Introduction Traditional pattern recognition models use hand crafted features and relatively simple trainable hand-crafted Simple feature Trainable outpu extractor Classifier This approach has the following limitations It is very tedious and costly to develop hand crafted features The hand-crafted features are usually highly dependents on one application, and cannot be transferred easily to other applicationsIntroduction • Traditional pattern recognition models use hand￾crafted features and relatively simple trainable classifier. • This approach has the following limitations: – It is very tedious and costly to develop hand￾crafted features – The hand-crafted features are usually highly dependents on one application, and cannot be transferred easily to other applications hand-crafted feature extractor “Simple” Trainable Classifier output