change pipeline such that pca is immediately calculated when the max number of...
change pipeline such that pca is immediately calculated when the max number of features has been extracted. New features will instantly be scaled down to number of pca dims. This is to save memory. 5000 imgs of oxford with 1000 descriptors per image each containing 1024 dims saved as 32 byte floats would amount to ~164 GB of memory required. + Calculating PCA Matrix on this would require much more. Also now standardizing features (0 mean, 1 std) before calculating/applying pca. This is identical to calculating PCA on correlation instead of covariance matrix.
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