1) unsupervised
无监督
1.
Novel unsupervised anomaly detection based on robust principal component classifier;
基于健壮主成分分类器的无监督异常检测方法研究
2.
The paper proposes an unsupervised training method for acquiring probability models that accurately segment Chinese character sequences into words.
接着论述了EM算法用于训练分词语言模型的可能性和局限性,为了解决EM算法严重依赖初始化条件的问题,用无监督训练方法建立概率模型,有效地解决了基于EM算法中文分词时可能存在的局部极值问题,提高分词精度。
3.
In order to overcome the weakness of statistical texture segmentation method,a new unsupervised texture segment algorithm,based on multi-resolution statistical model,was present.
针对基于统计的纹理分割算法存在的不足,提出了一种新的多分辨模型下的无监督统计纹理分割算法。
2) unsupervised classification
无监督分类
1.
To avoid the disadvantage of getting into local optimum solution with general numerical computation methods in the general independent component analysis and the restriction of neuron activation functions of neural learning algorithm,an improved model of independent component analysis(ICA) based on genetic algorithm was proposed for the unsupervised classification of hyperspectral data.
针对独立成分分析在使用常规数值求解时容易陷入局部最优解的问题,以及采用神经学习算法时神经元激活函数的限制问题,将遗传算法与独立成分分析相结合,并对模型进行改进,提出了适合于高光谱数据无监督分类的模型。
2.
In order to classify the data of Hyperspectral remote sensing images automatically without prior knowledge,an unsupervised classification algorithm is presented based on the conception of convex geometry and spectral features in this paper.
为了实现对无任何先验知识的高光谱遥感数据的全自动分类,提出了一种关于高光谱图像的无监督分类算法。
3.
In this study,a novel artificial immune system algorithm for unsupervised classification and recognition is proposed by using a novel manifold distance based dissimilarity measure which can measure the geodesic distance along the manifold.
将一种新的流形距离作为相似性度量测度,提出了一种用于无监督分类与识别的人工免疫系统方法。
3) unsupervised learning
无监督学习
1.
Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet
基于Dignet无监督学习聚类算法的智能火灾探测
2.
The learning of connectionism,which consists mainly of supervised learning,intensive learning and unsupervised learning,is modelled after the learning of human beings.
其学习是对人类学习的模拟,主要有监督学习、强化学习和无监督学习三种。
3.
The result of the feature selection in unsupervised learning is not as satisfactory as that in supervised learning.
无监督学习环境下的特征选择往往无法取得像有监督学习环境下那样令人满意的效果。
4) unsupervised segmentation
无监督分割
1.
Multiresolution likelihood ratio for unsupervised segmentation of SAR imagery;
基于广义多分辨似然比的SAR图像无监督分割
2.
An unsupervised segmentation of SAR imagery based on Multiscale image block is proposed.
提出了一种基于多尺度图像块的SAR图像无监督分割方法。
3.
This paper proposes an unsupervised segmentation algorithm for high-dimension time series.
提出一种针对高维时间序列的无监督分割算法,用于解决高维数据符号化的预处理问题。
5) unsupervised clustering
无监督聚类
1.
A new method based on unsupervised clustering for lithium-ion battery classification;
无监督聚类在锂离子电池分类中的应用
2.
A background sub-set was obtained from the data set by unsupervised clustering.
首先利用滑动可变窗口检测每个像素的所有不重叠平滑子序列,获取可能背景;然后选择每个平滑子序列的中值样本点构建分类序列集,根据未知类别的无监督聚类识别思想获取背景子集,实现背景初始化。
3.
The learning strategy is motivated by the statistical query model and unsupervised clustering method.
本文提出了基于最佳样本标记的主动支持向量机学习策略:首先利用无监督聚类选择一个小规模的样本集进行标记,然后训练该标记样本集得到一个初始SVM分类器,然后利用该分类器主动选择最感兴趣的无标记样本进行标记,逐渐增加标记样本的数量,并在此基础上更新分类器,反复进行直到得到最佳性能的分类器。
6) unsupervised pattern
无监督模式
1.
Extending the optimal set of discriminant vectors for an unsupervised pattern;
最佳鉴别矢量集在无监督模式下的扩展
补充资料：《国防计量监督管理条例》
《国防计量监督管理条例》
Acts for Management of the Metrological Supervision in the National Defence Industry
G以城a闪J 11心ng Jia耐u Guanli下aoli《国防计t监督管理条例》(Actsfo;衬山闭召卜万记瓜ofthe腕tro佃夕以S卿川isfon认the八h名如侧以及彝肥介以山勿)中国对国防计量进行监督管理的行政法规。1夕臾)年4月5日国务院、中央军事委员会发布，自发布之日起施行。国防计量是指军工产品研制、试验、生产、使用全过程的计量工作。国防计t工作是国家计量工作的组成部分，在业务上接受国务院计t行政部门的指导。中国人民解放军和国防科技工业系统的军工产品研制、试验、生产、使用部门和单位必须执行《国防计量监督管理条例》。条例规定的主要内容包括:国防计量管理机构;国防计量技术机构，计t标准;计量检定以及计量保证与监督。 (汤冠英阵国琴)
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条