Big miss rate gap between two different training process configurations after adding DCT channels

[LevinJ]

After adding DCT channels into the detector, a big gap of miss rate is observed between two types of training configurations configurations:

Configuration 1:

HOG-Like features, namely 8X8 pixel block, positioned regularly each 4 pixels. Miss rate: 0.256321

Configuration 2: HOG-multiScale, namely squares of all sizes, positioned regularly each 4 pixels. Miss rate: 0.418342

The problem can be reproduced from below version of the codes:

1b6169ea538cc8fff04268eba3f3484913a588b9

The two configuration files are

https://github.com/LevinJ/Pedestrian-Detection-Project/blob/checkdct/src/applications/boosted_learning/inria_speedy_training_config.ini and https://github.com/LevinJ/Pedestrian-Detection-Project/blob/checkdct/src/applications/boosted_learning/eccvw2014_squareschnftrs_inria_training.config.ini