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双语推荐:MFA

边界Fisher分析(MFA)是一种有效的特征抽取方法,但在人脸识别的应用中会遭遇小样本问题。基于此,提出一种利用零空间法求解MFA优化准则的算法。该算法通过在MFA的类内散度矩阵的零空间中最大化MFA类间离散度得到最优投影向量,从而避免MFA方法所遇到的小样本问题,同时也保留了包含在类内散度矩阵零空间中的鉴别信息。在标准人脸库上的识别实验结果表明,该算法的识别率高于LDA和MFA,并且较容易选择其最优低维特征空间的维数。
Marginal Fisher analysis ( MFA) is an efficient linear projection technique for feature extraction .The major drawback of applying MFA to face recognition is that it often encounters the small sample size ( SSS) problem.In this paper, a strategy based on null space for solving optimization criteria of MFA is proposed to avoid this issue .It maximizes the class scatter of training samples on null space of within-class scatter matrix ( Sw ) in MFA and reserves the discriminant information contained in null space of Sw .The per-formance of this method is tested in both ORL and Yale face databases .Experimental results show that this method is effective and a-chieves higher recognition rate than LDA and MFA .Moreover , it is easy to decide most optimal dimensionality of feature space for this method .

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采用X射线衍射技术对梁山慈竹微纤丝角(MFA)的变异特性进行了研究,并就微纤丝角对拉伸力学的影响进行了分析。结果表明,梁山慈竹微纤丝角随竹龄增加的变化较小,三年生竹的微纤丝角最大,为8.521°,二、三年生竹微纤丝角的平均值明显大于四、五年生竹,差异绝对值小于0.1°。竹秆基部、中部和上部微纤丝角的平均值分别为8.499°,8.497°和8.483°,变异系数在5%左右。微纤丝角从竹青到竹黄呈增大的趋势。方差分析表明,径向部位对微纤丝角有显著性影响,竹龄和纵向部位对微纤丝角无显著影响。顺纹拉伸强度和杨氏模量呈线性相关(r=0.57)。微纤丝角对力学性能有一定影响,拉伸强度和杨氏模量中分别有35%和43%的变异由微纤丝角引起。
X-ray diffraction technology was used to rapidly predict variation in microfibril angle (MFA)in Dendrocalamus fari-nosus.The results show that there is little variation in MFA with bamboo age from 2a to 5a,and MFA of 3a is at the maximum with the value of 8.521°.The average value of MFA of 2a or 3a is greater than 4a or 5a with absolute differences less than 0.1°. MFA of base,middle and upper position respectively are 8.499°,8.497°and 8.483°with coefficient of variation about 5%. There is an increasing tendency from the periphery to the inner of bamboo culms.Variance analysis indicates that MFA is highly sensitive to radial position,but insensitive to bamboo age and longitudinal position.The correlation coefficient of longitudinal strength and modulus of elasticity (MOE)is 0.57.MFA was responsible for 35%and 43%of the variation found in longitudinal strength and MOE respectively,which means MFA has a certain extent effect on mechanical properties.

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为了解决甜瓜含糖量预测中输入特征的"维数灾难"问题,提出了一种基于边际费希尔分析(MarginalFisher Model,MFA)和径向基神经网络(RBF)相结合的甜瓜含糖量无损检测方法.采用边际费希尔分析方法对高维的介电特性数据进行特征提取.该方法即能够保留高维空间中数椐的内蕴结构,又能同时进行降维,再应用RBF对低维特征数据进行训练和预测,结果表明该方法预测精度比其他算法有所提高.
In order to solve the curse of dimensionality problem of the measurement of sugar content in cantaloupe, an algorithm based on Marginal Fisher Analysis (MFA) and Radial Basis Function (RBF) was proposed in this paper. The dielectric property data were projected from a high-dimensional space onto a low-dimensional space by MFA, this method can keep the intrinsic structure of the dielectric property data in high dimension space RBF is used to train and forecast the low-dimensional data. Experimental results show that the proposed algorithm performs much better than other traditional algorithms.

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介绍了一种新的社团挖掘算法MFA(Maximum weighted edge First Algorithm),该算法是一个优先考虑边权值进行社团划分的算法,同时也继承了通过优化Q值进行社团划分的算法的优点。通过实验证明,该算法完全正确的将加权的Zachary网络划分为个数分别为16和18的两个社团,要远优于其他大部分社团划分算法。
A new community structure identification algorithm MFA(Maximum weighted edge First Algorithm)was introduced, who was a priority for community division algorithm with edge weights,at the same time the advantages of optimized Q was in-herited.The experimental proved,the Zachary network of weighting was divided two community structure of 16 and 18 correct-ly,it`s better than most of the other algorithm.

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针对人脸识别中的非线性特征提取和有标记样本不足问题,提出了在核空间具有正交性半监督鉴别矢量的计算方法。算法利用核函数将人脸数据映射到高维非线性空间,在该空间采用边界Fisher判别分析(Marginal Fisher Analysis,MFA)算法将少量有类别标签样本进行降维,同时采用无监督鉴别投影(Unsupervised Discriminant Projection,UDP)对大量无标签样本进行学习,以半监督的方法构造算法的目标函数,在特征值求解时以正交方式找出最优投影向量,进行人脸识别。通过实验,在ORL和YALE人脸数据库上验证了该算法的有效性。
In view of the problems of nonlinear feature extraction and use of a few labeled samples in face recognition, a new algorithm of orthogonal optimal semi-supervised discriminant vectors in a kernel space is proposed. Nonlinear kernel mapping is used to map the face data into an implicit feature space. In this space, the MFA can make use of small amount of labeled samples and the UDP can study a large number of unlabeled samples. The object function is defined using the semi-supervised method. Then optimal projection vector is found using orthogonal approach and face recognition is realized. The effectiveness of the proposed methods is validated through the experimental results on ORL and YALE face databases.
将基于多个嵌入图组合形式的半监督判别分析(SDA)以及核 SDA (KSDA)应用于全监督的语音情感识别.在语音信号样本情感成分的预处理阶段,从样本语段中提取出多种特征及其统计参数,包括基音、过零率、能量、持续长度、共振峰和 MFCC (Mel 频率倒谱系数).在将样本特征送入分类器之前的维数约简阶段,使用经过参数优化的 SDA 或 KSDA 进行降维.Berlin 语音情感数据库上的实验表明,在使用多类 SVM 分类器时的全监督语音情感识别中, SDA 优于其他一些先进的基于谱图学习的维数约简算法,如LDA, LPP, MFA 等,而 KSDA 通过核化的数据映射,能够取得比上述所有算法更好的识别效果.
Semi-supervised discriminant analysis SDA which uses a combination of multiple embedding graphs and kernel SDA KSDA are adopted in supervised speech emotion recognition.When the emotional factors of speech signal samples are preprocessed different categories of features including pitch zero-cross rate energy durance formant and Mel frequency cepstrum coefficient MFCC as well as their statistical parameters are extracted from the utterances of samples.In the dimensionality reduction stage before the feature vectors are sent into classifiers parameter-optimized SDA and KSDA are performed to reduce dimensionality.Experiments on the Berlin speech emotion database show that SDA for supervised speech emotion recognition outperforms some other state-of-the-art dimensionality reduction methods based on spectral graph learning such as linear discriminant analysis LDA locality preserving projections LPP marginal Fisher analysis MFA etc. when multi-class support vector machine SVM classifiers are

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在区域技术效率的比较研究中,大多数文献采用SFA方法进行分析,一般认为东中西部技术效率水平存在显著差异且东部与中西部的差距呈扩大化趋势。然而SFA方法将所有区域看作一个整体,忽略了地区间技术条件的差异性,使得区域间技术效率的比较缺乏可靠性,因此本文采用共同前沿方法(MFA),将各区域置于共同前沿面上进行比较分析。通过构建超越对数生产函数模型,利用我国1998~2012年装备制造业东中西部的相关数据研究发现,我国区域间技术条件存在显著差异,中西部装备制造业技术效率水平呈现向东部追赶的效应而非扩大趋势,有异于大部分采用SFA方法研究的结果。
In a comparative study of regional technical efficiency ,most of the literature was analyzed using the SFA and is generally believed that the technical efficiency of East ,Middle and West was significant different , and the gap between the East and the Midwest showed expansion trend .However ,the SFA treats different areas as a group ,ignoring the differences of technical conditions between re-gions ,making inter - regional technical efficiency comparative lack of reliability .This paper uses a Meta - frontier approach (MFA) , and places different regions on the Meta - frontier to do the comparative analysis .By building translog production function model ,using the da-ta of equipment manufacturing industry in 1998 ~ 2012 of East ,Middle and West , this paper found that there are significant differences be-tween the technical conditions of the regions ,and the technical efficiency of equipment manufacturing industry in Midwest showed catch -up effect to the East rather than e

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目的:评价高压氧治疗重度颅脑外伤后偏瘫的临床效果。方法选取本研收治的100例重度颅脑外伤后偏瘫患者,随机分为观察组和对照组,每组50例。对照组患者给予常规和康复治疗,观察组在对照组基础上行高压氧治疗,比较2组治疗效果。结果观察组治疗总有效率为92%,对照组为72%,2组总有效率比较差异具有统计学意义( P<0.05);观察组患者接受治疗后上下肢MFA评分以及MBI评分均高于对照组,差异具有统计学意义(P<0.05)。结论高压氧治疗能显著提高重度颅脑外伤后偏瘫患者的治疗效果和生活质量。
Objective To evaluate the effectiveness of hyperbaric oxygen on hemiplegia patients with severe craniocerebral trauma.Methods 100 cases of severe head injury patients with hemiplegia were selected as research objects ,and then randomly divided into observation group and control group ,each group of 50cases.The control group was given the routine and rehabilita-tion treatment.The observation group was given hyperbaric oxygen auxiliary therapy based on the control group.And then the curative effectiveness was compared between the two groups.Results The total effective rate of observation group was 92% , and that of the control group was 72% ,there was statistically significant difference between the two groups (P<0.05).The up-per and lower limb MFA score and MBI score of the patients in observation group were higher than those of patients in the con-trol group ,the difference was statistically significant (P<0.05).Conclusion Hyperbaric oxygen on hemiplegia patients with se-vere craniocer

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利用代谢通量分析(MFA)研究建立米根霉As3.2686的代谢通量方程,计算发酵罐不同通气条件下丙酮酸分支点的稳态代谢通量,并分别使用酶联免疫吸附法(ELISA)和分光光度法测定丙酮酸分支酶PDC(丙酮酸脱羧酶)、PC(丙酮酸羧化酶)、PDH(丙酮酸脱氢酶)和LDH(乳酸脱氢酶)活性变化情况。结果表明,通气量为0.5及1.0 L·(L·min)-1时苹果酸、富马酸和乙醇的通量相对较高;通气量为1.5和2.0 L·(L·min)-1时,丙酮酸分支点超过一半的流量流向L-乳酸;通气量达到2.5 L·(L·min)-1时,丙酮酸分支点流向TCA循环的稳态通量增多。比较不同通气条件下同一酶活性变化,PDC、PC和PDH的酶活性总体上都随通气量的增大先增加后减小,并且与乙醇、草酰乙酸和乙酰辅酶A的通量变化不一致;LDH和ADH变化随通气量的增加而逐渐增大,但ADH酶活性也与乙醇通量变化不一致。通气量为2.0L·(L·min)-1比1.5 L·(L·min)-1时丙酮酸分支点流向L-乳酸的通量多,但得到的胞外L-乳酸产量却较少。结果说明米根霉产L-乳酸丙酮酸分支点处单个酶的作用是有限的,多个酶都对物流起控制作用,存在其它因素间接影响丙酮酸转化L-乳酸。
The metabolic flux equations of Rhizopus oryzae As3.2686 were established and the metabolic fluxes of different ventilations in the steady-state in a fermentor were calculated by metabolic flux analysis (MFA) method. The changes of the enzyme activities at pyruvate branch point including PDC (pyruvate decarboxylase), PC (pyruvate carboxylase), PDH (pyruvate dehydrogenase), and LDH (lactate dehydrogenase) were analyzed by enzyme-linked immunosorbent assay (ELISA) and spectrophotometry. These results illustrated that the flux of fumarate and ethanol were relatively higher at the ventilations of 0.5 and 1.0 L?(L?min)-1. At the ventilations of 1.5 and 2.0 L?(L?min)-1, over half of flux at pyruvate branch point flowed to L-lactate. When the ventilation was 2.5 L?(L?min)-1, more metabolic flux in the steady-state flowed to TCA cycle. According to the comparison of the activities of the same enzyme at different ventilations, the enzyme activities of PDC, PC, and PDH increased at beg

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以3株6年生浙江桂幼龄材为试材,研究了其生物量、材积、基本物理力学性能及生长轮的宽度、纤维长度、宽度、微纤丝角和结晶度的径向变异规律。结果表明,浙江桂幼龄材单株平均总生物量27.93奴,平均材积0.0124m3,生长轮平均宽度9.15mm(3.12—10.57mm),基本密度为0.414g/cm3,除髓心外其余各生长轮宽度和密度无明显差异,反映浙江桂生长较为稳定;顺纹抗压强度、抗弯强度和弹性模量等物理力学综合性能中上等;纤维长度为830.μm(581—1043μm),纤维宽度为23.6μm(21—24μm),结晶度为38.46%~58.43%,微纤丝角为13.6°一24.6°;纤维长度、宽度和结晶度自髓心向外逐渐增加,微纤丝角自髓心向外逐渐减小,结晶度与纤维长度、宽度间相关性极显著。
Three 6-year-old Cinnamomum chekiangense trees were selected to study the growth characteristics(biomass and wood volume)and radial variation of wood properties(basic physical and mechanical properties,annual ring width,fibre length(FL),fibre width(FW),microfibril angle(MFA)and crystallinity( CR)). The results showed that the average biomass,volume,annual ring width and basic density were 27. 93 kg,0. 0124 m3 ,9. 15 mm(3. 12 -10. 57 mm)and 0. 414 g/ cm3 ,respectively. No significant variation of ring width and basic density along the radial direction was presented except the pith. The FL,FW,CR and MFA were 830. 6 μm(581-1043μm),23. 6 μm(21-24μm),38. 46% -58. 43%and 13. 6° -24. 6°,respectively. The FL,FW and CR increased from pith to bark while MFA decreased in the same direction. The CR was significantly correlated with FL and FW.

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