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| author | Vasil Zlatanov <v@skozl.com> | 2019-02-14 18:10:53 +0000 |
|---|---|---|
| committer | Vasil Zlatanov <v@skozl.com> | 2019-02-14 18:10:53 +0000 |
| commit | b45d8829a50e397348f504dda3150d01fd12be18 (patch) | |
| tree | 7789755187730e1cd7c9f99b787df7ad8e71c332 | |
| parent | e04112f5b85667b57dbb2680930f40f8e02daecc (diff) | |
| download | e4-vision-b45d8829a50e397348f504dda3150d01fd12be18.tar.gz e4-vision-b45d8829a50e397348f504dda3150d01fd12be18.tar.bz2 e4-vision-b45d8829a50e397348f504dda3150d01fd12be18.zip | |
Make K-means codebook primary title
| -rw-r--r-- | report/paper.md | 4 |
1 files changed, 1 insertions, 3 deletions
diff --git a/report/paper.md b/report/paper.md index 329efca..b0c29bc 100644 --- a/report/paper.md +++ b/report/paper.md @@ -1,6 +1,4 @@ -# Codebooks - -## K-means codebook +## K-means Codebook A common technique for codebook generation involves utilising K-means clustering on a sample of the image descriptors. In this way descriptors may be mapped to *visual* words which lend themselves to |