668.txt

This complete matlab for neural network

发信人: fervvac (高远), 信区: DataMining
标  题: Re: [转载] A new milestone for face recognition - laplacianf
发信站: 南京大学小百合站 (Sat Aug 24 11:20:45 2002), 站内信件

Is the paper available?


【 在 GzLi (笑梨) 的大作中提到: 】
: 【 以下文字转载自 AI 讨论区 】
: 【 原文由 cloud 所发表 】
: we just proposed a new algorithm for subspace analysis (Dimension reduction w
: ith new algorithm "LLE").  There are several significances of the algorithm L
: LE. 
: 1. This is the first linear dimension reduction algorithm to approximate non-
: linear manifold
:   In the state of art algorithm for linear dimension reduction, PCA and LDA a
: re dominant two algorithms. However, both of them are derived from Euclidean 
: space, rather than manifold. But it has been known that the faces are distrib
: uted on a nonlinear 
: manifold. Therefore, the optimal algorithm for face recognition should be der
: ived directly from the perspective of manifold, rather than Euclidean space.
: 2. The basis obtained by PCA are orthogonal. While LLE will produce non-ortho
: gonal basis, just like LDA, ICA, etc. Therefore, it is be able to discover mo
: re complex topology of face manifold.
: 3. LLE has much more power to keep the discriminating information. Moreover, 
: it can be also used to do discriminating analysis, just like LDA.
: We will submit a paper about using LLE algorithm to do face recognition. It's
:  title will be "face recognition with lapacianface"
: (以下引言省略 ... ...)

--
※ 来源:．南京大学小百合站 bbs.nju.edu.cn．[FROM: 143.89.156.199]