Bootstrapping [Sung and Poggio, 94] Start with a small set of non-face examples in the training set.
{"Image DocumentName": "Bootstrapping[Sung and Poggio, 94] Start with a small set of non-face examples in the training set.", "Image ImageDescription": "Train a MLP classifier with the current training set. Run the learned face detector on a sequence of random images. Collect all the non-face patterns that the current system wrongly classifies as faces (i.e., false positives) Add these non-face patterns to the training set. Got to Step 2 or stop if satisfied. Improve the system performance greatly. IEEE TRANS. ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, (1)", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}