vector pattern造句
例句與造句
- Our proposed methods , matpca & matflda , can deal with not only the vector pattern , but also matrix pattern
我們提出的基于矩陣表示模式的特征提取方法( matpca和matflda ) ,不僅能直接處理向量表示的模式更能處理矩陣表示的模式,因此避免了上述問題。 - In addition , a vector pattern can be recombined into a matrix pattern using some matrixization technique and then be processed by matpca & matflda
另外對于向量表示的模式,我們通過矩陣化重組將其轉(zhuǎn)化成矩陣表示的形式,然后使用matpca和matflda方法進(jìn)行特征提取。 - The operating object of all these linear classifiers is vector pattern , i . e . , before applying them , any non - vector pattern should be firstly vectorized into a vector pattern
然而現(xiàn)有的線性分類器幾乎都是針對向量模式的,即所有的模式都采用向量表示,要應(yīng)用于矩陣表示的模式,必須首先將矩陣模式轉(zhuǎn)換成向量模式。 - In above mentioned matpca & matflda , a vector pattern is firstly reshaped into a matrix pattern and then processed by pca & flda . it follows a first - matrixization - then - extraction path
前面提到的matpca和matflda是將向量表示的模式轉(zhuǎn)換成矩陣表示的模式后再分別進(jìn)行pca和flda的方法,它具有先組合后提取的過程。 - It also analyses two patterns of gis case storage , by grid and vector , finally gives management content of gis case , key technology , workflow of two patterns and the contract between grid pattern and vector pattern
論文分析了gis案例存儲管理的兩種模式? ?柵格模式與矢量模式,并對這兩種模式進(jìn)行了深入地探討,歸納出了gis案例存儲管理的內(nèi)容、關(guān)鍵技術(shù)以及這兩種模式的管理流程,并對這兩種管理模式的優(yōu)缺點進(jìn)行了對比。 - It's difficult to find vector pattern in a sentence. 用vector pattern造句挺難的
- In these two methods a vector pattern is firstly partitioned into a set of sub - patterns , i . e . each sub - pattern in this set is only a part of the original vector pattern . after the partition , traditional pca & flda are used on these sub - pattern sets for sub - feature extraction
它首先將模式數(shù)據(jù)適當(dāng)?shù)姆殖扇舾蓚€獨立的子模式,然后分別對其子模式集使用pca和flda方法進(jìn)行特征的提取,最后將所有獲得的子特征作為模式的最后特征并用于分類。 - Then feature vectors pattern recognition with neural network are studied . based on the above - mentioned feature extraction methods and pattern recognition method , a gear transmission fault diagnosis system is designed and applied in diagnosing the gear transmission fault
在上述特征向量提取研究和特征向量的識別研究的基礎(chǔ)上,用小波包作為信號的特征提取方法和神經(jīng)網(wǎng)絡(luò)作為分類器,設(shè)計一個變速箱齒輪故障診斷系統(tǒng)并應(yīng)用于變速箱齒輪的故障診斷。 - But , such a vectorization will bring at least three potential problems : 1 ) structural or local contextual infor mation may be broken down ; 2 ) the higher the dimension of input pattern , the more me mory space are needed for the weight vector related to a classifier ; 3 ) when the dimension of a vector pattern is very high and while the sample size is small , it is easy to be overtrained
如此轉(zhuǎn)換至少會帶來三個不足: 1 )空間或結(jié)構(gòu)信息可能會遭到破壞; 2 )由于權(quán)向量的維數(shù)等于輸入模式的維數(shù),當(dāng)輸入模式維數(shù)很大時,權(quán)值的存儲空間相應(yīng)的會很大; 3 )對于大維數(shù)的向量模式,當(dāng)樣本數(shù)不多的時候,利用線性分類器易導(dǎo)致過擬合。 - This type of strategy has two main shortcomings : 1 ) useful information for classification task contained in the matrix structure may be jeopardized in the vectorizing procedure ; 2 ) after vectorizing procedure computation complexity in classification task may increase substantially due to the vector pattern representation
這種方法存在著兩個主要的缺點: 1 )矩陣模式中對分類有用的結(jié)構(gòu)信息很可能會因為向量化的操作而遭到破壞; 2 )向量化的操作極大的增加了特征提取及隨后識別的運算復(fù)雜度。