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for reproducing the results of detection on cat category

eg. run "learning_fastSparseFrame_cat.m" first, then run "detection_cat_sparseFrame.m"


the model will be saved in folder "results"
the training iamges are saved in folder "positiveImage"
the detection results and the intermediate results will be saved in folder "detection_result"
the filters selection results will be saved in folder "document"
the synthesized images for each iteration will be saved in folder "synthesizedImage".

for reproducing the results of detection on other categories, such as tiger, wolf, deer, lion.  Just replace the "xxx" by the category names.

step 1:
learning_fastSparseFrame_xxx.m"

step 2:
detection_xxx_sparseFrame.m


The codes for tiger, wolf, and lion includes estimating logZ. (logZ is not necessary for detection task) 
The codes for deer and cat do not includes estimating logZ. (for detection, this code without computing logZ will be faster).
