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authorVasil Zlatanov <v@skozl.com>2018-11-20 12:26:26 +0000
committerVasil Zlatanov <v@skozl.com>2018-11-20 12:26:26 +0000
commitb647d6f64be931797f7d00df19130f1fe48129b6 (patch)
tree299e93e3bd96ae568b3e3666039e28bfa8da3494
parent40bff320aacdda8d577a7ebd9a74aeae45523ed8 (diff)
parent9bf16d672912104488c22efb216d309c008c3933 (diff)
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Merge branch 'master' of skozl.com:e4-pattern
-rwxr-xr-xreport/metadata.yaml4
1 files changed, 3 insertions, 1 deletions
diff --git a/report/metadata.yaml b/report/metadata.yaml
index 99de501..c7ede78 100755
--- a/report/metadata.yaml
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@@ -17,8 +17,10 @@ abstract: |
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.
+ 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.
+ The data used includes 52 classes with 10 samples each. The number of features is 2576(since the size of the pictures is 46x56).
+
...