The series of ANNPR workshops act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and ...

Inspired by the bee brain, scientists develop a new AI model that could revolutionize how machines learn, adapt, and perceive ...

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.

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 ...

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 ...

Artificial intelligence (AI) is gaining a foothold in healthcare. Algorithms that use machine learning, deep learning, and ...

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 ...

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 ...