feature space
特征空间
2025-09-07 03:53 浏览次数 8
特征空间
feature detection space特征空间
Multi-feature vector space多特征向量空间
feature-space based DFE空间之鑒别式特征撷取
feature on space空间格局
model and feature of space空间模式与特征
Feature Space Optimization特征空间优化
feature attribute space特征属性空间
spectrum feature space[物]
feature of space withclosed礼制为尺
Conventional algorithms assumed that the consistency constraint is defined on the original feature space. However, the original feature space is not the best for defining consistency.
传统的算法一致性约束是定义在原特征空间中,但是在原特征空间中定义的一致性不是最好的。
In the field of human face tracking, we contrast several main similarity methods nowadays, and adopt a method of human face tracking based on feature space model.
在人脸跟蹤领域,本文对比了当前几种主要的相似度匹配方法,采用了一种基于特征空间模型的人脸跟蹤方法。
In this study, a nearest feature space embedding (called NFS embedding) algorithm is proposed for face recognition.
在这项研究中,最近特征空间嵌入(称为NFS嵌入)算法提出了人脸识别。
In classification, feature space heterogeneity is an important kind of data characteristics, and impacts significantly on the classification performance.
在分类问题中,特征变量异质性是一种重要的数据特性,对于分类方法的应用结果具有显着影响。
Hence, the key point is how to learn a proper distance metric automatically from the feature space of labeled images.
因此,如何能够从有类标的图像特征空间中自动学到一种合适的距离测度就显得十分关键。
For each bone X ray image, the distance from its features to the two prototypes in feature space is computed to provide an objective judgement on the degree of osteoporosis.
对每一幅骨x线图像,在特征空间中计算其特征到两个标準的距离来提供对骨质疏松程度的客观评价。
First, the ICA method is used to get the representation basis of face image set, and then a classifier is designed on the feature space by using the combination of FSVM and triple decision tree.
首先对人脸图像做独立成分分析,提取有利于分类的面部特征的主要独立成分,然后在特征空间中,用FSVM和三叉决策树相结合设计人脸分类器。
Firstly, using pattern aggregation theoretical models to extract features, merge the features which have the similar contributions to text classification, then a new mapping feature space is formed.
首先采用模式聚合理论进行特征抽取,将对文本分类具有相似贡献的特征合并,映射为新的特征空间。
MFCC USES intermediate clustering results in one type of feature space to help the selection in other types of feature Spaces.
MFCC充分利用了一个特征空间的中间聚类结果来帮助另一个特征空间进行特征选择。
Then it studies segment color images in the feature space to choose a method which bases on non-supervise, and the experiments have testified the efficiency.
而后选择了一种在特征空间进行非监督学习的算法,对彩色图像进行了分割,实验证明该方法识别率很高。
This paper presents a multiple templets matching algorithm based on feature space trace, which is used in speaker recognition.
提出一种用于说话人识别的方法基于特征空间轨迹的多模板匹配法。
However, as the conventional FCM doesn「t optimize data in feature space and doesn」t involve any spatial information, it is sensitive to noise.
但是传统的算法未对数据对特征进行优化,亦未考虑图像的空间信息,对噪声图像分割不理想。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
CDCPM用中心距离正态(CDN)分布描述模型特征空间,去掉了H MM的状态转移概率矩阵a,对HMM进行了简化和改进。