nmf 中文意思是什麼
nmf
解釋
天然保濕因子-
Natural essence ofv c with abundance, the efficiently beautiful leuco - isolate rho factor of this article, the nmf is natural to protect the wet rho factor, ve etc., the efficiently beautiful and white rho factor can permeate the skin quickly, lauteringing the ultraviolet ray, prevent, froming the tache noire formulating, valid for at the same time insulate the contamination and prevent, from the injury of outside bad surroundings and make - ups to skin, provide healthy protection of one whole day for the skin
成份：本品含豐富的天然維c精華、高效美白隔離因子， nmf天然保濕因子、 ve等，高效美白因子能迅速滲透肌膚，過濾紫外線，防止黑斑形成，同時有效隔離污染、防止外界不良環境及彩妝對皮膚的傷害，為肌膚提供一整天的健康保護。 -
Charateristics : contain the greece pure olive branch extracts, pearl digest, nmf. with strong penetration, nourish the dry and injury skin cells, recover skin ' s lexibility and delay to come old, dispel tiny wrinkles and resist the forge wrinkle. solve the problems of aging, supply the skin with strong anti - oxidant protection, promote skin ' s ability of moistur - izing, improve rough, dark, relax, and wrinkle skin, let skin watery, soft, smooth, and flexible
特點：蘊含萃取自希臘的純天然橄欖枝精華滋養成分、珍珠水解液、天然nmf等，滲透力強，使乾燥受損肌膚細胞得以滋養，有效恢復肌膚彈性，延緩皮膚衰老，消除細小皺紋並抑制假性皺紋的生成，在解決肌膚老化問題的同時，為肌膚提供強有力的抗氧化保護，並有效提升肌膚保濕能力，改善肌膚粗糙、暗沉、鬆弛及細紋、皺紋等問題，令肌膚水嫩、柔軟、光滑、富有彈性。 -
Naturally keep wet factor nmf can supply water for the skin continuously, make your skin moisten and pleasant sense
天然保濕因子nmf ，持續給皮膚進行補水，肌膚瞬間感覺到水水嫩嫩，使你潤膚后倍感舒爽。 -
If a document is viewed as a combination of basis topics, and every basis topic is represented by a related vector, then it can be categorized as belonging to the topic represented by its principal vector. thus, nmf can be used to organize document collections into partitioned structures or clusters directly derived from the nonnegative factors
如果將一篇文檔看作是由許多文本主題組合而成，而文本主題與語義空間的特徵向量相對應的話，則我們可以直接根據nmf演算法所提取的特徵向量及相對于特徵向量各文檔的編碼向量將文本集劃分成不同的類。 -
Different from previous document clustering method based on nmf, our methods try to discover both the geometric and discriminating structures of the document space in an unsupervised manner, companied with high accuracy in acceptable computationally expensive
與基於nmf演算法的文本聚類不同，我們的演算法力求以無監督的方式，在時間復雜度允許的范圍內，找到更適合於分類操作的數據向量間的幾何局部特徵向量及相應的各文檔的編碼向量。 -
Different from other rank reduction methods, such as pca ( principal component analysis ) and vq ( vector quantization ), nmf ( nonnegative matrix factorization ) can get nonnegative, sparse basis vectors which make possible of the concept of a parts - based representation
與pca （主分量分析）和vq （矢量量化）等降維演算法不同， nmf （非負矩陣分解）演算法能夠分解出非負的，稀疏的特徵矩陣和編碼矩陣，能夠提取原始數據向量的局部特徵，使基於局部特徵進行分類的聚類演算法更容易實現。 -
In this thesis, we mainly use snmf ( sparse nonnegative matrix factorization ) as the method of rank reduction, which extend the nmf to include the option to control sparseness explicitly
本文主要採用snmf （非負稀疏矩陣分解）演算法作為降維和提取特徵向量的工具，該演算法是在nmf演算法的基礎上加上顯式地稀疏因子控制而形成的一種非負矩陣分解方法。 -
Based on these advantages we analyze the performance of constant - power variable - rate m - qam schemes for spectrally efficient data transmission over nmf channels. by introducing the adaptive modulation approach, we gain two things : 1 ) the error rate is kept at a constant level. 2 ) the achievable spectral efficiency comes within 5 db of the shannon capacity limit. at the last chapter, the presentation of a single base station and a single mobile scenario proved the feasibility of adaptive schemes
然後作者的精力轉入通道的自適應方案的研究中，首先通過研究發現nakagami衰落因子的適當調整可以近似於常見的瑞利衰落和萊斯衰落，接著研究在無線通道中採用三種不同自適應方案時的通道容量，研究表明速率的調整是增加通道容量的關鍵，在此基礎上，著重研究了離散變速率qam的情況，表明這種調制方案無論在頻帶利用率還是在系統平均誤碼率比其它情況提高很多。 -
Secondly, we utilize the nmf ( non - negative matrix factorization ) algorithm to extract human face local feature subspace
然後，對獲得的類人臉膚色區域利用nmf （ non - negativematrixfactorization ）非負矩陣分解的方法提取人臉局部特徵子空間。 -
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
在眾多的特徵提取演算法中，基於全局特徵提取的主元成分分析（ principlecomponentanalysis ， pca ）是討論最多的經典演算法，與此對應的是基於局部特徵提取的非負矩陣分解（ non - negativematrixfactorization ， nmf ）演算法。 -
Network management function nmf
網路管理功能 -
Contains unique nmf elements and vitamin a that can penetrate into deep inside the skin, make skin experience the outstanding moisture and smooth feelings
蘊含獨有的nmf成份及維他命a ，能滲入肌膚深處，使肌膚體驗到前所未有的濕潤光滑。 -
The jidm work group of nmf is working for integrating cmip > snmp and corba. the integration of cmip > snmp and corba is the trend of network management
網路管理的趨勢是集成cmip 、 snmp協議和corba技術，從而充分利用標準網路管理協議和分佈對象計算的優勢。 -
Our experimental evaluations show that our methods surpass the nmf not only in the easy and reliable derivation of document clustering results, but also in document clustering accuracies
實驗結果顯示，在聚類的容易度、準確度、時間復雜度上均取得較nmf演算法更合理的效果。
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