From 702cbeec081f884d336c5b61b8717b9df5b4c48b Mon Sep 17 00:00:00 2001 From: nunzip Date: Fri, 16 Nov 2018 17:32:58 +0000 Subject: Remove index --- report/metadata.yaml | 15 +++++++++------ 1 file changed, 9 insertions(+), 6 deletions(-) diff --git a/report/metadata.yaml b/report/metadata.yaml index d443c7f..30fd7fa 100755 --- a/report/metadata.yaml +++ b/report/metadata.yaml @@ -5,17 +5,20 @@ author: affilation: Imperial College location: London, UK email: vz215@ic.ac.uk, np@ic.ac.uk -keywords: - - one - - two - - three numbersections: yes lang: en babel-lang: english abstract: | - This is the abstract for the pattern recognition courswork. + In this coursework we will analyze the benefits of different face recognition methods. + On one hand we will analyze PCA, Principal Components Analysis. This method + allows dimensionality reduction, obtaining a generative subspace which is very reliable for + face reconstruction. - It consists of two paragraphs. + On the other hand LDA, Linear Discriminant Analysis, allows to perform a very reliable classification, + generating a discriminative subspace, in which the separation between classes is easier to recognize. + + In the final part we will analyze the benefits of using a combined version of the two methods using FIsherfaces. + As we will see, the PCA-LDA ensemble will obtain much more accurate results with a very high speed of computation. ... -- cgit v1.2.3-54-g00ecf