linear subspaces中文是什么意思

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中文翻譯
造句

[數(shù)] 線性子空間

right one-dimensional linear subspaces 右一維線性子空間
defect subspaces 坑空間
invariant subspaces 不變子空間
orthogonal subspaces 正交子空間
parallel subspaces 平行子空間
sequence of subspaces 子空間序列
trivial subspaces 平凡子空間
composition of vector subspaces 向量子空間的合成
finite element subspaces 有限元子空間
sum of vector subspaces 向量子空間和
be linear with 與...成線性關(guān)系
linear adj. 1.線的，直線的。 2.長度的。 3.【數(shù)學(xué)】一次的，線性的。 4.【動(dòng)、植】線狀的；細(xì)長的。 5.由線條組成的，以線條為主的，強(qiáng)調(diào)線條的。 linear amplification 直線放大。 a linear equation 一次方程式。 a linear leaf 線形葉。 linear arts 線條藝術(shù)。
linear a 線形文字a; 線性文字a
no-linear 非線性的
linear linear 線性的
linear a and linear b 線形文字甲和乙
linear scan, linear scanning 線掃查
a linear design 線條圖案
a linear leaf 長葉片
acceleration; linear 直線加速度
accelerator linear 直線加速器
adaptive linear 線性適配倒角
almost-linear 準(zhǔn)線性
array, linear 線性陣列
circuitry, linear 線性電路

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例句與用法

Necessary and sufficient conditions for every closed maximal linear subspace to be strongly orthogonally complemented in banach spaces
空間上閉線性子空間強(qiáng)正交可補(bǔ)的充分必要條件
We proved that every closed maximal linear subspace in a banach space is strongly orthogonally complemented if and only if the space x is reflexive and strictly convex
摘要證明了閉的極大線性子空間是強(qiáng)正交可補(bǔ)的充分必要條件是，空間x是自反嚴(yán)格凸的。
(2 ) a face detector based on mixtures of linear subspaces on the pattern recognition, it is very natural to view face detection as a problem of classification
(2)基于混合線性子空間人臉檢測方法將人臉檢測問題轉(zhuǎn)化一個(gè)分類問題在模式識別中是一個(gè)較為自然的想法。
Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace, we use a mixture of linear subspaces to model the distribution efface and non-face patterns . in the other words, we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space
對于背景復(fù)雜的人臉圖象的檢測，使用單個(gè)線性線性子空間很難準(zhǔn)確地區(qū)分出人臉和非人臉模式，因此，本文使用混合線性子空間對人臉和非人臉樣本的分布進(jìn)行建模，在利用自組織映射神經(jīng)網(wǎng)絡(luò)標(biāo)識人臉和非人臉樣本的基礎(chǔ)上構(gòu)建一個(gè)fisher人臉檢測器。
Since the images of a human face lie in a complex subset of the image space that is unlikely to be modeled by a single linear subspace, we use a mixture of linear subspaces to model the distribution efface and non-face patterns . in the other words, we used fisher linear discriminator to project samples from a height dimensional image space to a lower dimensional feature space
對于背景復(fù)雜的人臉圖象的檢測，使用單個(gè)線性線性子空間很難準(zhǔn)確地區(qū)分出人臉和非人臉模式，因此，本文使用混合線性子空間對人臉和非人臉樣本的分布進(jìn)行建模，在利用自組織映射神經(jīng)網(wǎng)絡(luò)標(biāo)識人臉和非人臉樣本的基礎(chǔ)上構(gòu)建一個(gè)fisher人臉檢測器。
It's a problem of great significance how to filtering a signal in joint time-frequency domain and reconstruct the time series from the time-frequency plane selected . in this thesis, the theory of joint time-frequency analysis and synthesis and time-frequency filtering is investigated . two kinds of new time-frequency domain filtering methods are proposed based on adaptive decomposition and linear subspace projection
本文在系統(tǒng)學(xué)習(xí)現(xiàn)有的各種時(shí)頻分析及其綜合算法的基礎(chǔ)上，詳細(xì)研究了時(shí)頻域?yàn)V波的核心思想和基本方法，吸取了自適應(yīng)時(shí)頻分析和線性子空間投影wigner-ville變換的優(yōu)點(diǎn)，提出了的兩種新的時(shí)頻域?yàn)V波方法，并通過理論分析和數(shù)字仿真完成了相應(yīng)的數(shù)值特性與應(yīng)用特性研究。

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