linear subspace造句
例句與造句
- 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正交可補的充分必要條件 - 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正交可補的充分必要條件是,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)化一個分類問題在模式識別中是一個較為自然的想法。 - 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)有的各種時頻分析及其綜合算法的基礎(chǔ)上,詳細(xì)研究了時頻域濾波的核心思想和基本方法,吸取了自適應(yīng)時頻分析和線性子空間投影wigner - ville變換的優(yōu)點,提出了的兩種新的時頻域濾波方法,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。 - It's difficult to find linear subspace in a sentence. 用linear subspace造句挺難的