synthesis approach and so on, a predictive AbS multi-codebooks SEW magnitude quantization scheme is proposed. In the scheme, pitch information is exploited to determine which codebook is searched; secondly, for REW magnitude quantization, this dissertation proposed a DCT-matrix multi-codebooks quantization scheme. The classification in muti-codebooks is based on pitch and quantized SEW power. The multi-codebooks structure may offer more the information in quantization and solve the problem of the bit requirement limits in quantization by consuming some extra storage space; Furthermore, for the switch quantization of CW gain, a new classified parameter is proposed.

本文的主要贡献体现为如下几方面：一、为了减少WI模型的计算复杂度，提出了基于快速傅立叶变换、三次B样条插值和周期延拓技术的特征波形(Characteristic Waveform，CW)表示和对齐的快速算法，与原方法相比，计算量下降到原方法的1/5，同时也使得CW在插值和量化时更合理；二、为了严格保证SEW与REW的能量和为1，提出了一种特征波形的二次功率归一化算法，仅需要SEW能量就可以算出二者的能量比，并可应用到后续的REW的分类量化和CW合成中；三、为了对慢渐变波形(Slowly Evolving Waveform，SEW)幅度、快渐变波形(Rapidly Evolving Waveform，REW)幅度和特征波形功率进行有效量化，本文首先采用临界频带理论、分析合成技术、感觉加权技术以及预测式矢量量化技术，提出了一种基于基音周期分类的SEW分析合成预测式多码书量化方法；其次，本文根据基音和量化后SEW的功率信息对REW幅度进行分类，提出了一种基于离散余弦变换的REW矩阵多码书量化方法。

The former four types of features are represented in the lexicon and are interpretable, while formal features are uninterpretable and must be checked immediately after they enter the computation, if they are strong, i.e.

前四种特征都是可解释性特征，无需得到核查；而后一种特征，即形式特征，是不可解释性特征，如果它是强特征的话，就必须在进入运算后立即被核查掉，否则会导致表达式&失败&。

As feature extraction acts an important role in pattern recognition system, we propose three novel feature extraction methods for HCCR: a、Two structural feature extraction methods, Stroke Cross Counting Features and Peripheral Features are studied. According to the characteristics of Chinese handwriting samples, we extend the SCCF and PF respectively to weighted elastic SCCF and weighted elastic PF. Experiments show that the modified feature extraction approaches are better than original approaches. b、A new statistical feature extraction method——Elastic Meshing Directional Decomposition Feature extraction is proposed. According to the stroke statistical properties of Chinese character, we first decompose a handwritten character pattern into four directional subpatterns. Then a set of elastic meshes are applied to each of the four subpatterns respectively to extract the pixel distribution features.

统计识别方法：利用统计模式识别的经典方法——Bayes分类方法来进行汉字识别的研究，特征提取是统计模式识别的关键，本文着重围绕手写体汉字的特征分析和提取方法进行了研究，提出了三种特征提取的新方法： a、两种改进的结构特征提取方法：在笔划密度特征和外围特征的基础上，结合手写体汉字的特点，提出了加权非均匀笔划密度特征、加权非均匀外围特征的特征提取新方案； b、一种新的统计特征提取方法——弹性网格方向分解特征，根据汉字方块字的特点及笔划分布的统计特征，对手写体汉字进行横竖撇捺四方向的分解，并利用一系列的弹性网格对汉字分解后各分量的象素进行统计而提取特征，实验证明该特征提取方法用来进行手写体汉字识别是十分可行和有效的。

The findings indicated that, the Japonica rice RVA profile characteristic is the concurrently Indica rice nature with the glutinous RVA profile characteristic continuously change body, assumes 5 kind of characteristics class groups, the few idioplasms has the glutinous starch RVA profile characteristic, also has some idioplasms for the starch RVA profile characteristic of Indica rice, the partial idioplasms have the high quality RVA profile characteristic, namely setback for the negative value, the overwhelming majority idioplasm RVA profile characteristic approx

研究结果表明，粳稻的RVA谱特征是兼具籼性与糯性RVA谱特征的连续变化体，呈5种特征类群，少量种质具有糯性淀粉RVA谱特征，即还有一些种质表现出为籼性淀粉RVA谱特征，部分种质具有优质的RVA谱特征，即消减为负值，绝大多数种质的RVA谱特征(约占样本数的85%)，其曲线的显著特征为消减值在250-1000cp。籼稻的RVA谱特征的分化亦呈现为多态性，主要表现为峰值粘度、最终粘度与消减值的分异性，在籼稻种质材料中主体RVA谱类型的特征表现为消减值在1000-2000cp间。特异的分化出3种类型，第一类表现为峰值粘度与消减值均在2000cp

And then, combing a proposed feature data preprocessing mechanism and the multiple classifiers fusion, an ultrasound uterus image recognition framework is proposed.4, A fast and automatic ultrasound uterus image recognition algorithm for the intra-uterine device is proposed and realized. The algorithm is composed of automatic ultrasound uterus image segmentation and the specific recognition framework, which are connected by object of interest.

随后结合特征降维进一步提出了一种特征数据预处理机制，并在此基础上结合多分类器融合提出了一种超声子宫图像识别框架。4、设计并实现了一种快速全自动的超声子宫图像节育环物体识别及定位算法，其包括全自动超声子宫图像分割和特定模式识别框架两大部分，通过感兴趣物体(Obiect of interest，OOI)进行连接。

与种特征相关的网络解释 [注：此内容来源于网络，仅供参考]

Australopithecus anamensis：南方古猿湖畔种

这些化石所表现出来的特征不同于已知的南方古猿各人科,而是一种新发现的南方古猿的新科. 1995年他被定名为"南方古猿湖畔种"(australopithecus anamensis). 由于学术界对始祖种的人科地位还有不同看法,因此通常都认为湖畔种是最早能直立行走的人科成员.

Biometric Feature：生物特征

而提供一种结合密码与生物辨识技术应用于安全认证的方法,其是应用生物特征辨识(Biometric feature)的唯一性,人体与生具有、一生不变等特质,以进行一种动态生物特征(Biometric Feature)资料的非对称性对比、除了消除利用密码技术从事安全认证的缺陷,

cacophony:noisy：特征

①特征 cacophony:noisy | ②缺乏特征或相反 serpentine:traightness,flaw:perfection | ③种属或一般与具体 pancrea:organ,stagger:walk

characteristic line：特征线

得到了所谓的特征线(characteristic line) 下图就给出了两种风险资产的 特征线相对而言A 资产显得更有进取性 期望收益 beta>1 A 资产 beta=1 B资产 o Rm 图1-32 特征线 回到我们对风险的讨论对1 3 4 式两边取方差立即有 1 3 5 2 2 2 2 i iM M εiσ = βσ +σ 上式左边风险资产期望收益的方差就是整体风险它可以分解为两

corn flakes：玉米片

描述性名字的第二种主要类型是某些品质或者特性,它们使用直截了当的词语. 这些名字强调一种特征、成分、目的、功能或者这种东西的外观,这样的名字告诉我们它是什么样的东西或者是做什么的,比如:玉米片(Corn Flakes)、电影频道

random sampling：随机取样

10、随机取样 (random sampling) 从总体抽取样本的一种策略,要求总体中的每一个体被抽到的机会均等. 用随机取样法得到的样本叫做随机样本.11、变量(variable)是一种特征或条件,其本身是变化的或对不同的个体有不同的值.

ROC Curve：受试者工作特征曲线

组间病死率的比较使用x2检验,以P<0.05为差异具有统计学意义.同时分别建立两种评分法相应的受试者工作特征曲线(ROC curve),该曲线下的面积(AUC)是评估评分法分辨能力的重要参数,

Sampling error：取样误差

9、取样误差(Sampling error)样本统计量与相应的总体参数之间的差距. 10、随机取样 (random sampling) 从总体抽取样本的一种策略,要求总体中的每一个体被抽到的机会均等. 用随机取样法得到的样本叫做随机样本.11、变量(variable)是一种特征或条件,

Sickle-cell trait：镰状细胞特征

本病有三种类型:①HbS的纯合子称为镰状细胞性贫血;②杂合子称为镰状细胞特征(sickle cell trait);③HbS与地中海贫血或其他异常Hb基因组合成的双重杂合子称为...预防保健、相关并发症等多方面对阴茎异常勃起进行了详细的讲解,

sociation：基群丛

演替系列变群丛(演替系列亚社会)facies 某个种(特征种或区别种)的存在或不存在等不是根据植物群落质方面的差异,而是基于种的优势性来区别的最低植物社会学(狭义)的植被单位. 因而,在某种意义上与基群丛(sociation)和单优种社会(consociation)相似.