Chinese translation for "negative matrix"

负矩阵

Related Translations:

negative grouping:  负性基

negative reinforement:  负强化

negative conformer:  底片组合员

negative booster:  减压机减压器降压器

negative signs:  阴性星座

negative letter:  否定信

negative capital:  负债。

negative achnowledgement:  否定确认，否定应答信号

border negative:  印花边底片

negative crown:  负值中高

Example Sentences:

	1.	The numerical range of non - negative matrix 非负矩阵的数值域
	2.	Negative matrices over a c - algebra and geometric mean of two positive definite elements 代数上的非负矩阵与正定元的几何平均
	3.	Non - negative matrix factorization and its applications to gene expression data analysis 非负矩阵分解及其在基因表达数据分析中的应用
	4.	Secondly , we utilize the nmf ( non - negative matrix factorization ) algorithm to extract human face local feature subspace 然后,对获得的类人脸肤色区域利用nmf ( non - negativematrixfactorization )非负矩阵分解的方法提取人脸局部特征子空间。
	5.	The holistic features are extracted by principal component analysis ( pca ) , and the local features are extracted by non - negative matrix factorization with sparseness constraints ( nmfs ) 首先通过主元分析算法( pca )提取全局特征,利用带稀疏限制的非负矩阵分解算法( nmfs )提取局部特征。
	6.	In chapter 4 , we research a way how to generate curve by discrete points . the way uses several low - order bezier curve to substitute one high - order bezier curve in order to avoid computing high - order negative matrix . the curve produced by this way has good smoothness 第四章对由离散点构建曲线进行了研究，绕过高阶矩阵求逆，把由k个低阶的bezier曲线拼合产生的复合曲线来代替单一的高阶bezier曲线，并保证曲线之间的光滑过渡。
	7.	Principle component analysis ( pca ) , as a classical method for feature extraction , learns holistic representations of facial images , while non - negative matrix factorization ( nmf ) , a recently proposed approach , learns parts - based representations of faces . however , we argue that nmf can not only learn parts - based representations but also holistic ones with different sparseness constraints 在众多的特征提取算法中,基于全局特征提取的主元成分分析( principlecomponentanalysis , pca )是讨论最多的经典算法,与此对应的是基于局部特征提取的非负矩阵分解( non - negativematrixfactorization , nmf )算法。
	8.	In this thesis , we propose an efficient nmfs + rbf aggregate framework for fr , in which non - negative matrix factorization with sparseness constraints ( nmfs ) is firstly applied to learn either the holistic representations or the parts - based ones by constraining the sparseness of the basis images , and then the rbf classifier is adopted for pattern classification 本文提出了一种基于非负矩阵稀疏分解( non - negativematrixfactorizationwithsparsenessconstraints , nmfs )和rbf神经网络的人脸识别方法。通过控制稀疏度, nmfs算法既可提取人脸全局也能提取局部特征,再运用rbf神经网络进行模式分类。

Similar Words：

"negative mask" Chinese translation, "negative mass" Chinese translation, "negative mass effect" Chinese translation, "negative mass instability" Chinese translation, "negative match" Chinese translation, "negative maximal exercise test" Chinese translation, "negative maximum" Chinese translation, "negative meniscus" Chinese translation, "negative mental attitude" Chinese translation, "negative mentality" Chinese translation