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.

Machine learning plays a pivotal role in the development of autonomous vehicles and robots. In the realm of mechanical ...

It's a commonplace of artificial intelligence to say that machine learning, which depends on vast amounts of data, functions by finding patterns in data. The phrase, "finding patterns in data," in ...

Pattern Recognition Letters 167 (2023): 60-66. Bavandsavadkouhi, Iman, Saeed Khazaee, and Ching Y. Suen. "An Autoencoding Method for Detecting Counterfeit Coins." In Structural, Syntactic, and ...

However, machine learning just helps to identify patterns within data sets and thus tries to make predictions based on existing data. It is most important to check the plausibility and correctness ...

C. M. Bishop, Pattern Recognition and Machine Learning, Springer 2006 K. Murphy, Machine Learning: A Probabilistic Perspective, MIT Press, 2012 S. Rogers and M. Girolami, A First Course in Machine ...

The Document and Pattern Recognition Lab started in Summer 2007. We research pattern recognition and machine learning techniques for extracting and searching information in documents and videos. Our ...

The International Association for Pattern Recognition (IAPR) has awarded its 2020 King-Sun Fu Prize to Concordia’s Ching Yee Suen. Suen earned the honour for his pioneering research and exceptional ...