nmfs 中文意思是什麼
nmfs
解釋
國家海洋漁業局-
It contain nmfs lock water keeping warms factor vitamin amino acids, trace element, in the hair surface form moist membrane, keeping wet bright gloss, and it can deepen each one hair. adopted unique water dissolved prescription, it s cleanlily, naturally and not greasy, bring you a effect of graceful and lenitive finalizing the design enduringly
蘊含nmf鎖水保溫因子維他命氨基酸微量元素，在發絲表面形成滋潤膜，保持秀發濕亮光澤，能深入每根發絲，彩用獨特的水溶配方，清爽自然不油膩，帶給你豐盈潤澤的持久定型效果。 -
The comparative performances are studied among the nmfs + rbf method, the pca + rbf method, and the pca + fld ( fisher ' s linear discriminant ) method. all simulations are carried out on the orl face database. the simulation results show that rbf classifier outperforms k - nearest neighbor linear classifier significantly in recognizing faces with occlusions, and the holistic representations are generally less sensitive to occlusions or noise than parts - based representations
為了驗證本文所提出的nmfs + rbf演算法的性能，經典的基於pca和fisher線性判別（ fisher ' slineardiscriminant ， fld ）的人臉識別方法，以及基於pca和rbf的人臉識別方法，被用於和本文所提出的人臉識別方法進行比較。 -
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 )
首先通過主元分析演算法（ pca ）提取全局特徵，利用帶稀疏限制的非負矩陣分解演算法（ nmfs ）提取局部特徵。 -
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
本文提出了一種基於非負矩陣稀疏分解（ non - negativematrixfactorizationwithsparsenessconstraints ， nmfs ）和rbf神經網路的人臉識別方法。通過控制稀疏度， nmfs演算法既可提取人臉全局也能提取局部特徵，再運用rbf神經網路進行模式分類。 -
The experiments on umist face database show that fusion scheme outperforms individual algorithm based on pca or nmfs. this thesis is organized as follows
試驗表明，該演算法可以較好的解決人臉識別中的魯棒性問題，而且可以提高系統的識別率。
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