In the last few years, research in pattern recognition has seen a remarkable shift towards hybrid models that integrate classical statistical methods with state-of-the-art deep learning techniques.

COURSE GOALS: To gain a profound understanding of the theories, algorithms, and applications of the state-of-the-art of statistical pattern recognition, various mathematical approaches, and the ...

However, the strict mathematical assumptions in Kleinberg [The Annals of Statistics 24 (1996) 2319-2349] are rarely met in practice. This paper provides an applicable way to realize the SD algorithm.

Although pattern recognition certainly has its flaws, technology has made tremendous advances toward algorithms that use pattern recognition effectively.