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| -rw-r--r-- | report/paper.md | 4 |
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diff --git a/report/paper.md b/report/paper.md index b9abff5..037d0df 100644 --- a/report/paper.md +++ b/report/paper.md @@ -2,7 +2,9 @@ We randomly select 100k descriptors for K-means clustering for building the visual vocabulary (due to memory issue). Open the main_guideline.m and select/load the dataset. ->> [data_train, data_test] = getData('Caltech'); % Select dataset +``` +[data_train, data_test] = getData('Caltech'); +``` Set 'showImg = 0' in getData.m if you want to stop displaying training and testing images. Complete getData.m by writing your own lines of code to obtain the visual vocabulary and the bag-of-words histograms for both training and testing data. Show, measure and |